Repeated Measurements And Cross Over Designs
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Repeated Measurements And Cross Over Designs
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Author : Damaraju Raghavarao
language : en
Publisher: John Wiley & Sons
Release Date : 2014-04-14
Repeated Measurements And Cross Over Designs written by Damaraju Raghavarao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-14 with Science categories.
An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs. Repeated Measurements and Cross-Over Designs: Features the close tie between the design, analysis, and presentation of results Presents principles and rules that apply very generally to most areas of research, such as clinical trials, agricultural investigations, industrial procedures, quality control procedures, and epidemiological studies Includes many practical examples, such as PK/PD studies in the pharmaceutical industry, k-sample and one sample repeated measurement designs for psychological studies, and residual effects of different treatments in controlling conditions such as asthma, blood pressure, and diabetes. Utilizes SAS(R) software to draw necessary inferences. All SAS output and data sets are available via the book's related website. This book is ideal for a broad audience including statisticians in pre-clinical research, researchers in psychology, sociology, politics, marketing, and engineering.
Linear And Nonlinear Models For The Analysis Of Repeated Measurements
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Author : Edward Vonesh
language : en
Publisher: CRC Press
Release Date : 1996-11-01
Linear And Nonlinear Models For The Analysis Of Repeated Measurements written by Edward Vonesh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-11-01 with Mathematics categories.
Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implement immediately the techniques.
Design And Analysis Of Cross Over Trials Second Edition
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Author : Byron Jones
language : en
Publisher: CRC Press
Release Date : 2003-03-12
Design And Analysis Of Cross Over Trials Second Edition written by Byron Jones and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-12 with Mathematics categories.
The first edition of Design and Analysis of Cross-Over Trials quickly became the standard reference on the subject and has remained so for more than 12 years. In that time, however, the use of cross-over trials has grown rapidly, particularly in the pharmaceutical arena, and researchers have made a number of advances in both the theory and methods applicable to these trials. Completely revised and updated, the long-awaited second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in the second edition include: A new chapter on bioequivalence Recently developed methods for analyzing longitudinal continuous and categorical data Real-world examples using the SAS system A comprehensive catalog of designs, datasets, and SAS programs available on a companion Web site at www.crcpress.com The authors' exposition gives a clear, unified account of the design and analysis of cross-over trials from a statistical perspective along with their methodological underpinnings. With SAS programs and a thorough treatment of design issues, Design and Analysis of Cross-Over Trials, Second Edition sets a new standard for texts in this area and undoubtedly will be of direct practical value for years to come.
Analysis Of Repeated Measures
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Author : Martin J. Crowder
language : en
Publisher: Routledge
Release Date : 2017-10-24
Analysis Of Repeated Measures written by Martin J. Crowder and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-24 with Mathematics categories.
Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple and crude methods, working through intermediate techniques commonly used by consultant statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate analysis of variance approaches, multivariate analysis of variance approaches, regression models, two-stage line models, approaches to categorical data and techniques for analysing crossover designs. The theory is illustrated with examples, using real data brought to the authors during their work as statistical consultants.
Analysis Of Crossover Designs With Nonignorable Dropout
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Author : Wang, Xi
language : en
Publisher:
Release Date : 2022
Analysis Of Crossover Designs With Nonignorable Dropout written by Wang, Xi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Crossover designs are subject to missing data issues as many other clinical trials. There has been considerable work in crossover designs under the assumption of ignorable dropout for continuous endpoints. This thesis addresses the analysis of crossover designs with nonignorable dropout to fill in the gap. We study a comprehensive family of crossover designs, including (1) non-repeated measurements crossover designs (with one measurement per period), consisting of non-replicated treatment designs and replicated treatment designs, and (2) repeated measurements crossover designs (with more than one measurement per period) separately. The primary objective is to compare the treatment mean effects. For non-repeated measurements crossover designs, we jointly model the longitudinal measurements and the discrete time to dropout, apply maximum likelihood for parameter estimation, and propose a controlled multiple imputation method as a sensitivity analysis of the untestable missing data mechanism assumption. First, for continuous endpoints, we propose shared-parameter models and mixed-effects selection models, where we adapt a linear mixed-effects model as the conditional model for the longitudinal outcomes and invoke a discrete-time hazards model for the conditional distribution of time to dropout. We perform simulation studies to investigate the robustness of our proposed approaches under various missing data mechanisms. Second, we examine crossover designs with missing data due to ignorable and nonignorable dropout in another common type of outcomes, longitudinal binary data. We evaluate available conditional and marginal models and establish the relationship between the conditional and marginal parameters. We perform extensive simulation studies to investigate these models under complete data and the mixed-effects selection models under missing data with different parametric distributions and missingness patterns and mechanisms. Generalized estimating equations and the generalized linear mixed-effects models with pseudo-likelihood estimation are advocated for valid and robust inference. We implement the proposed models and the sensitivity analysis in real data examples based on two crossover trials. Lastly, we consider an increasingly prevalent crossover design, the repeated measurements design with intensive longitudinal data, to study the dynamic nature and the evolution of some processes. We evaluate and apply well-defined linear mixed-effects models and time-varying coefficients models to tackle the critical task of modeling time dependencies and serial correlations created by repeated measurements. The proposed models provide a powerful and reliable toolbox to analyze the crossover trials with missingness.
Cross Over Trials In Clinical Research
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Author : Stephen S. Senn
language : en
Publisher: John Wiley & Sons
Release Date : 2003-07-25
Cross Over Trials In Clinical Research written by Stephen S. Senn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-25 with Mathematics categories.
Cross-over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cross-over Trials in Clinical Research, Second Edition has been fully updated to include the latest methodology used in the design and analysis of cross-over trials. It includes more background material, greater coverage of important statistical techniques, including Bayesian methods, and discussion of analysis using a number of statistical software packages. * Comprehensive coverage of the design and analysis of cross-over trials. * Each technique is carefully explained and the mathematics is kept to a minimum. * Features many real and original examples, taken from the author's vast experience. * Includes discussion of analysis using SAS, S-Plus and, GenStat, StatXact and Excel. * Written in a style suitable for statisticians and physicians alike. * Computer programs to accompany the examples in the book can be downloaded from the Web Primarily aimed at statisticians and researchers working in the pharmaceutical industry, the book will also appeal to physicians involved in clinical research and students of medical statistics.
Principles And Practice Of Clinical Trials
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Author : Steven Piantadosi
language : en
Publisher: Springer Nature
Release Date : 2022-07-19
Principles And Practice Of Clinical Trials written by Steven Piantadosi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-19 with Medical categories.
This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the design, analysis, and interpretation of scientific data from clinical trials, a broad spectrum of clinical trial application areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy emphasizes the Clinical Trials process. Because of an immense and growing international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference.
Analysis Of High Dimensional Repeated Measures Designs
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Author : Muhammad Rauf Ahmad
language : en
Publisher: Cuvillier Verlag
Release Date : 2008
Analysis Of High Dimensional Repeated Measures Designs written by Muhammad Rauf Ahmad and has been published by Cuvillier Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Repeated Measures Design For Empirical Researchers
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Author : J. P. Verma
language : en
Publisher: John Wiley & Sons
Release Date : 2015-08-21
Repeated Measures Design For Empirical Researchers written by J. P. Verma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-21 with Science categories.
Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.
Repeated Measures Design With Generalized Linear Mixed Models For Randomized Controlled Trials
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Author : Toshiro Tango
language : en
Publisher: CRC Press
Release Date : 2017-09-14
Repeated Measures Design With Generalized Linear Mixed Models For Randomized Controlled Trials written by Toshiro Tango and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-14 with Mathematics categories.
Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials. The author introduces a new repeated measures design called S:T design combined with mixed models as a practical and useful framework of parallel group RCT design because of easy handling of missing data and sample size reduction. The book emphasizes practical, rather than theoretical, aspects of statistical analyses and the interpretation of results. It includes chapters in which the author describes some old-fashioned analysis designs that have been in the literature and compares the results with those obtained from the corresponding mixed models. The book will be of interest to biostatisticians, researchers, and graduate students in the medical and health sciences who are involved in clinical trials. Author Website:Data sets and programs used in the book are available at http://www.medstat.jp/downloadrepeatedcrc.html
