Pages that link to "Item:Q4320761"

The following pages link to A class of pattern-mixture models for normal incomplete data (Q4320761):

Displaying 28 items.

• A Pseudo‐Bayesian Shrinkage Approach to Regression with Missing Covariates (Q4649075) (← links)
• Reparameterizing the Pattern Mixture Model for Sensitivity Analyses Under Informative Dropout (Q4670493) (← links)
• An exploration of fixed and random effects selection for longitudinal binary outcomes in the presence of nonignorable dropout (Q4902186) (← links)
• Bayesian Model Selection for Incomplete Data Using the Posterior Predictive Distribution (Q4911928) (← links)
• Imputation techniques for incomplete data in quadratic discriminant analysis (Q4912061) (← links)
• A pattern-mixture odds ratio model for incomplete categorical data (Q4935318) (← links)
• The analysis of repeated measurements: a comparison of mixed-model satterthwaite f tests and a nonpooled adjusted degrees of freedom multivariate test (Q4935325) (← links)
• Arbitrariness of models for augmented and coarse data, with emphasis on incomplete data and random effects models (Q4970591) (← links)
• Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII (Q5086174) (← links)
• Empirical likelihood inference in mixture of semiparametric varying-coefficient models for longitudinal data with non-ignorable dropout (Q5169793) (← links)
• Generalized shared-parameter models and missingness at random (Q5194716) (← links)
• Inference in randomized trials with death and missingness (Q5283299) (← links)
• In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist (Q5327256) (← links)
• Bayesian Latent‐Class Mixed‐Effect Hybrid Models for Dyadic Longitudinal Data with Non‐Ignorable Dropouts (Q5408012) (← links)
• Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout (Q5416413) (← links)
• Multiple imputation: current perspectives (Q5425039) (← links)
• Just‐Identified Versus Overidentified Two‐Level Hierarchical Linear Models with Missing Data (Q5449933) (← links)
• A Latent‐Class Mixture Model for Incomplete Longitudinal Gaussian Data (Q5450459) (← links)
• Local Model Uncertainty and Incomplete-Data Bias (With Discussion) (Q5473051) (← links)
• A simple and fast alternative to the EM algorithm for incomplete categorical data and latent class models. (Q5940792) (← links)
• Influence analysis to assess sensitivity of the dropout process. (Q5941428) (← links)
• Comments on: Missing data methods in longitudinal studies: a review (Q5966104) (← links)
• Comments on: Missing data methods in longitudinal studies: a review (Q5966105) (← links)
• A Brief Review of Approaches to Non‐ignorable Non‐response (Q6086594) (← links)
• Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling (Q6089912) (← links)
• Nonignorable Missing Data, Single Index Propensity Score and Profile Synthetic Distribution Function (Q6620895) (← links)
• Population-calibrated multiple imputation for a binary/categorical covariate in categorical regression models (Q6625686) (← links)
• Nonresponse bias analysis in longitudinal studies: a comparative review with an application to the early childhood longitudinal study (Q6663976) (← links)