Chul Ahn, Moonseoung Heo, Song Zhang

Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies. For clustered studies, the authors provide sample size formulas that account for variable cluster sizes and within-cluster correlation. For longitudinal studies, they present sample size formulas that account for within-subject correlation among repeated measurements and various missing data patterns. For multiple levels of clustering, the authors describe how randomization impacts trial administration, analysis, and sample size requirement.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 260
• Erscheinungstermin: 9. Dezember 2014
• Englisch
• ISBN-13: 9781466556270
• Artikelnr.: 42366778

Autorenporträt

Chul Ahn, PhD, is a professor in the Department of Clinical Sciences and the cancer center associate director for biostatistics and bioinformatics in the Simmons Comprehensive Cancer Center at the University of Texas Southwestern Medical Center. He is also director of Biostatistics and Research Design for the NIH-sponsored Clinical and Translational Science Award (CTSA). He has published more than 370 peer-reviewed papers addressing the design and analysis of clinical trials and epidemiological studies as well as the evaluation of repeated measurements and correlated data.

Moonseong Heo, PhD, is a professor in the Department of Epidemiology & Population Health at the Albert Einstein College of Medicine. His research includes sample size determinations for clinical trials, meta-analysis, longitudinal data analysis applying mixed-effects models, handling attrition problems in clinical trials data, and epidemiology in the fields of obesity and psychiatry.

Song Zhang, PhD, is an associate professor in the Department of Clinical Sciences at the University of Texas Southwestern Medical Center. He has extensive experience in the design of clinical trials with correlated outcomes, addressing challenges that involve different correlation structures, missing data patterns, financial constraints, and historical controls. He is also interested in Bayesian statistical methods and their application in longitudinal and survival data analysis, high-throughput data analysis, disease mapping, adaptive design for clinical trials, and missing data imputation.

Inhaltsangabe

Sample Size Determination for Independent Outcomes. Sample Size
Determination for Clustered Outcomes. Sample Size Determination for
Repeated Measurement Outcomes Using Summary Statistics. Sample Size
Determination for Correlated Outcome Measurements Using GEE. Sample Size
Determination for Correlated Outcomes from Two-Level Randomized Clinical
Trials. Sample Size Determination for Correlated Outcomes from Three Level
Randomized Clinical Trials.

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Sample Size Determination for Independent Outcomes. Sample Size Determination for Clustered Outcomes. Sample Size Determination for Repeated Measurement Outcomes Using Summary Statistics. Sample Size Determination for Correlated Outcome Measurements Using GEE. Sample Size Determination for Correlated Outcomes from Two-Level Randomized Clinical Trials. Sample Size Determination for Correlated Outcomes from Three Level Randomized Clinical Trials.

Rezensionen

"...an excellent resource for both statisticians and practitioners undertaking prospective studies in human trials."
-International Statistical Review

" . . . this is a clearly written and sequentially well-organized book. One may find it easy to read and comprehend the various conceptual and methodological issues. To facilitate better understanding, each of the covered topic deals with illustration. I fully agree with the claim of the authors that this book may serve as a useful resource for biostatisticians, clinical investigators, epidemiologists, and social scientists whose research involves randomized trials with correlated outcomes usually classified into two types: clustered or longitudinal."
-Sada Nand Dwivedi, International Society for Clinical Biostatistics

"The book opens with an excellent summary and overview of conventional sample size analysis, including precision and power analysis. . . The book moves on to sample size calucations for clustered data."
-The American Statistician, 2016

"This book aims to be a useful reference for those of us who are frequently asked 'how many people will I need to recruit?' This text provides a useful reference for those who wish to calculate the sample size for a clustered design . . . clear and accessible examples and some thoughtful reminders of key considerations."
-Beth Stuart, International Society for Clinical Biostatistics