Pages that link to "Item:Q4512445"

The following pages link to Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies (Q4512445):

Displaying 36 items.

• An analysis of longitudinal data with nonignorable dropout using the truncated multivariate normal distribution (Q406530) (← links)
• Bayesian modeling longitudinal dyadic data with nonignorable dropout, with application to a breast cancer study (Q439170) (← links)
• Missing data methods in longitudinal studies: a review (Q619079) (← links)
• Generalized linear mixed models with informative dropouts and missing covariates (Q745314) (← links)
• Generalized linear mixed joint model for longitudinal and survival outcomes (Q892489) (← links)
• Estimation in longitudinal studies with nonignorable dropout (Q897201) (← links)
• Longitudinal data with follow-up truncated by death: match the analysis method to research aims (Q903278) (← links)
• Nonignorable dropout models for longitudinal binary data with random effects: an application of Monte Carlo approximation through the Gibbs output (Q961962) (← links)
• Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs (Q962323) (← links)
• A SAS/IML software program for GEE and regression diagnostics (Q1010460) (← links)
• Covariance miss-specification and the local influence approach in sensitivity analyses of longitudinal data with drop-outs (Q1020647) (← links)
• Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts (Q2042529) (← links)
• Mixtures of semiparametric varying coefficient models for longitudinal data with nonignorable dropout (Q2267283) (← links)
• Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure (Q2348716) (← links)
• A linear mixed model for analyzing longitudinal skew-normal responses with random dropout (Q2512575) (← links)
• Model selection in the weighted generalized estimating equations for longitudinal data with dropout (Q2806844) (← links)
• Selection and pattern mixture models for modelling longitudinal data with dropout: an application study (Q2920820) (← links)
• A Pattern-Mixture Model for Longitudinal Binary Responses with Nonignorable Nonresponse (Q3079058) (← links)
• Varying-coefficient models for longitudinal processes with continuous-time informative dropout (Q3303588) (← links)
• A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time (Q3303821) (← links)
• The common structure of several models for non-ignorable dropout (Q3427633) (← links)
• Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model (Q3433211) (← links)
• Maximum Likelihood Estimation of Bivariate Logistic Models for Incomplete Responses with Indicators of Ignorable and Non-Ignorable Missingness (Q3435715) (← links)
• Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Nonignorable Dropout (Q3445323) (← links)
• A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times (Q3506504) (← links)
• An Appraisal of Methods for the Analysis of Longitudinal Ordinal Response Data with Random Dropout Using a Nonhomogeneous Markov Model (Q3578981) (← links)
• Mixed‐Effect Hybrid Models for Longitudinal Data with Nonignorable Dropout (Q3636993) (← links)
• A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts (Q4221313) (← links)
• (Q4825518) (← links)
• Managing nonignorable missing data with clustered multinomial responses (Q4971436) (← links)
• Mixed-effect models for longitudinal responses with different types of dropout: an application to the Leiden 85-plus study (Q5130303) (← links)
• Bayesian varying coefficient mixed-effects joint models with asymmetry and missingness (Q5142173) (← links)
• Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout (Q5416413) (← links)
• A Hybrid Model for Nonignorable Dropout in Longitudinal Binary Responses (Q5473220) (← links)
• A Joint Model for Longitudinal Data Profiles and Associated Event Risks with Application to a Depression Study (Q5757760) (← links)
• A Brief Review of Approaches to Non‐ignorable Non‐response (Q6086594) (← links)