BST 223 - Applied Survival Analysis or return to Course Catalog Search
190040 – Section 1
|Harvard T.H. Chan School of Public Health||Biostatistics||Andrea Bellavia|
|Term||Day and Time||Location|
|Spring (Full Term) 2018 (show academic calendar)||TuTh 9:45 a.m. - 11:15 a.m.||FXB G13 (HSPH)|
5 (show credit conversion for other schools)
Credit in Harvard T.H. Chan School of Public Health is equivalent to:
Topics will include types of censoring, hazard, survivor, and cumulative hazard functions, Kaplan-Meier and actuarial estimation of the survival distribution, comparison of survival using log rank and other tests, regression models including the Cox proportional hazards model and the accelerated failure time model, adjustment for time-varying covariates, and the use of parametric distributions (exponential, Weibull) in survival analysis. Methods for recurrent survival outcomes and competing risks will also be discussed, as well as design of studies with survival outcomes. Class material will include presentation of statistical methods for estimation and testing along with current software (SAS, Stata) for implementing analyses of survival data. Applications to real data will be emphasized.Course Prerequisite(s): BST210 or BST213 or BST 232 or BST 260 or PHS2000AFormerly BIO223
Prerequisite: BST210 or BST213 or BST232 or BST260 or PHS2000A.
|Eligible for cross-registration|
With permission of instructor/subject to availability
MIT students please cross register from MIT's Add/Drop application.