Pages that link to "Item:Q3597971"
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The following pages link to Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models (Q3597971):
Displaying 13 items.
- Likelihood inference for models with unobservables: another view (Q907953) (← links)
- Comparison of hierarchical and marginal likelihood estimators for binary outcomes (Q956865) (← links)
- Two competing linear random-effects models and their connections (Q1785819) (← links)
- A review of h-likelihood for survival analysis (Q2068961) (← links)
- REML estimation for binary data in GLMMs (Q2372134) (← links)
- Hierarchical likelihood approach for frailty models (Q2739319) (← links)
- Bias Reduction of Likelihood Estimators in Semiparametric Frailty Models (Q3077798) (← links)
- Robust frailty modelling using non-proportional hazards models (Q4970586) (← links)
- Clustered binary data with random cluster sizes (Q4970913) (← links)
- Modeling proportions and marginal counts simultaneously for clustered multinomial data with random cluster sizes (Q5138059) (← links)
- Modeling of paired zero-inflated continuous data without breaking down paired designs (Q5138719) (← links)
- Double Hierarchical Generalized Linear Models (With Discussion) (Q5757822) (← links)
- Modeling clustered binary data with nonparametric unobserved heterogeneity: an application to stock crash analysis (Q6581547) (← links)