Intermediate Biostatistics: Regression, Prediction, Survival Analysis

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Course Description

(Formerly HRP 262) Methods for analyzing longitudinal data. Topics include Kaplan-Meier methods, Cox regression, hazard ratios, time-dependent variables, longitudinal data structures, profile plots, missing data, modeling change, MANOVA, repeated-measures ANOVA, GEE, and mixed models. Emphasis is on practical applications. Prerequisites: basic ANOVA and linear regression.

Cross Listed Courses

Grading Basis

MOP - Medical Option (Med-Ltr-CR/NC)

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Lab Section

Enrollment Optional?

Yes

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

STATS262 is a completion requirement for:
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