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Survival Analysis

QAC 314
Spring 2016
Section: 01  
Certificates: Applied Data Science

Survival or Event History Analysis focuses on modeling and analysis of time-to-event data--e.g. onset of a disease, duration of a strike, failure of a biological, a physical or a social system, recidivism, etc. The course introduces students to survival and hazard functions, the analysis of censored data using parametric and non-parametric estimation methods and compares survival curves for different groups and discussed competing risk models. The emphasis is on the applications of the different methods with the objective of broadening computational skills in R and/or SAS, and to reinforce statistical writing and communication. These skills will be applied to a variety of problems in political science, public health, engineering, and medicine.
Credit: .5 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Laboratory CourseGrading Mode: Graded
Level: UGRD Prerequisites: [QAC201 or SOC257 or GOVT201 or PSYC280 or NS&B280] OR [QAC380 or PSYC395] OR ECON300 OR [GOVT367 or QAC302] OR PSYC200
Fulfills a Major Requirement for: (DATA-MN)
Past Enrollment Probability: Not Available

Last Updated on OCT-22-2017
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