STATS 262 - Intermediate Biostatistics:Regression,Prediction,Survival Analysis

Institution:

Stanford University

Subject:

Description:

(Same as HRP 262.) Methods for analyzing longitudinal data. Topics include Kaplan-Meier methods, Cox regression, hazard ratios, timedependent 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. 3 units, Spr (Sainani, K)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.stanford.edu/

Phone Number:

(650) 723-2300

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Quarter

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