Bayesian Computation Statistics
Bayesian Semiparametric Meta-Regression Model

Ehsan Ormoz; Farzad Eskandari

Articles in Press, Accepted Manuscript, Available Online from 12 February 2025

https://doi.org/10.22054/jdsm.2025.82599.1057

Abstract
  This paper introduces a novel semiparametric Bayesian approach for bivariate meta-regression. The method extends traditional binomial models to trinomial distributions, accounting for positive, neutral, and negative treatment effects. Using a conditional Dirichlet process, we develop a model to compare ...  Read More

A Bayesian Semiparametric Random Effect Model for Meta-Regression

Ehsan Ormoz

Volume 1, Issue 2 , June 2023, , Pages 205-223

https://doi.org/10.22054/jcsm.2022.69925.1032

Abstract
  In this paper, we will introduce a Bayesian semiparametric model concerned with both constant and coefficients. In Meta-Analysis or Meta-Regression, we usually use a parametric family. However, lately the increasing tendency to use Bayesian nonparametric and semiparametric models, entered this area too. ...  Read More

Bayesian Computation Statistics
Bayesian Nonparametric Bivariate Meta Analysis

Ehsan Ormoz

Volume 1, Issue 1 , December 2022, , Pages 129-141

https://doi.org/10.22054/jcsm.2018.36484.1013

Abstract
  In the meta-analysis of clinical trials, usually the data of each trail summarized by one or more outcome measure estimates which reported along with their standard errors. In the case that summary data are multi-dimensional, usually, the data analysis will be performed in the form of a number of separated ...  Read More