Psychiatry
Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data 2018
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 :
Content: IntroductionTraditional Methods for Analysis of Longitudinal and Clustered DataLinear Mixed Models for Longitudinal and Clustered DataLinear Models for Non-normal OutcomesNonparametric Methods for the Analysis of Repeatedly Measured DataPost-hoc Analysis and Adjustments for Multiple ComparisonsHandling of Missing Data and Dropout in Longitudinal StudiesControlling for Covariates in Studies with Repeated MeasuresAssessment of Moderator and Mediator EffectsMixture Models for Trajectory AnalysesStudy Design and Sample Size CalculationsSummary and Further Readings
