|Course Cluster and Certificates: Applied Data Science Certificate|
Survival or event history analysis focuses on modeling and analysis of time-to-event data--such as onset of a disease; duration of a strike; failure of a biological, physical, or social system; or recidivism). This 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 GOVT201 or PSYC280 or NS&B280] OR QAC380 OR ECON300 OR [GOVT367 or QAC302] OR PSYC200
||Fulfills a Major Requirement for: (CADS)(DATA-MN)
||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)
|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... 01:00PM-02:20PM; Location: ALLB204; |
|Total Enrollment Limit: 16||SR major: 0||JR major: 0|| || |
|Seats Available: 2||GRAD: 1||SR non-major: 6||JR non-major: 6||SO: 3||FR: 0|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 2||1st Ranked: 0||2nd Ranked: 1||3rd Ranked: 0||4th Ranked: 0||Unranked: 1|