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PHP 2602 - Analysis of Lifetime Data |
Comprehensive overview of methods for inference from censored event time data, with emphasis on nonparametric and semiparametric approaches. Topics include nonparametric hazard estimation, semiparametric proportional hazards models, frailty models, multiple event processes, with application to biomedical and public health data. Computational approaches using statistical software are emphasized. Prerequisites: PHP 2510 and 2511, or equivalent. Open to advanced undergraduates with permission from the instructor.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Public Health Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Graduate level PHP 2510 Minimum Grade of S and Graduate level PHP 2511 Minimum Grade of S |
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