Published June, 2020
By Robert O'Brien
Publisher: Taylor & Francis (CRC Press)
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This book presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approa

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Published June, 2020
By Chul Ahn, Moonseoung Heo and Song Zhang
Publisher: Taylor & Francis (CRC Press)
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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 samp

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Published June, 2020
By Poh Chin Lai, Fun Mun So and Ka-Wing Chan
Publisher: Taylor & Francis (CRC Press)
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Compiled with method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wid

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Published June, 2020
By Ian C. Marschner
Publisher: Taylor & Francis (CRC Press)
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This text gives graduate students with diverse backgrounds across the health, medical, social, and mathematical sciences a solid, unified foundation in the principles of statistical inference. Drawing on his extensive experience teaching graduate-level biostatistics courses and working in the pharmaceutical industry, the author covers the theore

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Published June, 2020
By Ding-Geng (Din) Chen, Jianguo Sun and Karl E. Peace
Publisher: Taylor & Francis (CRC Press)
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A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. Top researchers from academia, biopharmaceutical industries, and government agencies show how up-to-date statistical m

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Published June, 2020
By Ding-Geng (Din) Chen and Walter R. Young
Publisher: Taylor & Francis (CRC Press)
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With contributions from leaders in the biostatistical community, this book presents novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications from the pharmaceutical industry. It covers emerging issues in clinical trial design and analysis, adaptive clinical trial designs, oncology clinical trials, m

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Published June, 2020
By Tie-Hua Ng
Publisher: Taylor & Francis (CRC Press)
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Requiring no prior knowledge of NI testing, this book explains how to choose the NI margin as a small fraction of the therapeutic effect of the active control in a clinical trial. It discusses issues with estimating the effect size based on historical placebo control trials of the active control. The author covers basic concepts related to NI tr

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Published June, 2020
By Eugene Edgington, Patrick Onghena and Edward G. Schilling
Publisher: Taylor & Francis (CRC Press)
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Building on the previous editions that have served as standard textbooks and references for more than twenty-five years, Randomization Tests, Fourth Edition describes the randomization test theory, clarifies the hypotheses being tested, and discusses the role of random assignment. This edition also features updated material on N-of-1 randomi

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Published June, 2020
By Andrew B. Lawson, Sudipto Banerjee, Robert P. Haining and Maria Dolores Ugarte
Publisher: Taylor & Francis (CRC Press)
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This handbook explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. The book explores the use of GIS and spatial s

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Published June, 2020
By Ornulf Borgan, Mitchell H. Gail, Norman Breslow, Nilanjan Chatterjee, Alastair Scott, Chris J. Wild, Norman E. Breslow and Christopher J. Wild
Publisher: Taylor & Francis (CRC Press)
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This handbook provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, with a primary focus on case-control studies in epidemiology. Authors will be encouraged to illustrate the statistical methods they describe by application to datasets that are either alread

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