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Likelihood Methods for Logistic
Regression with Missing Data
1 of 10
Survival Analysis with Covariate Measurement Error
2 of 10
Bayesian Analysis for Repeated Compositional Data and Approaches
for Correcting Measurement Errors in General Multivariate Linear
Model
3 of 10
Estimation of Potential Outcomes when Treatment Assignment and Discontinuation Compete in Observational Data
4 of 10
Joint Modeling Approaches for Clustered Survival Data with Random Cluster Size
5 of 10
Robust Latent Class Analysis for Longitudinal Data
6 of 10
Statistical Methods for Causal Inference in Observational Studies
7 of 10
Statistical Methods to Adjust for Misclassified Repeated Exposures in Modeling Disease-Exposure Associations
8 of 10
Regression Models for a Continuous Outcome Subject to Pooling
9 of 10
Robust Statistical Methods for Handling Missing Data
10 of 10