Pages that link to "Item:Q4216695"

The following pages link to Marginal models for the analysis of longitudinal measurements with nonignorable non-monotone missing data (Q4216695):

Displaying 33 items.

• Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times (Q114432) (← links)
• A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates (Q146172) (← links)
• MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness (Q452575) (← links)
• Robust designs for multivariate logistic regression (Q478485) (← links)
• Missing data methods in longitudinal studies: a review (Q619079) (← links)
• On composite marginal likelihoods (Q732228) (← links)
• Fitting time series models for longitudinal surveys with nonignorable missing data (Q830737) (← links)
• Estimation of the mean when data contain non-ignorable missing values from a random effects model (Q1324611) (← links)
• A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates (Q1615132) (← links)
• Inference for longitudinal data with nonignorable nonmonotone missing responses (Q1623389) (← links)
• Bayesian sensitivity analysis of a nonlinear dynamic factor analysis model with nonparametric prior and possible nonignorable missingness (Q1695731) (← links)
• Robust inference for longitudinal data analysis with non-ignorable and non-monotonic missing values (Q1708952) (← links)
• Monte Carlo modified profile likelihood in models for clustered data (Q1722062) (← links)
• Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values (Q2445586) (← links)
• A reanalysis of a longitudinal scleroderma clinical trial using non-ignorable missingness models (Q2455407) (← links)
• Linear increments with non-monotone missing data and measurement error (Q2835306) (← links)
• A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters (Q3019140) (← links)
• Nonignorable Models for Intermittently Missing Categorical Longitudinal Responses (Q3064274) (← links)
• A Bivariate Pseudolikelihood for Incomplete Longitudinal Binary Data with Nonignorable Nonmonotone Missingness (Q3100823) (← links)
• Variable selection and inference procedures for marginal analysis of longitudinal data with missing observations and covariate measurement error (Q3463396) (← links)
• Longitudinal data analysis for generalized linear models with follow-up dependent on outcome-related variables (Q3512628) (← links)
• A marginalized pattern-mixture model for longitudinal binary data when nonresponse depends on unobserved responses (Q3592111) (← links)
• Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse (Q3606639) (← links)
• A Semi‐Parametric Shared Parameter Model to Handle Nonmonotone Nonignorable Missingness (Q3623742) (← links)
• Marginal Methods for Incomplete Longitudinal Data Arising in Clusters (Q4468506) (← links)
• On Inverse Probability Weighting for Nonmonotone Missing at Random Data (Q4690964) (← links)
• Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up (Q4819028) (← links)
• Evaluating Statistical Hypotheses Using Weakly‐Identifiable Estimating Functions (Q4923053) (← links)
• A stochastic variant of the EM algorithm to fit mixed (discrete and continuous) longitudinal data with nonignorable missingness (Q5077518) (← links)
• A Simple Imputation Method for Longitudinal Studies with Non‐ignorable Non‐responses (Q5122816) (← links)
• Pseudo-Likelihood Methodology for Hierarchical Count Data (Q5177583) (← links)
• Semiparametric regression models and sensitivity analysis of longitudinal data with non-random dropouts (Q6573264) (← links)
• A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data (Q6627445) (← links)