Pages that link to "Item:Q4670474"
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The following pages link to Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies (Q4670474):
Displaying 26 items.
- A weighted simulation-based estimator for incomplete longitudinal data models (Q274153) (← links)
- Missing data methods in longitudinal studies: a review (Q619079) (← links)
- Impact of non-normal random effects on inference by multiple imputation: a simulation assessment (Q962317) (← links)
- Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
- Using multiple imputation with GEE with non-monotone missing longitudinal binary outcomes (Q2065247) (← links)
- A hot-deck multiple imputation procedure for gaps in longitudinal recurrent event histories (Q2893422) (← links)
- A particular diffusion model for incomplete longitudinal data: application to the multicenter AIDS cohort study (Q3018670) (← links)
- Multiple Imputation Approaches for the Analysis of Dichotomized Responses in Longitudinal Studies with Missing Data (Q3076052) (← links)
- Multiple Imputation After 18+ Years (Q3129032) (← links)
- Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model (Q3299128) (← links)
- Multiple Imputation for Longitudinal Data Under a Bayesian Multilevel Model (Q3645008) (← links)
- Dual imputation model for incomplete longitudinal data (Q4614647) (← links)
- Analysis of Longitudinal Clinical Trials with Missing Data Using Multiple Imputation in Conjunction with Robust Regression (Q4911951) (← links)
- Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models (Q5037018) (← links)
- Screening for prostate cancer using multivariate mixed-effects models (Q5127029) (← links)
- Multiple imputation for ordinal longitudinal data with monotone missing data patterns (Q5138532) (← links)
- Random covariances and mixed-effects models for imputing multivariate multilevel continuous data (Q5194718) (← links)
- A Simulation Study Comparing Multiple Imputation Methods for Incomplete Longitudinal Ordinal Data (Q5259172) (← links)
- Imputation of repeatedly observed multinomial variables in longitudinal surveys (Q5358376) (← links)
- Multiple imputation: current perspectives (Q5425039) (← links)
- Just‐Identified Versus Overidentified Two‐Level Hierarchical Linear Models with Missing Data (Q5449933) (← links)
- Comments on: Missing data methods in longitudinal studies: a review (Q5966106) (← links)
- A Bayesian approach towards missing covariate data in multilevel latent regression models (Q6198878) (← links)
- Covariate selection for multilevel models with missing data (Q6540496) (← links)
- Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error (Q6552528) (← links)
- Efficient analysis of \(Q\)-level nested hierarchical general linear models given ignorable missing data (Q6637417) (← links)
