Course Website Locator: bio226-01

Harvard School of Public Health

The following course websites match your request:

Spring 2010

Dr. M. Hughes
5 credits
Lectures, laboratories. Two 2-hour sessions each week.

This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data sets characteristic of biomedical research. Topics include an introduction to the analysis of correlated data, analysis of response profiles, fitting parametric curves, covariance pattern models, random effects and growth curve models, and generalized linear models for longitudinal data, including generalized estimating equations (GEE) and generalized linear mixed effects models (GLMMs).

Course Activities: Homework assignments will focus on data analysis in SAS using PROC GLM, PROC MIXED, PROC GENMOD, and PROC NLMIXED.

Course Note: BIO 210, BIO 211, BIO 213, or BIO 232, or signature of instructor required; lab or section times will be announced at first meeting.

Spring 2009

Dr. M. Hughes
5 credits
Lectures, laboratories. Two 2-hour sessions each week.

This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data sets characteristic of biomedical research. Topics include an introduction to the analysis of correlated data, analysis of response profiles, fitting parametric curves, covariance pattern models, random effects and growth curve models, and generalized linear models for longitudinal data, including generalized estimating equations (GEE) and generalized linear mixed effects models (GLMMs).

Course Activities: Homework assignments will focus on data analysis in SAS using PROC GLM, PROC MIXED, PROC GENMOD, and PROC NLMIXED.

Course Note: BIO 210, BIO 211, BIO 213, or BIO 232, or signature of instructor required; lab or section times will be announced at first meeting.

Fall 2007

Dr. G. Fitzmaurice
5 credits
Lectures, laboratories. Two 2-hour sessions each week.

This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data sets characteristic of biomedical research. Topics include an introduction to the analysis of correlated data, analysis of response profiles, fitting parametric curves, covariance pattern models, random effects and growth curve models, and generalized linear models for longitudinal data, including generalized estimating equations (GEE) and generalized linear mixed effects models (GLMMs).

Course Activities: Homework assignments will focus on data analysis in SAS using PROC GLM, PROC MIXED, PROC GENMOD, and PROC NLMIXED.

Course Note: BIO 210, BIO 211, BIO 213, or BIO 232, or signature of instructor required; lab or section times will be announced at first meeting.

Fall 2006

Dr. J. Ware
5 credits
Lectures, laboratories. Two 2-hour sessions each week.

This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data sets characteristic of biomedical research. Topics include an introduction to the analysis of correlated data, repeated measures ANOVA, random effects and growth curve models, and generalized linear models for correlated data, including generalized estimating equations (GEE).
Course Activities: Homework assignments will focus on data analysis in SAS using PROC GLM, PROC MIXED, and PROC GENMOD.
Course Note: BIO 211, BIO 213, or BIO 232, or signature of instructor required; lab or section times will be announced at first meeting. (5.06)


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