Pages that link to "Item:Q3506504"
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The following pages link to A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times (Q3506504):
Displaying 26 items.
- Handling attrition in longitudinal studies: the case for refreshment samples (Q252761) (← links)
- Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples (Q288563) (← links)
- A hidden Markov model for informative dropout in longitudinal response data with crisis states (Q544599) (← links)
- Statistical modeling of longitudinal data with non-ignorable non-monotone missingness with semiparametric Bayesian and machine learning components (Q2040667) (← links)
- A Dirichlet process mixture model for non-ignorable dropout (Q2057350) (← links)
- Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure (Q2348716) (← links)
- Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition (Q2418411) (← links)
- Pattern mixture models for the analysis of repeated attempt designs (Q2809550) (← links)
- Varying-coefficient models for longitudinal processes with continuous-time informative dropout (Q3303588) (← links)
- A Bayesian model for time-to-event data with informative censoring (Q3303820) (← links)
- A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time (Q3303821) (← links)
- A Two-Latent-Class Model for Smoking Cessation Data with Informative Dropouts (Q3396361) (← 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)
- Latent Pattern Mixture Models for Informative Intermittent Missing Data in Longitudinal Studies (Q3442957) (← links)
- Mixed‐Effect Hybrid Models for Longitudinal Data with Nonignorable Dropout (Q3636993) (← links)
- Pattern-mixture models with proper time dependence (Q4455390) (← links)
- Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies (Q4512445) (← links)
- An exploration of fixed and random effects selection for longitudinal binary outcomes in the presence of nonignorable dropout (Q4902186) (← links)
- Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates (Q4979228) (← links)
- Bayesian Latent‐Class Mixed‐Effect Hybrid Models for Dyadic Longitudinal Data with Non‐Ignorable Dropouts (Q5408012) (← 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)
- Improved multiple quantile regression estimation with nonignorable dropouts (Q6101004) (← links)
- Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness (Q6138597) (← links)
- Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: a high dimensional pattern-mixture model (Q6627957) (← links)
