Spring 2020 - STAT 856 G100
Longitudinal Data Analysis (4)
Class Number: 5231
Delivery Method: In Person
Methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including unbalanced and incomplete data sets, characteristic of biomedical research are covered. Topics include covariance pattern models, random or mixed-effects models, multilevel models, generalized estimating equations, inference for multistate processes and counting processes, and methods for handling missing data.
- Examples of longitudinal studies and approaches to longitudinal analysis.
- Repeated Measures ANOVA
- Exploring correlation structures; parametric models for correlation
- Contrasting marginal, random effects and transitional models
- Random effects and conditional models
- Marginal models using generalized estimation equations
- Unbalanced and incomplete data
- Multilevel models
- Missing Data Methods, Imputation, Sensitivity Analysis
- Assignments 50%
- mid-term 30%
- Class Presentation 20%
Analysis of Longitudinal Data, 2nd ed. (2013) by Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger, Oxford Statistical Science Series
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