Survival Analysis
QAC 314
Spring 2017
| Section:
01
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| 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. |
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| Credit: .5 |
Gen Ed Area Dept:
NSM QAC, SBS QAC |
| Course Format: Laboratory Course | Grading 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 |
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Fulfills a Requirement for: (CADS)(DATA-MN)(HRAD-MN)(PSYC) |
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Past Enrollment Probability: 50% - 74% |
| SECTION 01 - 3rd Quarter | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
Allison, Paul D., SURVIVAL ANALYSIS USING SAS, SAS Publishing, 2012
Kleinbaum, David G. and Klein, Mitchel, SURVIVAL ANALYSIS: A SELF-LEARNED TEXT, Springer, 2012 (Available electronically through Wesleyan libraries)
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Examinations and Assignments:
Several homework assignments and a take-home final exam linked to the course project. Part of the grade will depend on class preparation and participation. |
Additional Requirements and/or Comments:
An introductory statistics/data analysis background is a prerequisite for the course and that is why QAC201, or 380, or ECON 300, or GOVT367, or PSYC 200 etc. are listed as formal prerequisites. Pre-req overrides will be approved by the Professor for students who satisfy this basic requirements through other course work. The course includes a strong lab component and programming with a statistical analysis software (e.g. SAS, or Stata, or R) is a significant part of the course work.
Please Note: The course meets the first half of the semester while QAC 311 meets during the second half of the term. |
| Instructor(s): Nazzaro,Valerie L. Times: .M.W... 02:50PM-04:10PM; Location: ALLB204; |
| Total Enrollment Limit: 16 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 6 | GRAD: 1 | SR non-major: 6 | JR non-major: 6 | SO: 3 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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