Pages that link to "Item:Q3023639"
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The following pages link to Marginal and association regression models for longitudinal binary data with drop-outs: A likelihood-based approach (Q3023639):
Displaying 10 items.
- A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates (Q146172) (← links)
- Semiparametric marginal and association regression methods for clustered binary data (Q261833) (← links)
- Analysis of correlated binary data under partially linear single-index logistic models (Q2519040) (← links)
- A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters (Q3019140) (← links)
- Semiparametric Efficient Estimation for Incomplete Longitudinal Binary Data, With Application to Smoking Trends (Q3069873) (← links)
- Bias in Estimating Association Parameters for Longitudinal Binary Responses with Drop‐Outs (Q3078674) (← links)
- A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time (Q3303821) (← links)
- Median Regression Models for Longitudinal Data with Dropouts (Q3637017) (← links)
- Estimating functions for evaluating treatment effects in cluster‐randomized longitudinal studies in the presence of drop‐out and non‐compliance (Q4932235) (← links)
- A unified framework of analyzing missing data and variable selection using regularized likelihood (Q6561261) (← links)
