free web tracker

Design And Analysis Of Clinical Trials


Author : Shein-Chung Chow
language : en
Publisher: John Wiley & Sons
Release Date : 2008-12-04


PDF Download Design And Analysis Of Clinical Trials Books For free written by Shein-Chung Chow 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 2008-12-04 with Mathematics categories.




Design And Analysis Of Clinical Trials


Author : Shein-Chung Chow
language : en
Publisher: Wiley-Interscience
Release Date : 2004


PDF Download Design And Analysis Of Clinical Trials Books For free written by Shein-Chung Chow and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.


Presentation of principles and methodologies for various clinical trials, and a well-balanced summary of current regulatory requirements. Emphasizes real-life examples and illustrations from clinical case studies, as well as numerous references.

Design And Analysis Of Clinical Trials


Author : Shein-Chung Chow
language : en
Publisher: John Wiley & Sons
Release Date : 2004


PDF Download Design And Analysis Of Clinical Trials Books For free written by Shein-Chung Chow 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 2004 with Mathematics categories.


Presentation of principles and methodologies for various clinical trials, and a well-balanced summary of current regulatory requirements. Emphasizes real-life examples and illustrations from clinical case studies, as well as numerous references.

Clinical Trials


Author : Steven Piantadosi
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-29


PDF Download Clinical Trials Books For free written by Steven Piantadosi 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 2013-05-29 with Mathematics categories.


Learn rigorous statistical methods to ensure valid clinical trials This Second Edition of the critically hailed Clinical Trials builds on the text's reputation as a straightforward and authoritative presentation of statistical methods for clinical trials. Readers are introduced to the fundamentals of design for various types of clinical trials and then skillfully guided through the complete process of planning the experiment, assembling a study cohort, assessing data, and reporting results. Throughout the process, the author alerts readers to problems that may arise during the course of the trial and provides commonsense solutions. The author bases the revisions and updates on his own classroom experience, as well as feedback from students, instructors, and medical and statistical professionals involved in clinical trials. The Second Edition greatly expands its coverage, ranging from statistical principles to controversial topics, including alternative medicine and ethics. At the same time, it offers more pragmatic advice for issues such as selecting outcomes, sample size, analysis, reporting, and handling allegations of misconduct. Readers familiar with the First Edition will discover completely new chapters, including: * Contexts for clinical trials * Statistical perspectives * Translational clinical trials * Dose-finding and dose-ranging designs Each chapter is accompanied by a summary to reinforce the key points. Revised discussion questions stimulate critical thinking and help readers understand how they can apply their newfound knowledge, and updated references are provided to direct readers to the most recent literature. This text distinguishes itself with its accessible and broad coverage of statistical design methods--the crucial building blocks of clinical trials and medical research. Readers learn to conduct clinical trials that produce valid qualitative results backed by rigorous statistical methods.

Introduction To Statistical Methods For Clinical Trials


Author : Thomas D. Cook
language : en
Publisher: CRC Press
Release Date : 2007-11-19


PDF Download Introduction To Statistical Methods For Clinical Trials Books For free written by Thomas D. Cook and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-19 with Mathematics categories.


Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.

Statistical Methods In Diagnostic Medicine


Author : Xiao-Hua Zhou
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-21


PDF Download Statistical Methods In Diagnostic Medicine Books For free written by Xiao-Hua Zhou 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 2014-08-21 with Medical categories.


Praise for the First Edition " . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include: Methods for tests designed to detect and locate lesions Recommendations for covariate-adjustment Methods for estimating and comparing predictive values and sample size calculations Correcting techniques for verification and imperfect standard biases Sample size calculation for multiple reader studies when pilot data are available Updated meta-analysis methods, now incorporating random effects Three case studies thoroughly showcase some of the questions and statistical issues that arise in diagnostic medicine, with all associated data provided in detailed appendices. A related web site features Fortran, SAS®, and R software packages so that readers can conduct their own analyses. Statistical Methods in Diagnostic Medicine, Second Edition is an excellent supplement for biostatistics courses at the graduate level. It also serves as a valuable reference for clinicians and researchers working in the fields of medicine, epidemiology, and biostatistics.

Sample Size Calculations In Clinical Research


Author : Shein-Chung Chow
language : en
Publisher: CRC Press
Release Date : 2003-03-04


PDF Download Sample Size Calculations In Clinical Research Books For free written by Shein-Chung Chow and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-04 with Mathematics categories.


Sample size calculation plays an important role in clinical research. It is not uncommon, however, to observe discrepancies among study objectives (or hypotheses), study design, statistical analysis (or test statistic), and sample size calculation. Focusing on sample size calculation for studies conducted during the various phases of clinical research and development, Sample Size Calculation in Clinical Research explores the causes of discrepancies and how to avoid them. This volume provides formulas and procedures for determination of sample size required not only for testing equality, but also for testing non-inferiority/superiority, and equivalence (similarity) based on both untransformed (raw) data and log-transformed data under a parallel-group design or a crossover design with equal or unequal ratio of treatment allocations. It contains a comprehensive and unified presentation of statistical procedures for sample size calculation that are commonly employed at various phases of clinical development. Each chapter includes, whenever possible, real examples of clinical studies from therapeutic areas such as cardiovascular, central nervous system, anti-infective, oncology, and women's health to demonstrate the clinical and statistical concepts, interpretations, and their relationships and interactions. The book highlights statistical procedures for sample size calculation and justification that are commonly employed in clinical research and development. It provides clear, illustrated explanations of how the derived formulas and/or statistical procedures can be used.