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Statistical Methods in Psychiatry and Related Fields "Longitudinal, Clustered, and Other Repeated Measures Data"

99.9
94.91
Features

Provides an overview of intermediate to advanced statistical methods applied to psychiatry.
Takes a non-technical approach with mathematical details kept to a minimum.
Includes lots of detailed examples from published studies in psychiatry and related fields.
Software programs, data sets and output are available on a supplementary website.
Summary

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics.

This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for 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 the assumptions of each method, applicability and interpretation rather than on technical details.

The intended audience are applied researchers with minimal knowledge of statistics, although the book could also benefit collaborating statisticians. The book, together with the online materials, is a valuable resource aimed at promoting the use of appropriate statistical methods for the analysis of repeated measures data.

Table of Contents

Introduction

Traditional Methods for Analysis of Longitudinal and Clustered Data

Linear Mixed Models for Longitudinal and Clustered Data

Linear Models for Non-normal Outcomes

Nonparametric Methods for the Analysis of Repeatedly Measured Data

Post-hoc Analysis and Adjustments for Multiple Comparisons

Handling of Missing Data and Dropout in Longitudinal Studies

Controlling for Covariates in Studies with Repeated Measures

Assessment of Moderator and Mediator Effects

Mixture Models for Trajectory Analyses

Study Design and Sample Size Calculations

Summary and Further Readings
ISBN
978-1-4987-4076-0
EAN
9781498740760
Editor
CRC Press
Stock
NO
Idioma
Inglés
Nivel
Profesional
Formato
Encuadernado
Tapa Dura
Páginas
362
Largo
-
Ancho
-
Peso
-
Edición
Fecha de edición
01-12-2017
Año de edición
2017
Nº de ediciones
1
Colección
-
Nº de colección
-