Results 111 to 120 of about 619 (134)

Additional file 1: of Disentangling the roles of maternal and paternal age on birth prevalence of Down syndrome and other chromosomal disorders using a Bayesian modeling approach

, 2019
Model 1. Maternal Age Random-walk (CAR). OpenBUGS code and data that can be used to repeat the analyses for Model 1.
James Thompson (88730)
core   +1 more source

Comparing Bayesian regression and classic zero-inflated negative binomial on size estimation of people who use alcohol

Journal of Biostatistics and Epidemiology, 2017
Background & Aim: Nowadays, we have some data in different sciences which number of zeros is more than expected, such data are called zero-inflated which can be modeled by regressions for count data.
Sepideh Roohi, Mohammad Reza Baneshi, Alireza Noroozi, Ahmad Hajebi, Abbas Bahrampour   +4 more
doaj  

Cuts in Bayesian graphical models

, 2015
The cut function defined by the OpenBUGS software is described as a “valve” that prevents feedback in Bayesian graphical models. It is shown that the MCMC algorithm applied by OpenBUGS in the presence of a cut function does not converge to a well-defined
Plummer, Martyn
core   +1 more source

Additional file 5: of Disentangling the roles of maternal and paternal age on birth prevalence of Down syndrome and other chromosomal disorders using a Bayesian modeling approach

, 2019
Linear. Fully conditional modeling of maternal and paternal ages as linear. OpenBUGS code and data that can be used to repeat the analyses for maternal and paternal ages as linear.
James Thompson (88730)
core   +1 more source

Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model

مجله اپیدمیولوژی ایران, 2017
Background and Objectives: Tuberculosis is the most common cause of death among single-factor infectious diseases and is the tenth cause of death among all diseases in the world.
SH Seyedagha, A Kavousi, AR Baghestani, M Nasehi   +3 more
doaj  

Bayesian Approaches in Oncology Using R and OpenBUGS

, 2020
Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the
Bhattacharjee, Atanu, Atanu Bhattacharjee   +1 more
exaly   +4 more sources

Modelling and Estimating Heterogeneous Variances in Threshold Models for Ordinal Discrete Data via Winbugs/Openbugs

Computer Methods and Programs in Biomedicine, 2010
Analysis of discrete repeated outcomes is an important issue in biomedical studies. The aim of this paper is to propose a flexible and parsimonious model to account for heterogeneous variances for discrete outcomes. The proposed method is based on the use of a linear mixed model on the log of the standard deviation parameters.
Florence Jaffrézic, Jean-Louis Foulley
exaly   +7 more sources

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Bayesian Analysis for Multiple-Baseline Studies Where the Variance Differs Across Cases in OpenBUGS

Developmental Neurorehabilitation, 2021
Objective: There is a growing interest in the potential benefits of applying Bayesian estimation for multilevel models of SCED data. Methodological studies have shown that Bayesian estimation resolves convergence issues, can be adequate for the small sample, and can improve the accuracy of the variance components.
Eunkyeng Baek, John M Ferron
exaly   +3 more sources

BRugs/OpenBUGS

2021
exaly   +2 more sources

Introduction to R and OpenBUGS

2020
exaly   +2 more sources