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MDCH612

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Biostatistics III: Models for Repeated Measures Studies and Time-to-Events Studies

Graduate Science Educ Office MD - Cumming School of Medicine

Subject

MDCH - Community Health Sciences

Description

Discusses techniques for analyzing data collected at more than one point in time (repeated measures) and time-to-event (survival) data. Topics include generalized linear models (GLM), generalized additive models (GAM), Poisson regression, generalized estimating equations (GEE), and proportional hazards regression with time-varying covariates. STATA statistical software is used to analyze data.

Prerequisite(s): Admission to the Community Health Sciences graduate program and Community Health Sciences 611 or Medical Science 643.02.

Antirequisite(s): Credit for Community Health Sciences 612 and Medical Science 643.03 (Biostatistics III: Models for Rept Measures Studies) will not be allowed.

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -B, GFC Hours (3-2T)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Component

TUT

Units

3

Repeat for Credit

No

Subject code

MDCH
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