ABSTRACT
When designing and analyzing a medical study, researchers focusing on survival data must take into account the heterogeneity of the study population: due to uncontrollable variation, some members change states more rapidly than others. Survival data measures the time to a certain event or change of state. For example, the event may be death, occurr
TABLE OF CONTENTS
part |2 pages
Part I Basic Concepts in Survival Analysis
part |2 pages
Part II Univariate and Shared Frailty Models for Survival
part |2 pages
Part III Bivariate Frailty Models for Survival Data