Handbook Of Statistical Methods For Randomized Controlled Trials
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Handbook Of Statistical Methods For Randomized Controlled Trials
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Author : KyungMann Kim
language : en
Publisher: CRC Press
Release Date : 2021-08-23
Handbook Of Statistical Methods For Randomized Controlled Trials written by KyungMann Kim and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-23 with Mathematics categories.
Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes.
Introduction To Randomized Controlled Clinical Trials
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Author : John N.S. Matthews
language : en
Publisher: CRC Press
Release Date : 2006-06-26
Introduction To Randomized Controlled Clinical Trials written by John N.S. Matthews and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-26 with Mathematics categories.
Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis. This second edition of Introduction to Randomized Controlled Clinical Trials prov
Handbook Of Statistical Methods For Precision Medicine
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Author : Eric Laber
language : en
Publisher: CRC Press
Release Date : 2024-10-23
Handbook Of Statistical Methods For Precision Medicine written by Eric Laber and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Mathematics categories.
The statistical study and development of analytic methodology for individualization of treatments is no longer in its infancy. Many methods of study design, estimation, and inference exist, and the tools available to the analyst are ever growing. This handbook introduces the foundations of modern statistical approaches to precision medicine, bridging key ideas to active lines of current research in precision medicine. The contributions in this handbook vary in their level of assumed statistical knowledge; all contributions are accessible to a wide readership of statisticians and computer scientists including graduate students and new researchers in the area. Many contributions, particularly those that are more comprehensive reviews, are suitable for epidemiologists and clinical researchers with some statistical training. The handbook is split into three sections: Study Design for Precision Medicine, Estimation of Optimal Treatment Strategies, and Precision Medicine in High Dimensions. The first focuses on designed experiments, in many instances, building and extending on the notion of sequential multiple assignment randomized trials. Dose finding and simulation-based designs using agent-based modelling are also featured. The second section contains both introductory contributions and more advanced methods, suitable for estimating optimal adaptive treatment strategies from a variety of data sources including non-experimental (observational) studies. The final section turns to estimation in the many-covariate setting, providing approaches suitable to the challenges posed by electronic health records, wearable devices, or any other settings where the number of possible variables (whether confounders, tailoring variables, or other) is high. Together, these three sections bring together some of the foremost leaders in the field of precision medicine, offering new insights and ideas as this field moves towards its third decade.
Handbook Of Bayesian Variable Selection
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Author : Mahlet G. Tadesse
language : en
Publisher: CRC Press
Release Date : 2021-12-24
Handbook Of Bayesian Variable Selection written by Mahlet G. Tadesse and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-24 with Mathematics categories.
Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions. Features: Provides a comprehensive review of methods and applications of Bayesian variable selection. Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection. Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field. Supported by a website with code, data, and other supplementary material
Fundamentals Of Clinical Trials
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Author : Lawrence M. Friedman
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Fundamentals Of Clinical Trials written by Lawrence M. Friedman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Medical categories.
This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors.
Essential Statistical Methods For Medical Statistics
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Author : J. Philip Miller
language : en
Publisher: Elsevier
Release Date : 2010-11-08
Essential Statistical Methods For Medical Statistics written by J. Philip Miller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-08 with Mathematics categories.
Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. - Contributors are internationally renowned experts in their respective areas - Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research - Methods for assessing Biomarkers, analysis of competing risks - Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs - Structural equations modelling and longitudinal data analysis
Cochrane Handbook For Systematic Reviews Of Interventions
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Author : Julian P. T. Higgins
language : en
Publisher: Wiley
Release Date : 2008-11-24
Cochrane Handbook For Systematic Reviews Of Interventions written by Julian P. T. Higgins and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-24 with Medical categories.
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
The Oxford Handbook Of Research Strategies For Clinical Psychology
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Author : Jonathan S. Comer
language : en
Publisher: Oxford University Press
Release Date : 2013-03-26
The Oxford Handbook Of Research Strategies For Clinical Psychology written by Jonathan S. Comer and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-26 with Psychology categories.
Mental health problems impose a staggering worldwide public health burden. Regrettably, whereas many sciences have been progressing for centuries (e.g., biology, chemistry) it is only recently that the strategies of science have been applied to the field of clinical psychology. At this relatively early stage in the science of clinical psychology, the majority of work is ahead of us, and as such the prepared investigator must be familiar with the full portfolio of modern research strategies-a set of 'directions' for getting from 'here' to 'there.' To continue to move the science of clinical psychology forward, investigators benefit when they systematically rely on research strategy "routes" that achieve favorable balances between scientific rigor and clinical relevance. With this need in mind, The Oxford Handbook of Research Strategies for Clinical Psychology has recruited some of the field's foremost experts to explicate the essential research strategies currently used across the modern clinical psychology landscape that maximize both precision and significance. Chapters in this volume address design, measurement, and analytic strategies for clinical psychology, including comprehensive coverage of: - effective laboratory methods in experimental psychopathology, single-case experimental designs, small pilot trials, the randomized controlled trial, adaptive and modular treatment designs, and dissemination methods and models - change measurement, observational coding, measurement of process variables across treatment, structural and functional brain imagining, and experience sampling data collection methods - statistical power, correlation and regression, randomized clinical trial data analysis, conventions in mediation and moderation analysis, structural equation modeling, meta-analytic techniques, item-response theory, and the appropriate handling of missing data. The book concludes with an integrative summary of research strategies addressed across the volume, and guidelines for future directions in research methodology, design, and analysis that will keep our young science moving forward in a manner that maximizes scientific rigor and clinical relevance.
Handbook Of Measurement Error Models
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Author : Grace Y. Yi
language : en
Publisher: CRC Press
Release Date : 2021-10-17
Handbook Of Measurement Error Models written by Grace Y. Yi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-17 with Mathematics categories.
Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research
Handbook Of Generalized Pairwise Comparisons
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Author : Marc Buyse
language : en
Publisher: CRC Press
Release Date : 2025-03-31
Handbook Of Generalized Pairwise Comparisons written by Marc Buyse and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Mathematics categories.
In today's healthcare landscape, there is a pressing need for quantitative methodologies that include the patients' perspective in any treatment decision. Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis provides a comprehensive overview of an innovative and powerful statistical methodology that generalizes the traditional Wilcoxon-Mann-Whitney test by extending it to any number of outcomes of any type and including thresholds of clinical relevance into a single, multidimensional evaluation. The book covers the statistical foundations of generalized pairwise comparisons (GPC), applications in various disease areas, implications for regulatory approvals and benefit-risk analyses, and considerations for patient-centricity in clinical research. With contributions from leading experts in the field, this book stands as an essential resource for a more holistic and patient-centric assessment of treatment effects.