Pages that link to "Item:Q449846"

The following pages link to Misspecifying the shape of a random effects distribution: why getting it wrong may not matter (Q449846):

Displaying 50 items.

• Causal Inference from Observational Studies with Clustered Interference (Q146289) (← links)
• Detecting random-effects model misspecification via coarsened data (Q452664) (← links)
• Item cloning variation and the impact on the parameters of response models (Q525244) (← links)
• Residual-based specification of the random-effects distribution for cluster data (Q713732) (← links)
• Robustness of cost-effectiveness analyses of cluster randomized trials assuming bivariate normality against skewed cost data (Q830460) (← links)
• Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions (Q887248) (← links)
• Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies (Q957039) (← links)
• Robustness of the linear mixed model to misspecified error distribution (Q1020188) (← links)
• Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution (Q1023681) (← links)
• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data (Q1391997) (← links)
• Notes on testing equality in binary data under a three period crossover design (Q1623697) (← links)
• Inequalities between others do matter: evidence from multiplayer dictator games (Q1651855) (← links)
• Linear mixed models with marginally symmetric nonparametric random effects (Q1658992) (← links)
• Multilevel cumulative logistic regression model with random effects: application to British Social Attitudes Panel Survey data (Q1663292) (← links)
• Random-intercept misspecification in generalized linear mixed models for binary responses (Q1697860) (← links)
• Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics (Q1790317) (← links)
• Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects (Q1796621) (← links)
• New prediction method for the mixed logistic model applied in a marketing problem (Q1800130) (← links)
• An innovative strategy on the construction of multivariate multimodal linear mixed-effects models (Q2008224) (← links)
• Analysing the causal effect of London cycle superhighways on traffic congestion (Q2078321) (← links)
• The role of conditional likelihoods in latent variable modeling (Q2088910) (← links)
• Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes (Q2155025) (← 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)
• Posterior consistency of random effects models for binary data (Q2276171) (← links)
• A goodness-of-fit test for zero-inflated Poisson mixed effects models in tree abundance studies (Q2291326) (← links)
• Generalized linear mixed models with Gaussian mixture random effects: inference and application (Q2293384) (← links)
• The Poisson random effect model for experience ratemaking: limitations and alternative solutions (Q2306087) (← links)
• Modeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model (Q2349557) (← links)
• Modelling and estimation of nonlinear quantile regression with clustered data (Q2416737) (← links)
• Model misspecification effects in clustered count data analysis (Q2489815) (← links)
• Misspecified maximum likelihood estimates and generalized linear mixed models (Q2773180) (← links)
• Augmented beta rectangular regression models: a Bayesian perspective (Q2792773) (← links)
• A caveat on the robustness of composite likelihood estimators: the case of a mis-specified random effect distribution (Q2796873) (← links)
• Diagnostic tests for the distribution of random effects in multivariate mixed effects models (Q2807671) (← links)
• Prediction of Random Effects in Linear and Generalized Linear Models under Model Misspecification (Q3008886) (← links)
• Rejoinder to “A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models” (Q3013998) (← links)
• The effect of misspecification of random effects distributions in clustered data settings with outcome-dependent sampling (Q3174227) (← links)
• A Bayesian transition model for missing longitudinal binary outcomes and an application to a smoking cessation study (Q3386472) (← links)
• Linear mixed function‐on‐function regression models (Q3465355) (← links)
• Bayesian regression model for recurrent event data with event-varying covariate effects and event effect (Q5035734) (← links)
• Notes on misspecifying the random effects distribution regarding analysis under the AB/BA crossover trial in dichotomous data – a Monte Carlo evaluation (Q5087945) (← links)
• (Q5207212) (← links)
• Comparisons of computational methods for clustered binary data (Q5218932) (← links)
• Diagnosing misspecification of the random‐effects distribution in mixed models (Q5347403) (← links)
• The effect of mixing‐distribution misspecification in conjugate mixture models (Q5691189) (← links)
• Bias in Penalized Quasi-Likelihood Estimation in Random Effects Logistic Regression Models When the Random Effects Are not Normally Distributed (Q5697363) (← links)
• Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation (Q6067164) (← links)
• Robust estimation for longitudinal data under outcome‐dependent visit processes (Q6080818) (← links)
• Modelling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures (Q6086487) (← links)