Course ID: | BIOS(STAT) 4380/6380. 3 hours. |
Course Title: | Survival Analysis |
Course Description: | Methods for comparing time-to-event data, including univariate parametric and nonparametric procedures, regression models, diagnostics, group comparisons, and use of relevant statistical computing packages. |
Oasis Title: | SURVIVAL ANALYSIS |
Undergraduate Prerequisite: | [(STAT 4210 or STAT 4110H) and STAT 4510/6510] or permission of department |
Graduate Prerequisite: | [(STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or BIOS 7020) and STAT 4510/6510] or permission of department |
Semester Course Offered: | Offered spring semester every year. |
Grading System: | A-F (Traditional) |
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Course Objectives: | Upon completion of the course, students will be able to
recognize survival data and the various types of censoring and
truncation that affect them. They will understand the basic
tools of survival analysis and they will be able to implement
standard nonparametric and parametric statistical methods for
the analysis of failure time data, including Kaplan-Meier
estimation and log-rank testing of survival functions and
regression analysis of failure time data via proportional
hazards models, logistic models and accelerated lifetime
models. Students will be able to accomplish analyses of real
data with these methods via statistical software and interpret
the results of those analyses. |
Topical Outline: | Concepts and methods for the analysis of time-to-event data:
basic tools for description of such data, concepts of censoring
and truncation, and methods of analysis including univariate
parametric and nonparametric procedures, regression models,
diagnostics, group comparisons, and use of relevant statistical
computing packages. |