Relevant bibliographies by topics / Randomization response

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Randomization response'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Randomization response"

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Liu, Zhongqiang, Feifang Hu, and Li-Xin Zhang. "Nonparametric response-adaptive randomization for continuous responses." Pharmaceutical Statistics 17, no. 6 (2018): 781–96. http://dx.doi.org/10.1002/pst.1900.

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Cellamare, Matteo, Steffen Ventz, Elisabeth Baudin, Carole D. Mitnick, and Lorenzo Trippa. "A Bayesian response-adaptive trial in tuberculosis: The endTB trial." Clinical Trials 14, no. 1 (2016): 17–28. http://dx.doi.org/10.1177/1740774516665090.

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Purpose: To evaluate the use of Bayesian adaptive randomization for clinical trials of new treatments for multidrug-resistant tuberculosis. Methods: We built a response-adaptive randomization procedure, adapting on two preliminary outcomes for tuberculosis patients in a trial with five experimental regimens and a control arm. The primary study outcome is treatment success after 73 weeks from randomization; preliminary responses are culture conversion at 8 weeks and treatment success at 39 weeks. We compared the adaptive randomization design with balanced randomization using hypothetical scenar
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Hu, Feifang, William F. Rosenberger, and Li-Xin Zhang. "Asymptotically best response-adaptive randomization procedures." Journal of Statistical Planning and Inference 136, no. 6 (2006): 1911–22. http://dx.doi.org/10.1016/j.jspi.2005.08.011.

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Trueman, John W. H. "RANDOMIZATION CONFOUNDED: A RESPONSE TO CARPENTER." Cladistics 9, no. 1 (1993): 101–9. http://dx.doi.org/10.1111/j.1096-0031.1993.tb00211.x.

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Berger, Vance W. "A note on response-adaptive randomization." Contemporary Clinical Trials 40 (January 2015): 240. http://dx.doi.org/10.1016/j.cct.2014.12.013.

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Saville, Benjamin R., and Scott M. Berry. "Balanced covariates with response adaptive randomization." Pharmaceutical Statistics 16, no. 3 (2017): 210–17. http://dx.doi.org/10.1002/pst.1803.

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Viele, Kert, Kristine Broglio, Anna McGlothlin, and Benjamin R. Saville. "Comparison of methods for control allocation in multiple arm studies using response adaptive randomization." Clinical Trials 17, no. 1 (2019): 52–60. http://dx.doi.org/10.1177/1740774519877836.

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Background/Aims: Response adaptive randomization has many polarizing properties in two-arm settings comparing control to a single treatment. The generalization of these features to the multiple arm setting has been less explored, and existing comparisons in the literature reach disparate conclusions. We investigate several generalizations of two-arm response adaptive randomization methods relating to control allocation in multiple arm trials, exploring how critiques of response adaptive randomization generalize to the multiple arm setting. Methods: We perform a simulation study to investigate
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Hung, Chou P., Benjamin M. Ramsden, and Anna Wang Roe. "Weakly Modulated Spike Trains: Significance, Precision, and Correction for Sample Size." Journal of Neurophysiology 87, no. 5 (2002): 2542–54. http://dx.doi.org/10.1152/jn.00420.2001.

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Many single-unit electrophysiological studies of visual cortex have investigated strong evoked responses to simple stimuli such as oriented gratings. Experiments involving other types of stimuli, such as natural scenes, higher-order features, and surface brightness, produce single-unit responses that are more difficult to interpret. Experiments with brightness, in particular, evoke single-unit responses that are typically weakly modulated. When the brightness is generated by a visual illusion such as the Cornsweet illusion, statistical tests are often necessary to distinguish true responses fr
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Biswas, Atanu, Rahul Bhattacharya, and Soumyadeep Das. "A multi-treatment response adaptive design for ordinal categorical responses." Statistical Methods in Medical Research 29, no. 3 (2019): 827–36. http://dx.doi.org/10.1177/0962280219846152.

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A multi-treatment response adaptive procedure is developed considering “comparison with the best” philosophy of multiple comparison procedures for clinical trials with ordinal categorical responses, when there is no shared control. For each response category, we arbitrarily create two outcome groups; one by combining the categories more favorable to it and the other by merging the categories at most as favorable to it and hence define the odds (i.e. cumulative odds). Pairwise ratios of such odds (i.e. cumulative odds ratios) based on pairs of treatments are combined conveniently to derive a me
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Proper, Jennifer, John Connett, and Thomas Murray. "Alternative models and randomization techniques for Bayesian response-adaptive randomization with binary outcomes." Clinical Trials 18, no. 4 (2021): 417–26. http://dx.doi.org/10.1177/17407745211010139.

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Background: Bayesian response-adaptive designs, which data adaptively alter the allocation ratio in favor of the better performing treatment, are often criticized for engendering a non-trivial probability of a subject imbalance in favor of the inferior treatment, inflating type I error rate, and increasing sample size requirements. The implementation of these designs using the Thompson sampling methods has generally assumed a simple beta-binomial probability model in the literature; however, the effect of these choices on the resulting design operating characteristics relative to other reasona
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Dissertations / Theses on the topic "Randomization response"

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Wang, Hui. "Response Adaptive Randomization using Surrogate and Primary Endpoints." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4517.

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In recent years, adaptive designs in clinical trials have been attractive due to their efficiency and flexibility. Response adaptive randomization procedures in phase II or III clinical trials are proposed to appeal ethical concerns by skewing the probability of patient assignments based on the responses obtained thus far, so that more patients will be assigned to a superior treatment group. General response-adaptive randomizations usually assume that the primary endpoint can be obtained quickly after the treatment. However, in real clinical trials, the primary outcome is delayed, making it un
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Davison, Jennifer J. "Response surface designs and analysis for bi-randomization error structures." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-10042006-143852/.

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Parker, Peter A. "Response Surface Design and Analysis in the Presence of Restricted Randomization." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/26555.

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Practical restrictions on randomization are commonplace in industrial experiments due to the presence of hard-to-change or costly-to-change factors. Employing a split-plot design structure minimizes the number of required experimental settings for the hard-to-change factors. In this research, we propose classes of equivalent estimation second-order response surface split-plot designs for which the ordinary least squares estimates of the model are equivalent to the generalized least squares estimates. Designs that possess the equivalence property enjoy the advantages of best linear unbiased
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Wang, Li. "Recommendations for Design Parameters for Central Composite Designs with Restricted Randomization." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28794.

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In response surface methodology, the central composite design is the most popular choice for fitting a second order model. The choice of the distance for the axial runs, alpha, in a central composite design is very crucial to the performance of the design. In the literature, there are plenty of discussions and recommendations for the choice of alpha, among which a rotatable alpha and an orthogonal blocking alpha receive the greatest attention. Box and Hunter (1957) discuss and calculate the values for alpha that achieve rotatability, which is a way to stabilize prediction variance of the desig
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Buchanan, Max. "Counter-conditioning habitual rumination with a concrete-thinking exercise." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/29155.

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Objective: Anxiety and depression have been conceptualised as being associated with “an abundance of habit and a dearth of control” (Hertel, 2015, p. 1). There has been a recent and burgeoning interest toward understanding the role of habits in health psychology and in the psychological disorders of obsessive-compulsive disorder and addiction in particular. To the author’s knowledge, there has been no previous systematic review that aimed to summarise the research investigating the involvement of mental habits in anxiety and depression in clinical and non-clinical populations. Method: The term
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Chien-YiChen and 陳建億. "Response-adaptive randomization for multi-armed survival trials." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/j3g5d8.

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碩士<br>國立成功大學<br>統計學系<br>106<br>In clinical trials, response-adaptive randomization becomes popular recently. Because it can change the allocation probabilities sequentially, with the main goal of assigning more patients to the better treatment. However, most relevant references focus on two-armed clinical trials especially that response outcome is survival. In this paper, we derived two optimal allocation proportions for multi-armed survival trials. And the doubly adaptive biased coin design is applied to develop a randomization procedure. In order to compare the efficacy of treatments, we use
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Wesley, Wayne R. Simpson James R. "Design and analysis of response surface designs with restricted randomization." 2006. http://etd.lib.fsu.edu/theses/available/etd-07102006-153047.

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Thesis (Ph. D.)-- Florida State University, 2006.<br>Advisor: James R. Simpson, Florida State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering. Title and description from dissertation home page (viewed Jan. 2, 2007). Document formatted into pages; contains xii, 195 pages. Includes bibliographical references.
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TU, JUI-CHUAN, and 涂瑞銓. "Adaptive Randomization for Multiarm Survival Clinical Trials Using Short-Term Response Information." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/bncgwj.

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碩士<br>東海大學<br>統計學系<br>107<br>We usually don’t want to waste substantial amount of time and resources in phase two clinical trials, therefore we need effective methods of randomization, so that we can chose a potential treatment on survival, and confirm its benefit in phase three trial quickly. Traditionally, using survival time as a primary endpoint, takes a long period of time to assign patients to different groups ineffectively during the adaptive-randomization trails. However, using short-term efficacy (e.g. tumor response rate) as a primary endpoint, may show that patients have good effica
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CELLAMARE, MATTEO. "Bayesian adaptive designs in multi-arm multi-stage clinical trials." Doctoral thesis, 2016. http://hdl.handle.net/11573/926665.

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Clinical trial seek to investigate novel treatments, asses the relative benefits of competing therapies, and establish optimal treatment combinations. Statistical models provide an explicit way to models patients response to a treatment, and make inference about the clinical utility of therapies which guides clinical decision making. Statistical designs for clinical trials are a formal procedure the aim to maximize the the quality of generated information on the performance of experimental treatment. We explore a particular class of clinical trial design called adaptive design, which allows m
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Carrillo, Garcia Ivan Adolfo. "Analysis of Longitudinal Surveys with Missing Responses." Thesis, 2008. http://hdl.handle.net/10012/3971.

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Longitudinal surveys have emerged in recent years as an important data collection tool for population studies where the primary interest is to examine population changes over time at the individual level. The National Longitudinal Survey of Children and Youth (NLSCY), a large scale survey with a complex sampling design and conducted by Statistics Canada, follows a large group of children and youth over time and collects measurement on various indicators related to their educational, behavioral and psychological development. One of the major objectives of the study is to explore how such deve
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Books on the topic "Randomization response"

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Hu, Feifang, and William F. Rosenberger. The Theory of Response-Adaptive Randomization in Clinical Trials. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/047005588x.

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F, Rosenberger William, ed. The theory of response-adaptive randomization in clinical trials. John Wiley & Sons, 2006.

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Rosenberger, William F., and Feifang Hu. Theory of Response-Adaptive Randomization in Clinical Trials. Wiley & Sons, Incorporated, John, 2006.

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Rosenberger, William F., and Feifang Hu. Theory of Response-Adaptive Randomization in Clinical Trials. Wiley & Sons, Incorporated, John, 2006.

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Theory of Response-Adaptive Randomization in Clinical Trials. Wiley & Sons Canada, Limited, John, 2006.

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Rosenberger, William F., and Feifang Hu. The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley Series in Probability and Statistics). Wiley-Interscience, 2006.

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Book chapters on the topic "Randomization response"

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Eyal, Nir, and Marc Lipsitch. "4.1 In Practice: Vaccine Efficacy and Safety Testing—An Ethical Case for Individual Randomization." In Principles and Practice of Emergency Research Response. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48408-7_5.

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AbstractA scientific trial has individually randomized control when the intervention or control status for each participant is independently chosen at random at the start of the trial. That is in contrast to cluster randomization, where this status is determined for groups of participants, and in contrast to trials without randomization and to non-trial methods of assessing experimental interventions. The individually randomized controlled trial is generally the most effective and thus the most ethical trial design for assessing the safety and efficacy of candidate vaccines against infectious
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Zhang, Lanju, and William F. Rosenberger. "Response-Adaptive Randomization for Clinical Trials." In Practical Considerations for Adaptive Trial Design and Implementation. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1100-4_10.

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Zhu, Jian, Ina Jazić, and Yi Liu. "A Novel Framework for Bayesian Response-Adaptive Randomization." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-67386-8_11.

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Pin, Lukas, Sofia S. Villar, and William F. Rosenberger. "Response-Adaptive Randomization Designs Based on Optimal Allocation Proportions." In Biostatistics in Biopharmaceutical Research and Development. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-65948-5_12.

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AbstractThis book chapter discusses response-adaptive randomization procedures which are based on optimal allocation proportions, e.g. derived from theoretical optimization problems. We elucidate the objectives of these proportions, emphasizing their role in maximizing statistical power and/or enhancing patient benefit. Moreover, practical insights on estimation and targeting of these allocation proportions are provided. A clinical trial example, the CALISTO trial, illustrates the application of these procedures. We aim to provide an overview that serves as a basis for discussions about optima
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Proschan, Michael A., and David L. DeMets. "23.1 In Practice: Monitoring the PALM Ebola Therapeutics Study in the Democratic Republic of the Congo." In Principles and Practice of Emergency Research Response. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48408-7_35.

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AbstractThis chapter outlines the demanding, complex task of monitoring an expedited clinical trial in a resource-limited, insecure setting. The PALM Ebola therapeutics trial was implemented in the Democratic Republic of the Congo (DRC) despite minimal basic infrastructure, widespread suspicion and hostility among the population, and outbreaks of violence in the region. In order to keep participant enrollment numbers manageable, the PALM trial was designed to detect a large treatment effect, and its primary endpoint was mortality within 28 days after randomization. The course of an Ebola epide
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Kahn, Rebecca, Sofia S. Villar, Natalie E. Dean, and Marc Lipsitch. "22 Vaccine Trial Designs." In Principles and Practice of Emergency Research Response. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48408-7_32.

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AbstractVaccine efficacy trials conducted during epidemics of emerging infectious diseases have three main objectives: (1) to test the null hypothesis in a rigorous fashion, (2) to estimate the efficacy of the vaccine candidate, and (3) to maximize the trial’s public health impact. All of these objectives create urgency for planning and implementing vaccine trials. Ideally, a preferred design choice, based on the anticipated aims of a trial, should be chosen as early as possible. Here we discuss five key choices that must be made in trial design: (1) randomization unit, (2) comparator interven
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Dai, Tianjiao, and Sanjay Shete. "A Bayesian Response-Adaptive, Covariate-Balanced and Q-Learning-Decision-Consistent Randomization Method for SMART Designs." In Springer Proceedings in Mathematics & Statistics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7932-2_13.

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Navarro, Danielle, and David Foxcroft. "2. A brief introduction to research design." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.02.

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This chapter introduces the foundational principles of research design, emphasizing the interplay between data collection and analysis. It provides an overview of the key concepts in operationalizing theoretical constructs into measurable variables and highlights the different scales of measurement—nominal, ordinal, interval, and ratio—along with the distinctions between continuous and discrete variables. The chapter also delves into assessing the reliability and validity of measurements, defining their roles in ensuring consistent and accurate data collection. Additionally, it explores the ro
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"Response-Adaptive Randomization." In Randomization in Clinical Trials. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471722103.ch10.

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"Response-Adaptive Randomization." In Randomization in Clinical Trials. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118742112.ch10.

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Conference papers on the topic "Randomization response"

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Peirelinck, Thijs, Chris Hermans, Fred Spiessens, and Geert Deconinck. "Domain Randomization for Demand Response of an Electric Water Heater." In 2021 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2021. http://dx.doi.org/10.1109/pesgm46819.2021.9638203.

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Longo, Cristina, Erick Forno, Andreas Boeck, et al. "Late Breaking Abstract - An international Mendelian Randomization study of BMI and ICS response in children." In ERS International Congress 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/13993003.congress-2021.oa4221.

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da Silva, L. C. M. "Gaussian process emulation for rapid in-plane mechanical homogenization of periodic masonry." In AIMETA 2022. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902431-53.

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Abstract. Numerical homogenization strategies can provide average mechanical responses, either in stress or coupled-stress quantities, which include many phenomenological features. Nonetheless, a direct application of numerical homogenization in sensitivity analysis in which uncertainty is propagated becomes impractical, as hundreds or thousands of simulations are conventionally required. In this study, a reliable and rapid predictive surrogate model is developed aiming to characterize the homogenized response of masonry. The case of English-bond arrangement is addressed, and the following ste
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Hallal, Mohamad M., and Brady R. Cox. "A Systematic Analysis of Travel Time Randomization Used to Account for V s Uncertainty in 1D Ground Response Analyses." In Geo-Congress 2022. American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484043.056.

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Simos, Nicholas, Paruyr Zadoyan, Pierre Labbe, Pierre Sollogoub, and J. Pierre Touret. "Assessment of Spatial Property Variability of the Subsurface in SSI Studies of the Armenian Nuclear Power Plant." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49440.

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This paper addresses issues surrounding soil property variability including uncertainties associated with “best estimate” values and searches for practical ways to assess the impact on the seismic response of a facility, such as a nuclear power plant, resting on it. Specifically, it attempts, using a parametric study, to formulate a probabilistic model that enables the enveloping of uncertainties associated with the soil-structure-interaction component of the seismic problem. The effects of most-likely sources of uncertainty, such as variability of “distinct” soil layer profile and variability
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Trumars, Jenny, and Sveinung Lo̸set. "Factorial Design of Experiments and Interpretation of Results: An Application to Ice Loads on a Conical Structure." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79316.

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The data for this study is taken from a publication by D. S. Sodhi et al. [1]. The experimental setup in their publication was made in a way which, after some manipulation, allowed it to be treated as a full two-level factorial design with four factors. The effects of the factors; sheet ice thickness, flexural strength, ice-structure friction and relative ice structure velocity are studied. For the mean horizontal response force the conclusion is that there are clear effects for the changes in friction, ice thickness and the interaction of these two factors, the other effects are not readily d
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SINGH, NAND KISHORE, KAZI ZAHIR UDDIN, RATNESHWAR JHA, and BEHRAD KOOHBOR. "ANALYZING MICRO-MACRO TRANSITIONAL LENGTH SCALE IN UNIDIRECTIONAL COMPOSITES." In Thirty-sixth Technical Conference. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/asc36/35927.

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Understanding the hierarchy in the mechanical behavior of heterogeneous materials requires a systematic characterization of the material response at different length scales, as well as the nature and characteristics of the transitional scales. Characterization of such transitional length scales has been carried out in the past by analytical models that calculate and compare stiffness values at micro and macro scales. The convergence of the material stiffness at the two scales has been used as the criterion for quantification of the so-called transitional length scales. These stiffness calculat
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Wycoff, Andrea, Hayley Treloar Padovano, and Robert Miranda, Jr. "Cannabis craving in response to alcohol cues in the laboratory and in daily life." In 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.30.

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Background: Cannabis use is prevalent among adolescents and young adults who drink alcohol. Compared to individuals who only drink alcohol, those who (co-)use both alcohol and cannabis are at greater risk of experiencing substance-related problems. One factor that could maintain patterns of co-use is the potential for one substance to elicit craving for another. This idea has been studied extensively in the alcohol and tobacco co-use literature but has yet to be applied to alcohol and cannabis co-use. Thus, the present study examined whether alcohol cues elicit cannabis craving in the lab and
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Murthy, Raghavendra, Marc P. Mignolet, and Aly El-Shafei. "Nonparametric Stochastic Modeling of Uncertainty in Rotordynamics." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-59700.

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A systematic and rational approach is presented for the consideration of uncertainty in rotordynamics systems, i.e. in rotor mass and gyroscopic matrices, stiffness matrix, and bearing coefficients. The approach is based on the nonparametric stochastic modeling technique which permits the consideration of both data and modeling uncertainty. The former is induced by a lack of exact knowledge of properties such as density, Young’s modulus, etc. The latter occurs in the generation of the computational model from the physical structure as some of its features are invariably ignored, e.g. small ani
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