Analysis of Mixed Models Data

Integration of linear models with experimental design and sampling, considering applications with unbalanced and missing data. In-depth discussion of mixed models including parameterizations, analysis of covariance, unequal numbers of observations per cell, missing cells. Repeated measure designs and longitudinal data analysis emphasized, with many examples illustrated using SAS. Prerequisite: BIOST&EP 640 and 691F or equivalent. Recommended: Bioepi 741 and 744.

Course Details

Campus: 
Amherst
Format: 
Online
Level: 
Graduate
Subject: 
Biostatistics
Number: 
BIOSTATS 740
Semester: 
Spring 2023
Registration Status: 
Open
Registration: 
Monday, November 7, 2022 to Sunday, February 19, 2023