ST 691
Survival Analysis
This course is designed to provide students with an understanding of the concepts, theoretical basis and statistical methods associated with survival data. Topics include censoring and truncation, Kaplan-Meier estimators, log-rank statistics, parametric models, proportional hazards models, competing risks and recurrent events. Models and techniques will be illustrated using examples from a variety of fields including medical and clinical research, insurance, and finance.
Prerequisites: ST562.
Exclusions: ST491 or equivalent.
This course is designed to provide students with an understanding of the concepts, theoretical basis and statistical methods associated with survival data. Topics include censoring and truncation, Kaplan-Meier estimators, log-rank statistics, parametric models, proportional hazards models, competing risks and recurrent events. Models and techniques will be illustrated using examples from a variety of fields including medical and clinical research, insurance, and finance.
Prerequisites: ST562.
Exclusions: ST491 or equivalent.
This course is designed to provide students with an understanding of the concepts, theoretical basis and statistical methods associated with survival data. Topics include censoring and truncation, Kaplan-Meier estimators, log-rank statistics, parametric models, proportional hazards models, competing risks and recurrent events. Models and techniques will be illustrated using examples from a variety of fields including medical and clinical research, insurance, and finance.
Prerequisites: ST562.
Exclusions: ST491 or equivalent.
