Pages that link to "Item:Q5347403"

The following pages link to Diagnosing misspecification of the random‐effects distribution in mixed models (Q5347403):

Displaying 15 items.

• Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models (Q113495) (← links)
• Misspecifying the shape of a random effects distribution: why getting it wrong may not matter (Q449846) (← links)
• Detecting misspecification in the random-effects structure of cumulative logit models (Q1663151) (← links)
• Random-intercept misspecification in generalized linear mixed models for binary responses (Q1697860) (← links)
• Effect of misspecification of random effects distribution on the performance of parameters estimation methods in binary logistic mixed models (Q2192335) (← links)
• Empirical performance of estimation methods in beta mixed models with application to ecological data (Q2217075) (← links)
• Testing Sparsity-Inducing Penalties (Q3391458) (← links)
• Diagnosis of Random‐Effect Model Misspecification in Generalized Linear Mixed Models for Binary Response (Q3636977) (← links)
• A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 2020 (Q6068293) (← links)
• Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models (Q6088261) (← links)
• Insurance pricing with hierarchically structured data an illustration with a workers' compensation insurance portfolio (Q6096081) (← links)
• Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification (Q6109187) (← links)
• Correcting for heterogeneity and non‐comparability bias in multicenter clinical trials with a rescaled random‐effect excess hazard model (Q6183916) (← links)
• Scale mixture of skew-normal linear mixed models with within-subject serial dependence (Q6627708) (← links)
• The effect of random-effects misspecification on classification accuracy (Q6637095) (← links)