Logistic Regression and Survival Analysis
SPH BS 820
Graduate Prerequisites: (SPHPH717) and BS723 or BS852; or consent of instructor - This course provides basic knowledge of logistic regression and analysis of survival data. Regression modeling of categorical or time-to-event outcomes with continuous and categorical predictors is covered. Checking of model assumptions, goodness of fit, use of maximum likelihood to determine estimates and test hypotheses, use of descriptive and diagnostic plots are emphasized. The SAS statistical package is used to perform analyses. Grading will be based on homework and exams.
SPRG 2025 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Lavalley | INS 112 | M 6:00 pm-8:50 pm | First class meeting has occurred, instructor consent required to add prior to second class meeting. If you obtain instructor consent, please submit a SPH Add/Drop Form with the instructor's written permission to the SPH Reg Office. |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.