140.741.01 SURVIVAL ANALYSIS II
Introduces statistical models and methods useful for analyzing univariate and multivariate failure time data. Extends Survival Analysis I to topics on length-bias and prevalent samplings, martingale theory, multivariate survival data, time-dependent ROC analysis, and recurrent event processes. Emphasizes nonparametric and semiparametric approaches for modeling, estimation and inferential results. Clinical and epidemiological examples included in class presentation illustrate statistical procedures.
Upon successfully completing this course, students will be able to: • Conduct statistical analysis for numerous types of sophisticated survival data; • Have a better ability to read and understand papers published in statistical journals; • Provide examples of prevalent and multivariate survival data arising in public health studies; • Have better preparation to work on dissertation topics in advanced survival analysis.
- Tuesday 3:30 - 4:50
- Thursday 3:30 - 4:50
Biostatistics 140.651 or equivalent, and 140.641 (Survival Analysis I ). Knowledge of probability and statistical theory is required. Non-biostatistics students need permission from instructor.