140.608.11 ANALYSIS OF LONGITUDINAL DATA
Covers statistical models for drawing scientific inferences from longitudinal data. Topics include longitudinal study design; exploring longitudinal data; linear and generalized linear regression models for correlated data, including marginal, random effects, and transition models; and handling missing data.
Upon successfully completing this course, students will be able to: 1) prepare graphical or tabular displays of longitudinal data that effectively communicate the patterns of scientific interest; 2) use a general linear model to make scientific inferences about the relationship between response and explanatory variables while accounting for the correlation among repeated responses for an individual; 3) use marginal, random effects, or transitional generalized linear models to make scientific inferences when the repeated observations are binary, counts, or non-Gaussian continuous observations; 4) use SAS or STATA to conduct the appropriate longitudinal data analyses.
- Mon 06/25/2012 - Fri 06/29/2012
- Monday 1:30 - 5:00
- Tuesday 1:30 - 5:00
- Wednesday 1:30 - 5:00
- Thursday 1:30 - 5:00
- Friday 1:30 - 5:00
Intermediate level biostatistics and epidemiology