Analysis of crossover designs for longitudinal binary data with ignorable and nonignorable dropout

Keyphrases

• Crossover Design 100%
• Missing Data 100%
• Ignorable 100%
• Sensitivity Analysis 66%
• Mean Effect 33%
• Simulation Study 33%
• Distribution Pattern 33%
• Generalized Estimating Equations 33%
• Conditional Model 33%
• Generalized Linear Mixed Model 33%
• Complete Data 33%
• Selection Model 33%
• Quasi-maximum Likelihood Estimation 33%
• Marginal Model 33%
• Parametric Distribution 33%
• Binary Data 33%
• Valid Inference 33%
• Multiple Imputation Method 33%
• Missing Data Mechanism 33%
• Robust Inference 33%
• Missing Pattern 33%

Mathematics

• Crossover Design 100%
• Simulation Study 50%
• Conditionals 50%
• Parametric 50%
• Model Selection 50%
• Treatment Mean 50%
• Conditional Model 50%
• Real Data 50%
• Estimating Equation 50%
• Marginal Model 50%
• Multiple Imputation 50%
• Primary Objective 50%
• Binary Data 50%
• Imputation Method 50%
• Missingness 50%
• Complete Data 50%