On the Use of a Logistic Regression Model in the Gene-Environment Problem: A Bayesian Approach-Reference-Cited by-同舟云学术

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On the Use of a Logistic Regression Model in the Gene-Environment Problem: A Bayesian Approach

Published:2019-03-04 Issue:4 Volume:38 Page:363-372
ISSN:0196-6324
Container-title:American Journal of Mathematical and Management Sciences
language:en
Short-container-title:American Journal of Mathematical and Management Sciences

Author:

Gupta Akanksha¹,Upadhyay S. K.¹

Affiliation:

1. Department of Statistics & DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,General Business, Management and Accounting

Link

https://www.tandfonline.com/doi/pdf/10.1080/01966324.2019.1570406

Reference19 articles.

1. Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies

2. Multiple Imputation of Industry and Occupation Codes in Census Public-use Samples Using Bayesian Logistic Regression

3. Model choice: a minimum posterior predictive loss approach

4. A weakly informative default prior distribution for logistic and other regression models

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1. Analysis of Wide Modified Rankin Score Dataset using Markov Chain Monte Carlo Simulation;International Journal of Statistics in Medical Research;2024-01-18

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