Pages that link to "Item:Q4247976"
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The following pages link to The Analysis of Methadone Clinic Data Using Marginal and Conditional Logistic Models with Mixture or Random Effects (Q4247976):
Displaying 11 items.
- Binary geometric process model for the modeling of longitudinal binary data with trend (Q650702) (← links)
- Classification in segmented regression problems (Q901624) (← links)
- Nonignorable dropout models for longitudinal binary data with random effects: an application of Monte Carlo approximation through the Gibbs output (Q961962) (← links)
- Bayesian approach to analysing longitudinal bivariate binary data with informative dropout (Q2513335) (← links)
- Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches (Q2806842) (← links)
- Multilevel ordinal models for examination grades (Q3429997) (← links)
- Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates (Q4468362) (← links)
- MODELLING INSURANCE LOSSES USING CONTAMINATED GENERALISED BETA TYPE-II DISTRIBUTION (Q4562958) (← links)
- On the design of clinical trials for treatment of opiate dependence (Q4843749) (← links)
- Toward a dynamic analysis of disease-state transition monitored by serial clinical laboratory tests (Q4843752) (← links)
- (Q5149227) (← links)
