Handbook of Statistical Methods for Randomized Controlled Trials

Handbook of Statistical Methods for Randomized Controlled Trials
Author :
Publisher : CRC Press
Total Pages : 655
Release :
ISBN-10 : 9781498714648
ISBN-13 : 1498714641
Rating : 4/5 (48 Downloads)

Book Synopsis Handbook of Statistical Methods for Randomized Controlled Trials by : KyungMann Kim

Download or read book Handbook of Statistical Methods for Randomized Controlled Trials written by KyungMann Kim and published by CRC Press. This book was released on 2021-08-23 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Handbook of Statistical Methods for Randomized Controlled Trials Related Books

Handbook of Statistical Methods for Randomized Controlled Trials
Language: en
Pages: 655
Authors: KyungMann Kim
Categories: Mathematics
Type: BOOK - Published: 2021-08-23 - Publisher: CRC Press

DOWNLOAD EBOOK

Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw
Cochrane Handbook for Systematic Reviews of Interventions
Language: en
Pages: 672
Authors: Julian P. T. Higgins
Categories: Medical
Type: BOOK - Published: 2008-11-24 - Publisher: Wiley

DOWNLOAD EBOOK

Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare resear
Handbook of Meta-Analysis
Language: en
Pages: 570
Authors: Christopher H. Schmid
Categories: Mathematics
Type: BOOK - Published: 2020-09-07 - Publisher: CRC Press

DOWNLOAD EBOOK

1. Provides a comprehensive overview of meta-analysis methods and applications. 2. Divided into four major sub-topics, covering univariate meta-analysis, multiv
Introduction to Randomized Controlled Clinical Trials
Language: en
Pages: 304
Authors: John N.S. Matthews
Categories: Mathematics
Type: BOOK - Published: 2006-06-26 - Publisher: CRC Press

DOWNLOAD EBOOK

Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical
Introduction to Statistical Methods for Clinical Trials
Language: en
Pages: 465
Authors: Thomas D. Cook
Categories: Mathematics
Type: BOOK - Published: 2007-11-19 - Publisher: CRC Press

DOWNLOAD EBOOK

Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, fr