A Semiparametric Joint Model for Cluster Size and Subunit-specific Interval-Censored Outcomes

Keyphrases

• Joint Model 100%
• Interval Censoring 100%
• Semi-parametric 100%
• Cluster Size 100%
• Event Time 100%
• Censored Outcome 100%
• Informative Cluster Size 66%
• Time-varying Data 33%
• Simulation Study 33%
• Computationally Efficient 33%
• Asymptotically Normal 33%
• Performance Efficiency 33%
• Strongly Consistent 33%
• Expectation-maximization Algorithm 33%
• Maximum Likelihood Method 33%
• Performance Robustness 33%
• Sieve Maximum Likelihood Estimation 33%
• Finite Sample Performance 33%
• Random Effects 33%
• Consistent Estimation 33%
• Clustered Data 33%
• Semiparametric Efficiency 33%
• Marginal Approach 33%
• Weighted Generalized Estimating Equations 33%
• Cluster Associations 33%
• Marginal Model 33%
• Within-cluster Resampling 33%
• Biomedical Studies 33%

Mathematics

• Event Time 100%
• Expectation-Maximization Algorithm 33%
• Estimating Equation 33%
• Likelihood Approach 33%
• Outcome Variable 33%
• Simulation Study 33%
• Marginal Model 33%
• Clustered Data 33%
• Maximum Likelihood 33%
• Random Effect 33%