Pages that link to "Item:Q892489"

The following pages link to Generalized linear mixed joint model for longitudinal and survival outcomes (Q892489):

Displaying 15 items.

• Multilevel models for longitudinal variables prognostic for survival (Q1366900) (← links)
• Joint modeling of covariates and censoring process assuming non-constant dropout hazard (Q2013641) (← links)
• Joint mixture quantile regressions and time-to-event analysis (Q2083422) (← links)
• Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure (Q2348716) (← links)
• Jointly modeling longitudinal proportional data and survival times with an application to the quality of life data in a breast cancer trial (Q2356621) (← links)
• Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances (Q3459949) (← links)
• A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates (Q3465726) (← links)
• (Q4363998) (← links)
• Joint models for longitudinal counts and left-truncated time-to event data with applications to health insurance (Q4606118) (← links)
• Joint models for a GLM-type longitudinal response and a time-to-event with smooth random effects (Q5036918) (← links)
• A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution (Q5138748) (← links)
• The Conway–Maxwell–Poisson-generalized gamma regression model with long-term survivors (Q5300748) (← links)
• Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data (Q6089191) (← links)
• Stable non-linear generalized Bayesian joint models for survival-longitudinal data (Q6133713) (← links)
• A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy (Q6172180) (← links)