The Use of Score Tests for Inference on Variance Components
From MaRDI portal
Publication:3079106
DOI10.1111/1541-0420.00032zbMath1210.62013OpenAlexW2075870737WikidataQ44554495 ScholiaQ44554495MaRDI QIDQ3079106
Geert Molenberghs, Geert Verbeke
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/1942/415
Related Items
The Use of Permutation Tests for Variance Components in Linear Mixed Models ⋮ Confidence regions near singular information and boundary points with applications to mixed models ⋮ Score tests for zero-inflation and overdispersion in two-level count data ⋮ Penalized likelihood ratio tests for repeated measurement models ⋮ \(U\)-tests for variance components in linear mixed models ⋮ Bayesian variable selection for mixed effects model with shrinkage prior ⋮ Bounded M-O extended exponential distribution with applications ⋮ Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates ⋮ Assessment of variance components in nonlinear mixed-effects elliptical models ⋮ Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach ⋮ Revisiting the analysis pipeline for overdispersed Poisson and binomial data ⋮ Testing for autocorrelation and random-effects in nonlinear mixed effects models based on M-estimation ⋮ Estimating precision, repeatability, and reproducibility from Gaussian and non- Gaussian data: a mixed models approach ⋮ Testing variance components in balanced linear growth curve models ⋮ A joint marginalized multilevel model for longitudinal outcomes ⋮ Nonlinear random-effects mixture models for repeated measures ⋮ Additive multilevel item structure models with random residuals: item modeling for explanation and item generation ⋮ A variance shift model for detection of outliers in the linear mixed model ⋮ Estimating negative variance components from Gaussian and non-Gaussian data: a mixed models approach ⋮ PC priors for residual correlation parameters in one-factor mixed models ⋮ Negative variance components for non-negative hierarchical data with correlation, over-, and/or underdispersion ⋮ A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures ⋮ One-sided tests in shared frailty models ⋮ Linear Score Tests for Variance Components in Linear Mixed Models and Applications to Genetic Association Studies ⋮ Bayesian nonparametric centered random effects models with variable selection ⋮ Parameter estimation and inference in the linear mixed model ⋮ Testing for random effects in linear mixed models for longitudinal data under moment conditions ⋮ Fixed and Random Effects Selection in Linear and Logistic Models ⋮ A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models ⋮ Permutation Tests for Random Effects in Linear Mixed Models ⋮ Bayesian Semiparametric Frailty Selection in Multivariate Event Time Data ⋮ Generalized score test of homogeneity for mixed effects models ⋮ Bootstrap tests for variance components in generalized linear mixed models ⋮ Testing homogeneity of effect sizes in pooling 2x2 contingency tables from multiple studies: a comparison of methods ⋮ A note on a hierarchical interpretation for negative variance components ⋮ Tests for independence in a bivariate negative binomial model ⋮ Likelihood ratio tests for variance components in linear mixed models ⋮ Score tests for overdispersion in the bivariate negative binomial models ⋮ Arbitrariness of models for augmented and coarse data, with emphasis on incomplete data and random effects models ⋮ Assessment of variance components in elliptical linear mixed models ⋮ A model for overdispersed hierarchical ordinal data ⋮ Hypothesis testing in the unrestricted and restricted parametric spaces of structural models ⋮ Testing Random Effects in the Linear Mixed Model Using Approximate Bayes Factors ⋮ Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models ⋮ On testing the hidden heterogeneity in negative binomial regression models ⋮ On Variance Components in Semiparametric Mixed Models for Longitudinal Data ⋮ Testing random effects in linear mixed models: another look at the F‐test (with discussion) ⋮ Sample size calculations for the differential expression analysis of RNA-seq data using a negative binomial regression model ⋮ A pairwise likelihood approach to generalized linear models with crossed random effects ⋮ Improved \(U\)-tests for variance components in one-way random effects models ⋮ Multivariatetlinear mixed models for irregularly observed multiple repeated measures with missing outcomes ⋮ Multilevel mixed linear models for survival data ⋮ Testing for Heteroscedasticity and/or Autocorrelation in Longitudinal Mixed Effect Nonlinear Models with AR(1) Errors
Cites Work
- Unnamed Item
- Random-Effects Models for Longitudinal Data
- Asymptotic properties of maximum likelihood estimates in the mixed model of the analysis of variance
- Order-restricted score tests for homogeneity in generalised linear and nonlinear mixed models
- Detecting Interaction Between Random Region and Fixed Age Effects in Disease Mapping
- Tests of Homogeneity for Generalized Linear Models
- Hypothesis tests for normal means constrained by linear inequalities
- A locally most powerful test for homogeneity with many strata
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Towards a Unified Theory of Inequality Constrained Testing in Multivariate Analysis
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
- The Problem of Negative Estimates of Variance Components
- The Effect of Drop-Out on the Efficiency of Longitudinal Experiments
- Analysis of Proportions in the Presence of over-/under-Dispersion
- Score tests for overdispersion in poisson regression models
- A comparison of tests for overdispersion in generalized linear models
- Tests to Detect Clustering of Infected Individuals within Families
- Variance component testing in generalised linear models with random effects
- Some remarks on overdispersion
- Tests for Variation Over Groups in Survival Data
- A Score Test Against One-Sided Alternatives
- Testing and Adjusting for Departures from Nominal Dispersion in Generalized Linear Models
- Variance Components Testing in the Longitudinal Mixed Effects Model
- Testing the Fit of a Regression Model Via Score Tests in Random Effects Models
- The interpretation of negative components of variance
- On the Distribution of the Likelihood Ratio