Fall 2016 not offered
|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; compares survival curves for different groups; and discusses 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.
||Gen Ed Area Dept:
NSM QAC, SBS QAC|
|Course Format: Laboratory Course||Grading Mode: Graded|
||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: (CADS)(DATA-MN)