BIST-513 Survival Analysis
Spring for 2017-2018
Faculty:
TBA
Credits: 3
Prerequisites: None

Sections:

BIST-513-01 Survival Analysis
Spring for 2017-2018
Faculty:
Concepts and methods for analyzing survival time data and life tables. Introduction to basic concepts of survival analysis, including hazard functions, survival functions, types of censoring and truncation, Kaplan-Meier estimates and its extension to the comparison of survival prospects of several groups of courses using the logrank tests (and their generalization) and confidence intervals for relative risks, emphasizing graphical displays and assessing underlying assumptions. The connection between Mantel-Haenszel methods and survival analysis is thus emphasized. Parametric inference includes likelihood estimation and the exponential, Weibull, log-logistic and other relevant distributions. Statistical methods and theory for the proportional hazard models (Cox model) discussed in detail, with extensions to time-dependent covariates. Clinical and epidemiological examples included in class presentation and homework to illustrate various statistical procedures.

Credits: 3

Prerequisites: Probability and sampling, statistical inference, and basic SAS/R programming.
Credits: 3
Prerequisites: BIST-510, BIST-511
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