Ralitza Gueorguieva
Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data
Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data
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Excellent- More about Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data
This book provides a non-technical overview of advanced statistical methods for analyzing correlated data in psychiatry and related fields. It covers mixed models, nonparametric methods, growth mixture models, multiple comparison correction, missing data analysis, covariate adjustment, mediator and moderator effects, study design, and sample size considerations. The intended audience is applied researchers with minimal statistical knowledge, and the book includes detailed examples and software programs.
Format: Paperback / softback
Length: 352 pages
Publication date: 30 September 2020
Publisher: Taylor & Francis Ltd
The analysis of data collected in psychiatry and related fields presents unique challenges due to the complexity of the outcomes, the presence of correlated repeated measures within individuals, natural heterogeneity in treatment responses, and other characteristics of the populations. Traditional statistical methods often fail to adequately handle such data, necessitating the use of more advanced techniques. This comprehensive book aims to provide a non-technical introduction to several approaches for analyzing correlated data in psychiatry.
Mixed models, nonparametric methods, and growth mixture models are discussed in detail, with separate chapters dedicated to techniques such as multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects, study design, and sample size considerations. The focus is on explaining the assumptions of each method, their applicability, and interpretation rather than delving into technical details.
The book is designed to appeal to applied researchers with minimal knowledge of statistics, although it can also be valuable for collaborating statisticians. It includes numerous detailed examples from published studies in psychiatry and related fields, and software programs, data sets, and output are available on a supplementary website.
By presenting these methods in a clear and accessible manner, this book aims to promote the use of advanced statistical techniques in psychiatry research, ultimately advancing our understanding of mental health disorders and their treatment.
Weight: 706g
Dimension: 177 x 252 x 26 (mm)
ISBN-13: 9780367657529
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