Pages that link to "Item:Q2348716"
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The following pages link to Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure (Q2348716):
Displaying 10 items.
- Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: a simulation study (Q1660151) (← links)
- A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error (Q2089288) (← links)
- Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values (Q2273150) (← links)
- Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition (Q2418411) (← links)
- Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models (Q2666058) (← links)
- A Two-Latent-Class Model for Smoking Cessation Data with Informative Dropouts (Q3396361) (← links)
- Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model (Q3433211) (← links)
- Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju (Q5879964) (← links)
- A hidden Markov model for continuous longitudinal data with missing responses and dropout (Q6563661) (← links)
- A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropout (Q6625720) (← links)
