Integrated nested Laplace approximation method for hierarchical Bayesian inference of spatial model with application to functional magnetic resonance imaging data-Reference-Cited by-同舟云学术

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Integrated nested Laplace approximation method for hierarchical Bayesian inference of spatial model with application to functional magnetic resonance imaging data

Published:2020-06-12 Issue: Volume: Page:1-24
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Naseri Parisa¹,Alavi Majd Hamid¹,Tabatabaei Seyyed Mohammad²³⁴

Affiliation:

1. Department of Biostatistics, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran;

2. Medical Informatics Department, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran;

3. Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran;

4. Clinical Research Development Unit, Imam Reza Hospital, University of Medical Sciences, Mashhad, Iran

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2020.1776327

Reference53 articles.

1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

2. Adaptive linear step-up procedures that control the false discovery rate

3. Statistics notes: Multiple significance tests: the Bonferroni method

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