Analysis of Correlated Data With Sas and R - Fourth Edition

List of contents

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.

About the author

Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri’s research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.

Summary

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 I

Product details

• Authors: Mohamed M. Shoukri, Shoukri Mohamed M.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 31.12.2020
• EAN: 9780367734954
• ISBN: 978-0-367-73495-4
• No. of pages: 497
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics