Bibliografias temáticas / Type-II regression methods

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Literatura científica selecionada sobre o tema "Type-II regression methods"

Autor: Grafiati

Publicado: 7 de junho de 2025

Última modificação: 2 de agosto de 2025

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Artigos de revistas sobre o assunto "Type-II regression methods"

Gattoc, Leda Portia A., Hyo K. Park, Laura Carney, et al. "Comparing surgical staging methods for type II endometrial cancers." Journal of Clinical Oncology 35, no. 15_suppl (2017): e17107-e17107. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e17107.

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e17107 Background: Type II endometrial cancers account for 10% of endoemetrial cancers, but their aggresive nature account for a significant proportion of the morbidity and mortality. The goal of this study was to compare outcomes type II endometrial cancer patients who underwent staging via laparotomy vs. minimally invasive approach (MIS). Methods: All patients who underwent surgery for Type II endometrial cancer at two cancer centers in Detroit MI from January 2005 and December 2015 were reviewed. Endometrioid histology and those who never had surgery were excluded. Clinical, demographic cha

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Al omari, Mohammed Ahmed. "Bayesian using Importance Sampling Technique of Weibull Regression with Type II Censored Data." European Journal of Mathematics and Statistics 2, no. 3 (2021): 10–18. http://dx.doi.org/10.24018/ejmath.2021.2.3.19.

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Keeping in view the Bayesian approach, the study aims to develop methods through the utilization of Jeffreys prior and modified Jeffreys prior to the covariate obtained by using the Importance sampling technique. For maximum likelihood estimator, covariate parameters, and the shape parameter of Weibull regression distribution with the censored data of Type II will be estimated by the study. It is shown that the obtained estimators in closed forms are not available, but through the usage of appropriate numerical methods, they can be solved. The mean square error is the criterion of comparison.

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Erilli, Necati Alp. "Uç Değerli Verilerde Tip-II Regresyon Yöntemlerinin Performansları." Turkish Journal of Statistics and Data Science 01, no. 1 (2025): 1–13. https://doi.org/10.5281/zenodo.15364611.

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Maroco, João. "Consistency and Efficiency of Ordinary Least Squares, Maximum Likelihood, and Three Type II Linear Regression Models." Methodology 3, no. 2 (2007): 81–88. http://dx.doi.org/10.1027/1614-2241.3.2.81.

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Abstract. Type I linear regression models, which allow for measurement errors only in the criterion variable, are frequently used in modeling research in psychology and the social sciences. Although there are frequently measurement errors and large natural variation both in the criterion and predictor variables, type II regression methods that account for these errors are seldom used in these fields of study. The consistency and efficiency of three type II regression methods (reduced major axis, Kendall's robust line-fit and Bartlett's three-group) were evaluated in comparison to ordinary leas

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Han, Yixuan, Yanying Liu, Xuejun Liu, et al. "Association between cumulative serum urate and development of diabetes type II: the Kailuan Study." Clinical Rheumatology 39, no. 2 (2019): 339–46. http://dx.doi.org/10.1007/s10067-019-04790-0.

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Abstract Objective To explore whether cumulative serum urate (cumSU) is correlated with diabetes type II mellitus incidence. Methods In this study, we recruited individuals participating in all Kailuan health examinations from 2006 to 2013 without stroke, cancer, gestation, myocardial infarction, and diabetes type II diagnosis in the first three examinations. CumSU was calculated by multiplying the average serum urate concentration and the time between the two examinations (umol/L × year). CumSU levels were categorized into five groups: Q1–Q5. The effect of cumSU on diabetes type II incidence

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Trippel, Edward A., and Harold H. Harvey. "Comparison of Methods Used to Estimate Age and Length of Fishes at Sexual Maturity Using Populations of White Sucker (Catostomus commersoni)." Canadian Journal of Fisheries and Aquatic Sciences 48, no. 8 (1991): 1446–59. http://dx.doi.org/10.1139/f91-172.

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We compared six methods of estimating age and length at sexual maturity of iteroparous fishes: probit analysis, maximum likelihood methodology, linear regression on arcsine - square root transformed data, Lysack's formula, visual observation of distributions for the first occurrence of [Formula: see text] maturity, and computation of lt of the von Bertalanffy equation using age at maturity for t. To aid comparisons, we subdivided 32 white sucker (Catostomus commersoni) maturity distributions into four types: abrupt transition to maturity (type I), successive increases in proportion mature with

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Vasudevan, Senthilvel, and Amitha Prasad. "A hospital based cross sectional study on determining of prevalence and risk factors of eye disease among diabetes in a teaching tertiary care hospital in India." International Journal of Medical Sciences and Nursing Research 2, no. 1 (2021): 10–16. https://doi.org/10.55349/ijmsnr.2022211016.

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Abstract:  Background:  This study aimed to determine the prevalence of Diabetic Retinopathy and to find the associated risk factors of DR among known Type II DM patients. Materials and Methods:  A hospital-based cross-sectional and single center study was conducted among Type II DM patients with and without DR in the department of Endocrinology with a sample size of 150 with DM patients in 2018.  Data were expressed as mean, standard deviation, proportions, Chi-Square, t-test test and Binary Logistic Regression a

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Pertseva, N. O. "DAMAGE OF RENAL FUNCTION AND DYNAMICS OF DYSLIPIDEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS WITH INSUFFICIENT GLYCEMIC COMPENSATION UNDER CONDITION OF CORRECTION OF HYPERTENSION WITH ANGIOTENSIN II RECEPTOR ANTAGONISTS." Ukrainian Journal of Nephrology and Dialysis, no. 1(45) (December 12, 2014): 30–36. http://dx.doi.org/10.31450/ukrjnd.1(45).2015.06.

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Damage of renal function and dynamics of dyslipidemia in patients with type 2 diabetes mellitus with insufficient glycemic compensation under condition of correction of hypertension with angiotensin II receptor antagonists  Introduction. Need to be studied issues related to the dynamics of nephropathic and dyslipidemic disorders on the background of long-term treatment of hypertension with using angiotensin II receptor antagonists in patients with type 2 diabetes mellitus. Materials and methods. The treatment and examination of 87patients with type 2 diabetes mellitus with insuffic

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Muzaffar, Mahvish, Iman Mohamed, Colette Gaba, and Sadik Khuder. "Type of surgery for early breast cancer and predictive factors an institutional review: A regression model." Journal of Clinical Oncology 31, no. 15_suppl (2013): e12016-e12016. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.e12016.

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e12016 Background: Breast conserving surgery (BCS) is the preferred surgical management for most early-stage breast cancer, given the equivalent survival after BCS plus radiation and mastectomy (M). Clinical reports of an increasing trend in mastectomy from some institutional reviews have been published. The aim of this study was to assess correlation of type of surgery with different factors in our cancer registry database. Methods: We retrospectively reviewed the cancer registry data at UTMC for early breast cancer stage I/II from 2006-2010. Patient demographics, tumor characteristics, insti

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Ibrahim, Joseph G., Haitao Chu, and Ming-Hui Chen. "Missing Data in Clinical Studies: Issues and Methods." Journal of Clinical Oncology 30, no. 26 (2012): 3297–303. http://dx.doi.org/10.1200/jco.2011.38.7589.

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Missing data are a prevailing problem in any type of data analyses. A participant variable is considered missing if the value of the variable (outcome or covariate) for the participant is not observed. In this article, various issues in analyzing studies with missing data are discussed. Particularly, we focus on missing response and/or covariate data for studies with discrete, continuous, or time-to-event end points in which generalized linear models, models for longitudinal data such as generalized linear mixed effects models, or Cox regression models are used. We discuss various classificati

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Teses / dissertações sobre o assunto "Type-II regression methods"

Yue, Xiaohui. "Detecting Rater Centrality Effect Using Simulation Methods and Rasch Measurement Analysis." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/28423.

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This dissertation illustrates how to detect the rater centrality effect in a simulation study that approximates data collected in large scale performance assessment settings. It addresses three research questions that: (1) which of several centrality-detection indices are most sensitive to the difference between effect raters and non-effect raters; (2) how accurate (and inaccurate), in terms of Type I error rate and statistical power, each centrality-detection index is in flagging effect raters; and (3) how the features of the data collection design (i.e., the independent variables including

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Livros sobre o assunto "Type-II regression methods"

Development of regression equations to predict body density in obese non diabetics and obese Type II diabetic adults. 1994.

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Capítulos de livros sobre o assunto "Type-II regression methods"

Davino, Cristina, Marco Gherghi, and Domenico Vistocco. "A quantitative study to measure the family impact of e-learning." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.21.

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The Covid emergency has forced universities around the world to transfer teaching activities online. Even if online teaching has made it possible to carry out the planned teaching activities, it is necessary, in retrospect, to evaluate the impact that this teaching method has had on the different types of students, in terms of preparation, characteristics and social background. In this framework, the presents paper aims to evaluate if distance learning can be considered socially less useful because it increases the divide between the advantaged and disadvantaged students. The study is based on

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Wang, Gang, Jin-xing Hao, Jian Ma, and Li-hua Huang. "Empirical Evaluation of Ensemble Learning for Credit Scoring." In Machine Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch419.

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Credit scoring is an important finance activity. Both statistical techniques and Artificial Intelligence (AI) techniques have been explored for this topic. But different techniques have different advantages and disadvantages on different datasets. Recent studies draw no consistent conclusions to show that one technique is superior to the other, while they suggest combining multiple classifiers, i.e., ensemble learning, may have a better performance. In this study, we conduct an empirical evaluation of the performance of three popular ensemble methods, i.e., bagging, boosting, and stacking, bas

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Haro, Marco, Mariko Nakano-Miyatake, Jorge Cime-Castillo, Humberto Lanz-Mendoza, Mario Gonzalez-Lee, and Hector Perez-Meana. "Infected Mosquito Detection System Using Spectral Analysis." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220296.

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Considering that an accurate detection of infected mosquitos may directly avoid the propagation of mosquito-borne disease; in this paper, we propose a detection system of infected mosquitos by Dengue virus type II, that uses seven spectral feature measures, which are applied to the spectrogram estimated from wingbeat signal emitted by mosquito’s flight. To evaluate the proposed system, we construct our own dataset with 20 infected Aedes aegypti by Dengue and 20 healthy ones. Seven spectral analysis methods, such as Spectral Rolloff, Spectral Centroide, etc., are applied to the spectrogram obta

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Trabalhos de conferências sobre o assunto "Type-II regression methods"

Schmidt, Robin, Matthias Voigt, Konrad Vogeler, and Marcus Meyer. "Comparison of Two Methods for Sensitivity Analysis of Compressor Blades." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57378.

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This paper will compare two approaches of sensitivity analysis, namely (i) the adjoint method which is used to obtain an initial estimate of the geometric sensitivity of the gas-washed surfaces to aerodynamic quantities of interest and (ii) a Monte Carlo-type simulation with an efficient sampling strategy. For both approaches the geometry is parameterized using a modified NACA parameterization. First the sensitivity of those parameters is calculated using the linear (first order) adjoint model. Since the effort of the adjoint CFD solution is comparable to that of the initial flow CFD solution

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Caicedo Torres, Pedro M., Sebastián Roa Prada, Hernán D. Mantilla Hernández, and Néstor F. Saavedra Trujillo. "A Benchmark of Regression Modeling Methods to Predict Drilling Operation Parameters in Oil Wells in Colombia." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-145747.

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Abstract The rate of penetration is an important factor for the optimization of the drilling operation. Precise approximation of the rate of penetration allows for the management of consumption costs, providing better planning of future wells since the optimization of the rate of penetration allows the target depth to be reached at a lower cost, in addition to meeting operational and environmental requirements. Excessive values of rate of penetration can cause problems such as pipe clogging, poor hole cleaning, and bit tooth wear, which counteract the benefits of fast drilling, therefore achie

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João, Rafael Batista, Mateus Henrique Nogueira, Lucas Scárdua Silva, et al. "Evaluation of suicidal ideation in adult people with epilepsy and caregivers in a tertiary center." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.472.

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Background: Epilepsy is a risk factor for suicidal ideation (SI). SI still poorly investigated in caregivers of people with epilepsy (PWE). Aim: We aimed to analyze the prevalence and predictors of SI in adults PWE and caregivers. Methods: We analyzed 548 consecutive PWE (60% women; median age 41 [18-83]) and 191 caregivers (72% women; median age 47 [18-82]) followed at Outpatients’ epilepsy clinics from a tertiary center. We used “item nine” (item scores ≥1) of the BDI-II to determine the SI presence. The presence of symptoms of anxiety (with BAI) and depression (with BDI-II) was defined with

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Frederice, Ridania de Oliveira, Alan Andresson Lima Pereira, Felipe Eduardo Martins de Andrade, Samir Abdallah Hanna, Heloisa de Andrade Carvalho, and Gustavo Nader Marta. "DETERMINANTS OF SURVIVAL ON BRAZILIAN PATIENTS WITH BREAST CANCER IN PUBLIC AND PRIVATE PRACTICE." In Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2021.

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Objective: The Brazilian health system can be divided into public and private sectors. In the public sector, insurance is provided by the state to all Brazilian citizens (municipal, state, and federal levels). The private sector is comprised of the private health insurance area, with various schemes of health plans or with out-of-pocket expenses. This study proposed to evaluate the breast cancer population characteristics and treatments according to public and private health care systems. Methods: This retrospective cohort study included patients diagnosed with invasive breast cancer, with hea

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Quinci, Gianluca, and Fabrizio Paolacci. "A Novel Machine Learning Based Framework for the Seismic Risk Assessment of Industrial Plant." In ASME 2023 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/pvp2023-106452.

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Abstract In last decades, Machine learning techniques (ML) have been extensively studied as a possible reliable family of regression methods. Recently ML, which originated in the field of computer science, has been widely investigated as an alternative and helpful method for solving engineering problems. The main feature of ML techniques is learning from a dataset, containing a certain amount of input/output fidelity data, in order to predict future output data related to a new set of input data in cost-effective computation time. With these premises, the application of this type of techniques

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- Gabriela Ene, Alexandra, Carmen Mihai, Mihaela Jomir, and Constantin Jomir. "Data Analysis for the Projection of Flexible Composite Materials to Naval Transport Scenarios." In 9th International Conference on Human Interaction and Emerging Technologies - Artificial Intelligence and Future Applications. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002940.

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Accidental spills of oil or other types of hydrocarbons represent a problem of utmost importance, but, in the situation where a multi-criteria approach to the phenomenon is desired, it is necessary a quickly intervention for mitigate the effects of their spread, and for isolation, collection, transportation and storeage for reprocessing. In case of oil recovering, trapped oil can be pumped out to holding tanks (shuttles) for transporting to shore. The functional characteristics required for naval transport are represented by the: operational in strong sea currents oil spill recovery (min. 4bf)

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Nurvitasari, Rahsunji Intan, Didik Gunawan Tamtomo, and Yulia Lanti Retno Dewi. "Biopsychosocial and Economic Factors Affecting the Quality of Life in Patients with Type II Diabetes Mellitus." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.65.

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Background: Type 2 diabetes mellitus (DM) is a chronic metabolic disease that has a major impact on the quality of life (QoL). The type 2 DM patients to know their capacity to manage the disease and maintain their health and well-being. This study aims to determine biological, psychological, social and economic factors on the quality of life in type 2 DM patients. Subjects and Method: A cross-sectional study was conducted in Surakarta, Central Java. A sample of 100 type 2 DM patients was selected by purposive random sampling. The dependent variable was quality of life. The independent variable

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S. Pahl, Eric, W. Nick Street, Hans J. Johnson, and Alan I. Reed. "A Predictive Model for Kidney Transplant Graft Survival using Machine Learning." In 4th International Conference on Computer Science and Information Technology (COMIT 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101609.

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Kidney transplantation is the best treatment for end-stage renal failure patients. The predominant method used for kidney quality assessment is the Cox regression-based, kidney donor risk index. A machine learning method may provide improved prediction of transplant outcomes and help decision-making. A popular tree-based machine learning method, random forest, was trained and evaluated with the same data originally used to develop the risk index (70,242 observations from 1995-2005). The random forest successfully predicted an additional 2,148 transplants than the risk index with equal type II

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Yuliana, Nur Aida, Pawito Pawito, and Bhisma Murti. "Personal and Social Factors Affecting the Preventive Behavior among Patients with Type II Diabetes Mellitus in Ponorogo, East Java, Indonesia." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.02.57.

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Background: Self-management of diabetes mellitus (DM)) is critical in preventing long-term complications. It includes proper medication use, diet, physical activity, blood glucose monitoring, foot care, and periodic health checkups. The purpose of this study was to examine personal and social factors affecting the preventive behavior among patients with type II DM. Subjects and Method: A cross-sectional study was carried out at Regional Hospital in Ponorogo, East Java, Indonesia, from January to February 2020. A sample of 200 patients with type 2 DM was selected randomly. The dependent variabl

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Afriyanti, Neta, Eti Poncorini Pamungkasari, and Hanung Prasetya. "The Effect of Hormonal Contraceptive Use on the Risk of Depression in Women of Reproductive Age: Evidence from Gunungkidul, Yogyakarta." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.121.

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ABSTRACT Background: Estrogen and progesterone hormones have been hypothesized to play a role in the cause of depressive symptoms in female. Clinical studies have indicated that changes in estrogen levels may trigger depressive episodes among women at risk for depression. A previous study found that use of combined oral contraceptives among women who previously had experienced emotional adverse effects resulted in mood deterioration and changes in emotional brain reactivity. This study aimed to examine the effect of hormonal contraceptive use on the risk of depression in women of reproductive

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