Pages that link to "Item:Q2806842"
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The following pages link to Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches (Q2806842):
Displaying 9 items.
- Bayesian modeling longitudinal dyadic data with nonignorable dropout, with application to a breast cancer study (Q439170) (← links)
- A hidden Markov model for informative dropout in longitudinal response data with crisis states (Q544599) (← links)
- Nonignorable dropout models for longitudinal binary data with random effects: an application of Monte Carlo approximation through the Gibbs output (Q961962) (← links)
- Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout (Q2135856) (← links)
- Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure (Q2348716) (← links)
- Bayesian approach to analysing longitudinal bivariate binary data with informative dropout (Q2513335) (← links)
- A Latent Autoregressive Model for Longitudinal Binary Data Subject to Informative Missingness (Q3079001) (← links)
- A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time (Q3303821) (← links)
- Tolerance bands for exponential family functional data (Q6642533) (← links)
