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Relevant bibliographies by topics / Heterogeneous treatment effect

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Academic literature on the topic 'Heterogeneous treatment effect'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Heterogeneous treatment effect"

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Tran, Christopher, and Elena Zheleva. "Learning Triggers for Heterogeneous Treatment Effects." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5183–90. http://dx.doi.org/10.1609/aaai.v33i01.33015183.

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The causal effect of a treatment can vary from person to person based on their individual characteristics and predispositions. Mining for patterns of individual-level effect differences, a problem known as heterogeneous treatment effect estimation, has many important applications, from precision medicine to recommender systems. In this paper we define and study a variant of this problem in which an individuallevel threshold in treatment needs to be reached, in order to trigger an effect. One of the main contributions of our work is that we do not only estimate heterogeneous treatment effects w

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Grimmer, Justin, Solomon Messing, and Sean J. Westwood. "Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods." Political Analysis 25, no. 4 (2017): 413–34. http://dx.doi.org/10.1017/pan.2017.15.

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Randomized experiments are increasingly used to study political phenomena because they can credibly estimate the average effect of a treatment on a population of interest. But political scientists are often interested in how effects vary across subpopulations—heterogeneous treatment effects—and how differences in the content of the treatment affects responses—the response to heterogeneous treatments. Several new methods have been introduced to estimate heterogeneous effects, but it is difficult to know if a method will perform well for a particular data set. Rather than using only one method,

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Coppock, Alexander, Thomas J. Leeper, and Kevin J. Mullinix. "Generalizability of heterogeneous treatment effect estimates across samples." Proceedings of the National Academy of Sciences 115, no. 49 (2018): 12441–46. http://dx.doi.org/10.1073/pnas.1808083115.

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The extent to which survey experiments conducted with nonrepresentative convenience samples are generalizable to target populations depends critically on the degree of treatment effect heterogeneity. Recent inquiries have found a strong correspondence between sample average treatment effects estimated in nationally representative experiments and in replication studies conducted with convenience samples. We consider here two possible explanations: low levels of effect heterogeneity or high levels of effect heterogeneity that are unrelated to selection into the convenience sample. We analyze sub

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MaCurdy, Thomas, Xiaohong Chen, and Han Hong. "Flexible Estimation of Treatment Effect Parameters." American Economic Review 101, no. 3 (2011): 544–51. http://dx.doi.org/10.1257/aer.101.3.544.

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A variety of identification strategies have a common cell structure, in which the observed heterogeneity of the regression defines a partition of the sample into cells. Typically in the presence of exogenous covariates that define the cell structure, identification assumptions are imposed conditional on each value of the covariate, or cell by cell. Treatment effects across cells are typically heterogeneous. Researchers might be interested in unconditional parameters which are the averaged treatment effects across the cells. Alternatively, treatment effects can be estimated more efficiently if

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Brooks, John M., Cole G. Chapman, and Mary C. Schroeder. "Understanding Treatment Effect Estimates When Treatment Effects Are Heterogeneous for More Than One Outcome." Applied Health Economics and Health Policy 16, no. 3 (2018): 381–93. http://dx.doi.org/10.1007/s40258-018-0380-z.

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Athey, Susan, and Guido Imbens. "Recursive partitioning for heterogeneous causal effects." Proceedings of the National Academy of Sciences 113, no. 27 (2016): 7353–60. http://dx.doi.org/10.1073/pnas.1510489113.

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In this paper we propose methods for estimating heterogeneity in causal effects in experimental and observational studies and for conducting hypothesis tests about the magnitude of differences in treatment effects across subsets of the population. We provide a data-driven approach to partition the data into subpopulations that differ in the magnitude of their treatment effects. The approach enables the construction of valid confidence intervals for treatment effects, even with many covariates relative to the sample size, and without “sparsity” assumptions. We propose an “honest” approach to es

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Gao, Zijun, Trevor Hastie, and Robert Tibshirani. "Assessment of heterogeneous treatment effect estimation accuracy via matching." Statistics in Medicine 40, no. 17 (2021): 3990–4013. http://dx.doi.org/10.1002/sim.9010.

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Huntington-Klein, Nick. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness." Journal of Causal Inference 8, no. 1 (2020): 182–208. http://dx.doi.org/10.1515/jci-2020-0011.

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AbstractIn Instrumental Variables (IV) estimation, the effect of an instrument on an endogenous variable may vary across the sample. In this case, IV produces a local average treatment effect (LATE), and if monotonicity does not hold, then no effect of interest is identified. In this paper, I calculate the weighted average of treatment effects that is identified under general first-stage effect heterogeneity, which is generally not the average treatment effect among those affected by the instrument. I then describe a simple set of data-driven approaches to modeling variation in the effect of t

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Yu, Miao, Wenbin Lu, and Rui Song. "A New Framework for Online Testing of Heterogeneous Treatment Effect." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (2020): 10310–17. http://dx.doi.org/10.1609/aaai.v34i06.6594.

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We propose a new framework for online testing of heterogeneous treatment effects. The proposed test, named sequential score test (SST), is able to control type I error under continuous monitoring and detect multi-dimensional heterogeneous treatment effects. We provide an online p-value calculation for SST, making it convenient for continuous monitoring, and extend our tests to online multiple testing settings by controlling the false discovery rate. We examine the empirical performance of the proposed tests and compare them with a state-of-art online test, named mSPRT using simulations and a r

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Bae, Sunjae. "Is Variance Ratio a Valid Indicator of Heterogeneous Treatment Effect?" JAMA Psychiatry 77, no. 2 (2020): 216. http://dx.doi.org/10.1001/jamapsychiatry.2019.3372.

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Dissertations / Theses on the topic "Heterogeneous treatment effect"

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ZHANG, YUYANG. "Heterogeneous Treatment Effect Estimation in Observational Studies using Tree-based methods." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587037857042995.

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Ozbeklik, Ismail Serkan. "Impact of legal and public policy changes on social and economic behavior." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185350130.

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Bachtrögler, Julia. "On the effectiveness of EU structural funds during the Great Recession: Estimates from a heterogeneous local average treatment effects framework." WU Vienna University of Economics and Business, 2016. http://epub.wu.ac.at/5157/1/wp230.pdf.

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This study investigates the heterogeneity of European NUTS-2 regions with regard to their ability to take advantage of European Union (EU) structural funds aimed at convergence. It considers a concept of absorptive capacity based on regional policy design, and additionally accounts for the programming period 2007-2013 in the empirical analysis. A fuzzy regression discontinuity design allowing for heterogeneous treatment effects is applied to evaluate convergence funds in 250 NUTS-2 regions from 2000 (and 1989) to 2013. The main results suggest a positive conditional impact of funds payments on

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Adityosulindro, Sandyanto. "Activation of homogeneous and heterogeneous Fenton processes by ultrasound and ultraviolet/visible irradiations for the removal of ibuprofen in water." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/17913/7/aditosulindro-sandyanto.pdf.

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Due to booming consumption and only partial removal by conventional water treatment processes, ibuprofen, a non-steroidal anti-inflammatory drug, has been detected in water resources, raising increasing concerns for possible environmental and health impact. On the other hand, advanced oxidation processes (AOPs), among which Fenton reaction, have shown successful results forremoval of various organic compounds. Traditionally based on the use of hydrogen peroxide and ferrous ions in solution, large-scale application of this AOP is still limited by narrow pH window (2 to 4) and uneasy recovery of

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Hartley, Robert Paul. "ESSAYS ON INTERGENERATIONAL DEPENDENCY AND WELFARE REFORM." UKnowledge, 2017. http://uknowledge.uky.edu/economics_etds/29.

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This dissertation consists of three essays related to the effects of welfare reform on the intergenerational transmission of welfare participation as well as effects on labor supply and childcare arrangements. States implemented welfare reform at different times from 1992 to 1996, and these policies notably introduced work requirements and other restrictions intended to limit dependency of needy families. One mechanism reforms were intended to address was childhood exposure to a "culture" of ongoing welfare receipt. In Essay 1, I estimate the effect of reform on the transmission of welfare par

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Araújo, Wilson Nicolau Melim. "The Margins of portuguese trade and the euro." Master's thesis, Instituto Superior de Economia e Gestão, 2011. http://hdl.handle.net/10400.5/10185.

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Mestrado em Econometria Aplicada e Previsão<br>Este artigo analisa as características seccionais e temporais das exportações Portuguesas entre 1995 e 2002, antes e depois da introdução da moeda única europeia: o Euro. A análise baseia-se num conjunto de margens de comércio, que compõem o valor total das exportações num dado mercado, incluindo o número de empresas exportadoras, o número de produtos exportados (margem extensiva), e as exportações médias por combinação empresa-produto (margem intensiva). Usando uma base de dados de comércio internacional para Portugal, extremamente rica e extens

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Mickey, Ryan. "Essays in the Economics of Aging." 2015. http://scholarworks.gsu.edu/econ_diss/118.

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In this dissertation, I explore how economic decisions diverge for different age groups. Two essays address the location decisions of older households while the third examines why different age cohorts donate to charities. The first essay estimates how the age distribution of the population across cities will change as the number of older adults rises. I use a residential sorting model to estimate the location preference heterogeneity between younger and older households. I then simulate where the two household types will live in 2030. All MSAs end up with a higher proportion of older househol

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Park, Sang Soo. "Inference on partially identified parameters with applications to the evaluation of heterogeneous treatment effects /." Diss., 2008. http://etd.library.vanderbilt.edu/ETD-db/available/etd-06092008-101923/.

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Yu-ChangLin and 林裕昌. "Applying indicator variable to the constrained optimization of experimental designs to identify heterogeneous treatment effects under multiple experimental environments." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/84268479383404560830.

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碩士<br>國立成功大學<br>工業與資訊管理學系<br>102<br>Applying indicator variable to the constrained optimization of experimental designs to identify heterogeneous treatment effects under multiple experimental environments Author: Yu-Chang Lin Advisor: Yu-Ching Chang Key words: block, indicator variable, multiple experimental environments, optimal design, quality management National Cheng Kung University Department of Industrial and Information Management SUMMARY In this article, we offer a Design of Experiments (DOE) method to model the performance of multiple experimental environments. Indicator variable

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Books on the topic "Heterogeneous treatment effect"

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Alan, Manning. Instrumental variables for binary treatments with heterogeneous treatment effects: A simple exposition. Centre for Economic Performance, London School of Economics and Political Science, 2004.

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Hastings, Justine S. Preferences and heterogeneous treatment effects in a public school choice lottery. National Bureau of Economic Research, 2006.

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Ham, John C. Estimating heterogeneous treatment effects of medicaid expansions on take-up and crowd-out. National Bureau of Economic Research, 2010.

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Lösel, Friedrich, and Martin Schmucker. Treatment of sex offenders. Edited by Teela Sanders. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213633.013.23.

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This essay discusses various treatments for sexual offenders and their success in reducing reoffending. Overall, research reveals a positive treatment effect that indicates up to 25 per cent less recidivism in treatment versus control groups. Cognitive-behavioral therapy, relapse prevention, and programs based on the Risk–Need–Responsivity model have the strongest evidence base, although the studies and findings are heterogeneous and outcomes vary depending on many factors. Most promising are programs that involve treatment in the community and in forensic hospitals, delivered in a partly indi

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P, Florens J., and National Bureau of Economic Research., eds. Identification of treatment effects using control functions in models with continuous, endogenous treatment and heterogeneous effects. National Bureau of Economic Research, 2008.

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Hart, Tessa. Cognitive Enhancement in Traumatic Brain Injury. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190214401.003.0006.

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Traumatic brain injury (TBI) is a prevalent source of disability. This chapter reviews the major approaches to remediation of cognitive dysfunction following TBI, in both the early and post-acute phases of recovery. Pharmacologic and behavioral treatments are discussed, focusing on the three major areas of cognition affected by TBI: attention, memory, and executive function. Trials of pharmacologic treatments, especially neuroprotective agents, have resulted in few treatment guidelines, probably due to the heterogeneous pathophysiology of TBI. Among behavioral treatments, both restorative and

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Oscar-Berman, Marlene, Trinity A. Urban, and Avram J. Holmes. Effects of Alcoholism on Neurological Function and Disease in Adulthood. Edited by Kenneth J. Sher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199381708.013.22.

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Alcoholism is associated with disparate and widespread negative consequences for brain anatomy and function. Consistent with a diffuse neurobiological profile, alcoholism is marked by a heterogeneous mix of cognitive and emotional abnormalities. Alcohol use disorders arise through diverse origins and follow an uncertain clinical course, with severity and consequences depending on many factors. The identification of specific alcoholism-related deficits is constrained both by methodological techniques employed and the distinct populations studied. To understand alcoholism-related alterations in

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Jaggar, Siân, and Helen Laycock. Acute pain in the intensive cardiac care unit. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0073.

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◆ Cardiac intensive care units admit a heterogeneous patient group◆ Pain is common, occurring in up to 70% of medical and surgical patients◆ Effective analgesia is important◆ Pain is under-recognized and inadequately treated, particularly in medical patients◆ Consequences of pain are widespread, involving multisystem physiological changes◆ Pain causes significant psychological sequelae for patients, and ethical implications for physicians◆ Pain management should utilize a systematic approach. Ensuring optimal patient comfort requires:○ Understanding of the potential causes of pain in cardiac i

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Jaggar, Siân, and Helen Laycock. Acute pain in the intensive cardiac care unit. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0073_update_001.

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◆ Cardiac intensive care units admit a heterogeneous patient group◆ Pain is common, occurring in up to 70% of medical and surgical patients◆ Effective analgesia is important◆ Pain is under-recognized and inadequately treated, particularly in medical patients◆ Consequences of pain are widespread, involving multisystem physiological changes◆ Pain causes significant psychological sequelae for patients, and ethical implications for physicians◆ Pain management should utilize a systematic approach. Ensuring optimal patient comfort requires:○ Understanding of the potential causes of pain in cardiac i

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Keogh, Karina A. Vasculitis in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0277.

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The vasculitic syndromes are a heterogeneous group of rare disorders characterized by degrees of inflammation and necrosis of blood vessels with a wide variety of clinical manifestations. Intensive care treatment is most commonly required for vasculitis involving small blood vessels, including capillaries. Involvement of these vessels in the lung causes alveolar haemorrhage, which may lead to respiratory failure. In the kidneys it may cause glomerulonephritis leading to renal failure. Severe cardiac, neurological, and gastrointestinal manifestions can also be seen. Non-vasculitic manifestation

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Book chapters on the topic "Heterogeneous treatment effect"

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Koenker, Roger. "Rank tests for heterogeneous treatment effects with covariates." In Institute of Mathematical Statistics Collections. Institute of Mathematical Statistics, 2010. http://dx.doi.org/10.1214/10-imscoll714.

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Zhao, Jianing, Daniel M. Runfola, and Peter Kemper. "Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71273-4_17.

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Camelo, Felipe, and Anne Le. "The Intricate Metabolism of Pancreatic Cancers." In The Heterogeneity of Cancer Metabolism. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65768-0_5.

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AbstractCurrently, approximately 95% of pancreatic cancers are pancreatic ductal adenocarcinomas (PDAC), which are the most aggressive form and the fourth leading cause of cancer death with extremely poor prognosis [1]. Poor prognosis is primarily attributed to the late diagnosis of the disease when patients are no longer candidates for surgical resection [2]. Cancer cells are dependent on the oncogenes that allow them to proliferate limitlessly. Thus, targeting the expression of known oncogenes in pancreatic cancer has been shown to lead to more effective treatment [3]. This chapter discusses the complexity of metabolic features in pancreatic cancers. In order to comprehend the heterogeneous nature of cancer metabolism fully, we need to take into account the close relationship between cancer metabolism and genetics. Gene expression varies tremendously, not only among different types of cancers but also within the same type of cancer among different patients. Cancer metabolism heterogeneity is often prompted and perpetuated not only by mutations in oncogenes and tumor-suppressor genes but also by the innate diversity of the tumor microenvironment. Much effort has been focused on elucidating the genetic alterations that correlate with disease progression and treatment response [4, 5]. However, the precise mechanisms by which tumor metabolism contributes to cancer growth, survival, mobility, and aggressiveness represent a functional readout of tumor progression (Fig. 1).

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Iwata, Kazuya. "Psychopharmacology." In Oxford Assess and Progress: Psychiatry. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199665662.003.0015.

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Psychotropic drugs are the main form of physical treatment in psychiatry and they exert their action by mainly acting on dopamine, noradrenaline, serotonin, and muscarinic receptors. Antipsychotics, which are the mainline treatment for psychotic illnesses, usually act by blocking dopamine receptors in the dopamine pathways of the brain, usually the mesolimbic system. The D2 receptors are the usual target of the antipsychotics, although clozapine, which is considered the gold standard antipsychotic, has a strong affinity for the D4 receptors. The underlying principle of antipsychotic treatment builds on the dopamine theory of schizophrenia, whereby an excess of dopamine is linked to the development of psychotic symptoms. Overactive dopamine receptors are thought to be involved in this, and thus blockage of the dopamine receptors through antipsychotics can provide relief from psychotic symptoms. Antipsychotics are divided into typical and atypical, and the defining feature of typicals is their propensity to cause EPSEs. This is thought to be due to the fact that typical antipsychotics are not specific for dopamine receptors in the mesolimbic pathways, but can also block those in mesocortical, tuberoinfundibular, and nigrostriatal pathways. Atypical antipsychotics can impact on a variety of receptor types, such as serotonin, and thus they are usually subclassified according to their pharmacological properties. Their heterogeneous pharmacodynamics in part explains their variable side-effect profile. One common side-effect of atypical antipsychotics is their tendency to trigger metabolic syndrome, which is a cluster of cardiovascular risk factors including dyslipidaemia, hypertension, central obesity, and impaired glucose tolerance. They also cause endocrine-related side-effects, such as hyperprolactinaemia. An important adverse effect seen with any antipsychotic is neuroleptic malignant syndrome (NMS), which is an idiosyncratic reaction to antipsychotics taken even at therapeutic doses. Patients can present with hyperthermia, rigidity, autonomic disturbances, and altered mental state over 24–48 hours. It can be potentially life threatening, and thus, if suspected, urgent referral to a general hospital is required. Antidepressants also vary greatly with regards to their pharmacological properties, but the majority increase the concentration of neurotransmitters in the synaptic cleft to alleviate depressive symptoms.

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Gülşen, Aşkın. "Asthma Phenotypes and Current Biological Treatments." In Asthma [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97376.

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Asthma is a heterogeneous disease characterized by bronchial hyperreactivity, chronic airway inflammation, and reversible airflow obstruction, and it affects individuals in all age groups. In recent years, the concept of intrinsic and extrinsic asthma as per the former classification has been replaced by endotypic and phenotypic definitions. However, the two main asthma endotypes described and have simplified its classification. These endotypes, “Th2-high” and “Th2-low”, are based on various measurements obtained for different biological materials, including blood, bronchial and sputum samples. The definitions of asthma is useful for targeted and individualized treatments, estimating the treatment response and prognosis. In the field of respiratory medicine, biological drugs (BDs) have shown rapid evolution and positive developments in the last 10 years, particularly for the treatment of asthma, interstitial lung disease, and lung cancer. However, because of the increasing number of BDs and associated studies, it has become very difficult to update treatment guidelines on a regular basis. BDs are used for patients with difficult-to-treat, moderate to severe, and/or uncontrolled allergic asthma. Here we present a review of current asthma phenotypes and the role, efficacy, and side effects of BDs used for the treatment of these conditions.

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Weintraub, Marc J., and Jamie Zinberg. "The Unified Protocol for Use with Adolescents with or at Risk for Serious Mental Illness." In Applications of the Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents, edited by Jill Ehrenreich-May and Sarah M. Kennedy. Oxford University Press, 2021. http://dx.doi.org/10.1093/med-psych/9780197527931.003.0006.

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Youths with or at high risk for serious mental illness (SMI; i.e., psychotic or bipolar disorders) have heterogeneous psychiatric symptoms, including significant overlap with more common depressive and anxiety disorders. There are also heterogeneous illness trajectories, as some youth go on to develop chronic and debilitating SMIs while a large proportion have symptoms that remit or remain relatively milder. This chapter presents the rationale for using the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in Adolescents (UP-A) as a first-line, transdiagnostic, cognitive-behavioral treatment for youth with early SMI symptoms. This treatment is delivered in a group format including parents in an effort to reduce stigma, increase social support, and improve skill acquisition. Preliminary feasibility and efficacy data are presented as well as a case vignette. Recommendations are offered on how to deliver this treatment and troubleshoot common difficulties.

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Eddleston, Michael, and Hans Persson. "Poisonous plants." In Oxford Textbook of Medicine, edited by Jon G. Ayres. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198746690.003.0216.

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Many plants contain toxic substances—heterogeneous in chemical composition and diverse in toxic effects. When classifying plant poisonings, a pragmatic approach is to look at the main clinical effects, but it should be emphasized that few plant toxins produce just one type of symptom and that symptomatology is often multiple, with some features predominating. Ingestion of, or contact with, poisonous plants is common but serious plant poisoning is rare worldwide because most plant exposures are accidental: the majority occur in small children, the ingested dose is usually small, and no treatment is required. Treatment of severe plant poisoning includes careful decontamination and symptomatic and supportive care. Specific antidotes are only available for poisoning by plants containing belladonna alkaloids (physostigmine), cardiac glycosides (digoxin-specific Fab fragments), and cyanogenic agents (dicobalt edetate, hydroxocobalamin).

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Jaggar, Siân, and Helen Laycock. "Pain in the intensive cardiovascular care unit." In The ESC Textbook of Intensive and Acute Cardiovascular Care, edited by Marco Tubaro, Pascal Vranckx, Eric Bonnefoy-Cudraz, Susanna Price, and Christiaan Vrints. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198849346.003.0072.

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Cardiac intensive care units admit a heterogeneous patient group Pain is common, occurring in up to 70% of medical and surgical patients Effective analgesia is important Pain is under-recognized and inadequately treated, particularly in medical patients Consequences of pain are widespread, involving multisystem physiological changes Pain causes significant psychological sequelae for patients, and ethical implications for physicians Pain management should utilize a systematic approach. Ensuring optimal patient comfort requires: Understanding of the potential causes of pain in cardiac intensive care Using validated pain assessment tools to identify the presence of pain and evaluate treatment effects Employing a multimodal, multidisciplinary management strategy

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Marco, Javier, Irene Peris, Carmen Vicente, and Elena Arriazu. "The Key Role of the Phosphatase PP2A in the Development of Acute Myeloid Leukemia." In Acute Leukemias. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94380.

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Acute myeloid leukemia (AML) is a heterogeneous malignant disorder of hematopoietic progenitor cells characterized by the accumulation of several genetic and epigenetic mutations. Despite the progressive understanding of the molecular heterogeneity of the disease, the survival rate of patients older than 60 years old remains poor. Therefore, it is necessary to develop an effective treatment strategy for those patients in order to beat the disease and improve life quality. Reversible phosphorylation has been widely studied over the last years, and the deregulation of kinases and phosphatase have been verified to have a huge impact in leukemogenesis. Inactivation of the tumor-suppressor protein phosphatase 2A (PP2A) is frequent in AML patients, constituting a promising target for cancer therapy. There are several PP2A inactivation mechanisms. However, overexpression of SET or cancerous inhibitors of PP2A, both endogenous inhibitors of PP2A, are recurrent events in AML patients, leading to the inactivation of the phosphatase PP2A. Preclinical studies show that PP2A reactivation using PP2A-activating drugs (PADs) manage to stop the development of the disease, and its combination with conventional chemotherapy and tyrosine kinase inhibitors have a synergistic cytotoxic effects. Recent studies have demonstrated that specifically activation of PP2A subunits, target crucial pathogenic drivers, increasing the efficacy of conventional treatments and opening new possibilities for personalized treatment in AML patients, especially in cases of PP2A deregulation. Here, we review the role of PP2A in AML as well as its drugable options.

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Waseem A. Sheikh, Naheed, Satish B. Kosalge, Tusharbindu R. Desai, Anil P. Dewani, Deepak S. Mohale, and Alok S. Tripathi. "Natural Iron Chelators as Potential Therapeutic Agents for the Treatment of Iron Overload Diseases." In Trace Elements and Their Effects on Human Health and Diseases. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98749.

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Iron overload disease is a group of heterogeneous disease, which is caused either due to hereditary or acquired condition. Excess of iron participate in redox reactions that catalyzes the generation of reactive oxygen species (ROS) and increases oxidative stress, which causes cellular damage and encourage the cell injury and cell death. The electronic databases of Scopus, PubMed and Google Scholar have been intensively searched for the research as well as review articles published with the full text available and with the key words such as natural iron chelating agent, synthetic iron chelating agents, iron overload disease, oxidative stress and antioxidant which were appearing in the title, abstract or keywords. In light of the literature review presented in this artial, based on meta-analyses, we suggest that iron chelating agents were used for the management of iron overload disease. These agents were having wide spectrum of activity, they were not only used for the management of iron overload disease but also used as anticancer and antioxidant in various oxidative stress mediated diseases. Last from many years Desferoxamine (DFO) was used as standard iron chelator but currently two new synthetic iron chelators such as Deferiprone (DFP) and Deferasirox (DFS) are available clinically. These clinically available synthetic iron chelators were having serious side effects and certain limitations. Phytochemicals such as flavonoids and polyphenols compounds were having iron chelating as well as antioxidant property with no or minimal side effects. Hence, this review provides an updates on natural iron chelation therapy for the safe and efficacious management of iron overload diseases.

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Conference papers on the topic "Heterogeneous treatment effect"

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Xie, Yuxiang, Nanyu Chen, and Xiaolin Shi. "False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments." In KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2018. http://dx.doi.org/10.1145/3219819.3219860.

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Jianbo Lu, Clément Vigneault, MarieThérèse Charles, G. S. Vijaya Raghavan, and Bernard Goyette. "Effect of Thermodynamic Parameters on Tomato Ripening and Chilling Injury under Heterogeneous Heat Treatment." In 2007 Minneapolis, Minnesota, June 17-20, 2007. American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23012.

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Li, Jikui, Liangzhi Cao, Tiejun Zu, HongChun Wu, and Qingming He. "Resonance Self-Shielding Treatment for Fully Ceramic Micro-Encapsulated Fuels With the Embedded Self-Shielding Method." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66810.

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Fully ceramic micro-encapsulated (FCM) fuels generate double heterogeneity (DH) challenging greatly for classical resonance self-shielding calculation method. New methodologies have been proposed and verified in this research. The target of this study is to provide homogeneous multi-group cross sections reflecting the effect of DH. Embedded Self-Shielding Method (ESSM) [1] was selected to perform resonance self-shielding calculation. Therefore, Monte Carlo code MVP [2] which is capable of well modeling the stochastic dispersed tri-structural isotropic (TRISO) coated fuel particle throughout ca

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Najafabadi, Hamed Abedini, and Nesrin Ozalp. "Effect of Carbon Particle Seeding As Radiant Absorbent for Enhanced Heat Transfer." In ASME 2019 Heat Transfer Summer Conference collocated with the ASME 2019 13th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ht2019-3657.

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Abstract Carbon particles can be used as catalyst in solar reactors where they serve as radiant absorbent and nucleation sites for the heterogeneous decomposition reaction. Unlike commonly used metal catalysts, carbon catalyst does not have durability problem and high cost. However, in order to achieve sustainable catalytic decomposition of feedstock over carbon catalysts at elevated temperatures, the surface area of the carbon particles must be maintained. A subsequent treatment of deactivated carbon samples with CO2 at about 1000°C would increase the surface and would recover the original ac

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Liu, Ping, Xiaomin Ren, and Lisa X. Xu. "Alternate Cooling and Heating Thermal Physical Treatment: An Effective Strategy Against MDSCs in 4T1 Mouse Mammary Carcinoma." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80229.

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An alternate thermal physical treatment was developed to destroy tumor tissue using liquid nitrogen cooling and RF heating treatment in our pervious study. Our pervious reports had shown that anti-tumor immunity was induced by the alternate treatment. Myeloid derived suppressor cells (MDSCs) are a subset of heterogeneous, bone marrow derived hematopoietic cells that accumulate in the spleen, bone marrow, blood and tumor sites of tumor-bearing mice and cancer patients. MDSCs are one of the key suppressor cells that regulate anti-tumor immune responses in tumor-bearing hosts. MDSCs have been sho

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Qin, Zhenpeng, Jing Jiang, Gary Long, and John C. Bischof. "Irreversible Electroporation: An In Vivo Study Within the Dorsal Skin Fold Chamber." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53936.

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Electroporation has been traditionally used to enhance molecular transport into cells (e.g. gene therapy) and through tissues (e.g. skin) by creating reversible pores with short electrical pulses [1]. Increasing the parameters (electrical field, pulse duration and number) can induce irreversible damage to the cells and tissue. Recently, irreversible electroporation (IRE) has been investigated as a new tumor ablation method [2]. The advantages of the IRE include the simple and fast procedure (train of μs pulses), sharp demarcation between treated and untreated regions, destruction of tumor cell

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Zhu, Xiaofeng, Xin Yuan, Zhirong Lin, et al. "An Upwind Eulerian-Eulerian Model for Non-Equilibrium Condensation in Steam Turbines." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-95047.

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The present paper proposes an Eulerian-Eulerian two-phase model for non-equilibrium condensing flow in steam turbines. This model is especially suitable for upwind finite volume scheme. An approximate Roe type flux using real water/vapor property is constructed to calculate the upwind wet-steam flux. This flux fully couples the wetness fraction with other conservative variables in the Jacobian Matrix whose eigen-vector and eigen-value are analitically derived. A novel treatment of real wet-steam property is developed by constructing a 3-DOFs TTSE table according to IAPWS97 formulas. The table

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Lada, Akos, Alexander Peysakhovich, Diego Aparicio, and Michael Bailey. "Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems." In EC '19: ACM Conference on Economics and Computation. ACM, 2019. http://dx.doi.org/10.1145/3328526.3329558.

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Xu, Yanbo, Divyat Mahajan, Liz Manrao, Amit Sharma, and Emre Kıcıman. "Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions." In WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining. ACM, 2021. http://dx.doi.org/10.1145/3437963.3441821.

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Sibarani, Tiurma Theresa, and Murtaza Ziauddin. "Rock Heterogeneity Effects on Fluid Diversion During Stimulation Treatment." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206095-ms.

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Abstract Rock heterogeneities, such as variations in pore distribution, pore throat diameter, and initial permeability, significantly affect the outcome of carbonate matrix stimulation treatments. A better understanding of the influence of these parameters on stimulation and diversion, especially for the performance of self-diverting acids, is needed for efficient stimulation designs. Carbonate rock samples from six outcrop formations, with permeability ranging from 2 to 150 md, were used in the study. Large blocks were acquired for each outcrop, and several 1.5×6-in. core plugs were drilled f

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Reports on the topic "Heterogeneous treatment effect"

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Kitagawa, Toru. A bootstrap test for instrument validity in heterogeneous treatment effect models. Institute for Fiscal Studies, 2013. http://dx.doi.org/10.1920/wp.cem.2013.5313.

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Torres Franco, Nicolás Arturo, Eleonora Dávalos, and Leonardo Fabio Morales. Heterogeneous effects of agricultural technical assistance in Colombia. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/be.1164.

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Small family farms account for 72 percent of the farms in the world. Most of these farms, in developing countries, face labor productivity gaps. One of the strategies to increase agricultural productivity focuses on implementing technical assistance programs. Using agriculture microdata, we estimate the marginal treatment effect of receiving technical assistance services. We find that technical assistance generates heterogeneous effects. On average, agricultural units receiving technical assistance increased their agricultural production by 50.4 percent. However, there is important heterogenei

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Norton, Edward, Emily Lawton, and Jun Li. Moneyball in Medicare: Heterogeneous Treatment Effects. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w27948.

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de Chaisemartin, Clément, and Xavier D'Haultfoeuille. Two-way Fixed Effects Estimators with Heterogeneous Treatment Effects. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w25904.

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Florens, Jean-Pierre, James Heckman, Costas Meghir, and Edward Vytlacil. Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14002.

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Hastings, Justine, Thomas Kane, and Douglas Staiger. Preferences and Heterogeneous Treatment Effects in a Public School Choice Lottery. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12145.

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Ham, John, I. Serkan Ozbeklik, and Lara Shore-Sheppard. Estimating Heterogeneous Treatment Effects of Medicaid Expansions on Take-up and Crowd-out. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16112.

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Chernozhukov, Victor, Mert Demirer, Esther Duflo, and Iván Fernández-Val. Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24678.

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Heterogeneous coefficients, control variables, and identification of treatment effects. Cemmap, 2020. http://dx.doi.org/10.47004/10.47004/wp.cem.2020.4520.

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Heterogeneous coefficients, control variables, and identification of treatment effects. Cemmap, 2020. http://dx.doi.org/10.47004/wp.cem.2020.4520.

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