Analysis of Correlated Data with SAS and R: Fourth Edition

ISBN-13: 9781138197459 / Angielski / Twarda / 2018 / 497 str.

Mohamed M. Shoukri; Mohammad A. Chaudhary

Opis

Presenting in depth discussions of various statistical models and methods needed for the analysis of medical, biological and biostatistics data, this book emphasizes the analysis of data when normal distribution assumptions are not tenable. It provides detailed explanations in situations when data are naturally clustered in groups, whereby the Intra-class Correlation Coefficient plays a fundamental role in the model development. This new edition incorporates several additions that take into account recent developments in the field.

Spis treści

ANALYZING GROUP MEANS WHEN THE ANOVA ASSUMPTIONS ARE NOT SATISFIED.  STATISTICAL METHODS FOR HOSPITAL EPIDEMIOLOGY.  ANALYZING CLUSTERED DATA. ANALYSIS OF CROSS-CLASSIFIED DATA. STATISTICAL ANALYSIS OF CLUSTERED BINARY DATA.  MODELLING BINARY OUTCOME DATA.  STATISTICAL METHODS FOR PROPENSITY SCORE MATCHING.  ANALYSIS OF CLUSTERED COUNT DATA. ANALYSIS OF TIME SERIES WITH APPLICATION TO DETECTION OF DISEASE OUTBREAK.  REPEATED MEASURES AND LONGITUDINAL  DATA ANALYSIS. DATA ANALYSES WITH MISSING DATA (IMPUTATIONS TECHNIQUES). SURVIVAL DATA ANALYSIS.  META ANALYSIS.