Search
Search Results
-
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects
We propose a discrete random effects multinomial regression model to deal with estimation and inference issues in the case of categorical and...
-
V-optimality of designs in random effects Poisson regression models
The knowledge of the Fisher information is a fundamental tool to judge the quality of an experiment. Unlike in linear and generalized linear models...
-
mind, A methodology for multivariate small area estimation with multiple random effects
This paper describes a small area estimator based on a multivariate linear mixed model implemented in the R Package mind . The method is a...
-
Treatment Effects Estimation with Missing not at Random Data Without Outcome Modeling
When we study treatment effects in observational studies, we often face two problems: confounding and missing data. To properly estimate the...
-
Inference of random effects for linear mixed-effects models with a fixed number of clusters
We consider a linear mixed-effects model with a clustered structure, where the parameters are estimated using maximum likelihood (ML) based on...
-
Quantile regression in random effects meta-analysis model
In meta-analysis model, due to the appearance of publication bias or outliers, as well as the small sample size, the normal assumption is usually...
-
Inference using an exact distribution of test statistic for random-effects meta-analysis
Random-effects meta-analysis serves to integrate the results of multiple studies with methods such as moment estimation and likelihood estimation...
-
A Random-Effects Regression Model Based on the Odd Log-Logistic Skew Normal Distribution
Regression models with random effects are quite common when the data have a longitudinal or grouped structure for more flexible estimation of the...
-
Analysis of Two - Part Random Effects Model for Semi-Ordinal Longitudinal Response
We have proposed a new variable called semi-ordinal variable. This variable exhibits a combination of responses, with a portion of them taking on...
-
Robust order selection of mixtures of regression models with random effects
Finite mixtures of regression models with random effects are a very flexible statistical tool to model data, as these models allow to model the...
-
Marginalized random-effects models for clustered binomial data through innovative link functions
Random-effects models are frequently used to analyze clustered binomial data. The direct computation of the marginal mean response, when integrated...
-
A Bayesian Solution to Non-convergence of Crossed Random Effects Models
Crossed random effects models can simultaneously take into account both fixed effects and random effects of the subjects and stimuli when...
-
Selecting an Augmented Random Effects Model
AbstractThere are many collaborative studies where the data are discrepant while uncertainty estimates reported in each study cannot be relied upon....
-
Optimal designs for discrete-time survival models with random effects
This paper considers the optimal design for the frailty model with discrete-time survival endpoints in longitudinal studies. We introduce the random...
-
Assessing a Binary Measurement System with Operator and Random Part Effects
Consider the assessment of a binary measurement system with multiple operators when a gold standard measurement system is also available (for the...
-
Modeling Longitudinal Microbiome Compositional Data: A Two-Part Linear Mixed Model with Shared Random Effects
Longitudinal microbiome studies have been widely used to unveil the dynamics in the complex host-microbial ecosystems. Modeling the longitudinal...
-
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients
This paper proposes an innovative statistical method to measure the impact of the class/school on student achievements in multiple subjects. We...
-
Nonparametric Estimation for Stochastic Differential Equations Driven by Mixed Fractional Brownian Motion with Random Effects
We discuss nonparametric estimation of the density of random effects in models governed by a stochastic differential equation driven by a mixed...
-
Bayesian cumulative logit random effects models with ARMA random effects covariance matrix
In order to analyze longitudinal ordinal data, researchers commonly use the cumulative logit random effects model. In these models, the random...
