Use of Bayesian Markov Chain Monte Carlo Methods to Model Kuwait Medical Genetic Center Data: An Application to Down Syndrome and Mental Retardation

Use of Bayesian Markov Chain Monte Carlo Methods to Model Kuwait Medical Genetic Center Data: An Application to Down Syndrome and Mental Retardation

Logit, probit and complementary log-log models are the most widely used models when binary dependent variables are available. Conventionally, these models have been frequentists. This paper aims to demonstrate how such models can be implemented relatively quickly and easily from a Bayesian framework...

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Bibliographic Details
Main Authors: Reem Aljarallah, Samer A Kharroubi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Mathematics
Subjects:
Bayesian methods
Kuwait Medical Genetic Center
regression modeling
bivariate logistic regression
Markov chain Monte Carlo
Online Access:https://www.mdpi.com/2227-7390/9/3/248

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