Bayesian Profile Regression to Deal With Multiple Highly Correlated Exposures and a Censored Survival Outcome. First Application in Ionizing Radiation Epidemiology-Reference-Cited by-同舟云学术

Bayesian Profile Regression to Deal With Multiple Highly Correlated Exposures and a Censored Survival Outcome. First Application in Ionizing Radiation Epidemiology

Published:2020-10-27 Issue: Volume:8 Page:
ISSN:2296-2565
Container-title:Frontiers in Public Health
language:
Short-container-title:Front. Public Health

Author:

Belloni Marion,Laurent Olivier,Guihenneuc Chantal,Ancelet Sophie

Publisher

Frontiers Media SA

Subject

Public Health, Environmental and Occupational Health

Reference71 articles.

1. The exposome-exciting opportunities for discoveries in reproductive and perinatal epidemiology;Buck Louis;Paediatr Perinat Epidemiol,2013

2. The blood exposome and its role in discovering causes of disease;Rappaport;Environ Health Perspect,2014

3. The exposome: a new paradigm to study the impact of environment on health;Vrijheid;Thorax,2014

4. Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology;Wild;Cancer Epidemiol Biomark Prev,2005

5. The exposome: from concept to utility;Wild;Int J Epidemiol,2012

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian identification and estimation of radon-related increased hazard rates of cancer death in the updated French cohort of uranium miners (1946–2014);International Archives of Occupational and Environmental Health;2024-09-13

2. Multi-pollutant exposure profiles associated with breast cancer risk: A Bayesian profile regression analysis in the French E3N cohort;Environment International;2024-08

3. Influence of the atmospheric environment on spatial variation of lung cancer incidence in China;PLOS ONE;2024-06-18

4. Evaluating county-level lung cancer incidence from environmental radiation exposure, PM2.5, and other exposures with regression and machine learning models;Environmental Geochemistry and Health;2024-02-17

5. Multi-Pollutant Exposure Profiles Associated with Breast Cancer Risk: A Bayesian Profile Regression Analysis in the French E3n Cohort;2024