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Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition
A Bayesian latent variable model of random effect analyzing mixed correlated rank and overdispersed binomial responses with potentially non-random...
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A Generalization of the Spatial Binary Model to the Longitudinal Spatial Setup
When spatial data are repeatedly collected over a short period of time, they exhibit two-way correlations. More specifically at a given point of time...
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Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses
In many clinical trials, patient outcomes are often binary-valued which are measured asynchronously over time across various dose levels. To account...
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Fixed versus Mixed Effects Based Marginal Models for Clustered Correlated Binary Data: an Overview on Advances and Challenges
In a cross-sectional cluster setup, the binary responses from the individuals in a cluster become correlated as they share a common cluster effect,...
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Binary Data
Many of the results derived under the assumption that observations are continuously distributed extend to dichotomous and categorical responses....
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Multivariate distributions of correlated binary variables generated by pair-copulas
Correlated binary data are prevalent in a wide range of scientific disciplines, including healthcare and medicine. The generalized estimating...
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Cluster Correlations and Complexity in Binary Regression Analysis Using Two-stage Cluster Samples
In a two-stage cluster sampling setup for binary data, a sample of clusters such as hospitals is chosen at the first stage from a large number of...
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Partitioned method of valid moment marginal model with Bayes interval estimates for correlated binary data with time-dependent covariates
The fit of marginal models to longitudinal data should include modelling all extra variation among responses and covariates. This paper proposes a...
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Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data
We propose a generalized mixed-effects model based on t -process for longitudinal correlated binary data. The correlations among repeated binary...
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A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread
It is often of primary interest to analyze and forecast the levels of a continuous phenomenon as a categorical variable. In this paper, we propose a...
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New Confidence Intervals for Relative Risk of Two Correlated Proportions
Biomedical studies, such as clinical trials, often require the comparison of measurements from two correlated tests in which each unit of observation...
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A Test for Multiple Binary Endpoints with Continuous Latent Distribution in Clinical Trials
In clinical trials, two or more binary responses obtained by dichotomizing continuous responses are often employed as multiple primary endpoints....
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Group and Time Differences in Repeatedly Measured Binary Symptom Indicators: Matched Correspondence Analysis
Examining group and time differences in binary indicators becomes complicated when two groups are repeatedly measured with interrelated binary...
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Pretest and shrinkage estimation of the regression parameter vector of the marginal model with multinomial responses
Generalized Estimating Equations (GEE) approach has become a popular method that is applied for correlated categorical multinomial responses data in...
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Advances in Maximum Likelihood Estimation of Fixed-Effects Binary Panel Data Models
We review recent fixed-effects approaches to the formulation and estimation of models for binary panel data, measured at T time occasions. We offer a...
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Models for Ordinal Responses
In the preceding chapters, our focus has been on modeling choices in situations where decision-makers are faced with a set of binomial or multinomial...
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Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables
The aim of this paper is to estimate the effects of seeking medical care on missing work. Specifically, our case study explores the question: Does...
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Bayesian finite-population inference with spatially correlated measurements
Community-based public health interventions often rely on representative, spatially referenced outcome data to draw conclusions about a finite...
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Min–max crossover designs for two treatments binary and poisson crossover trials
In this article min–max crossover designs for binary and Poisson crossover trials with two treatments are proposed. Models with and without carryover...
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A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures
In this paper, we propose a family of correlation structures for crossover designs with repeated measures for both, Gaussian and non-Gaussian...
