Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods
Authors
Keywords
Hierarchical model, Bayesian dose-response, Lifetable analysis, Meta-analysis
Journal
ENVIRONMENT INTERNATIONAL
Volume 145, Issue -, Pages 106111
Publisher
Elsevier BV
Online
2020-09-21
DOI
10.1016/j.envint.2020.106111
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Correction: Chu et al. Inorganic Arsenic in Drinking Water and Bladder Cancer: A Meta-Analysis for Dose-Response Assessment. Int. J. Environ. Res. Public Health 2006, 3(4), 316–322
- (2018) Huei-An Chu et al. International Journal of Environmental Research and Public Health
- Corrigendum to "Quantitative assessment of lung and bladder cancer risk and oral exposure to inorganic arsenic: Meta-regression analyses of epidemiological data" Environmental International 106 :178-206
- (2017) HN. Lynch et al. ENVIRONMENT INTERNATIONAL
- Quantitative assessment of lung and bladder cancer risk and oral exposure to inorganic arsenic: Meta-regression analyses of epidemiological data
- (2017) Heather N. Lynch et al. ENVIRONMENT INTERNATIONAL
- A dose-response meta-analysis of chronic arsenic exposure and incident cardiovascular disease
- (2017) Katherine A Moon et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Relationships between arsenic concentrations in drinking water and lung and bladder cancer incidence in U.S. counties
- (2016) William M Mendez et al. Journal of Exposure Science and Environmental Epidemiology
- Arsenic in drinking water and urinary tract cancers: a systematic review of 30 years of epidemiological evidence
- (2014) Nathalie Saint-Jacques et al. Environmental Health
- Arsenic exposure and bladder cancer: Quantitative assessment of studies in human populations to detect risks at low doses
- (2014) Joyce S. Tsuji et al. TOXICOLOGY
- Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer
- (2013) S. R. Cole et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Dietary arsenic intake and subsequent risk of cancer: the Japan Public Health Center-based (JPHC) Prospective Study
- (2013) Norie Sawada et al. CANCER CAUSES & CONTROL
- Drinking Water Arsenic in Northern Chile: High Cancer Risks 40 Years after Exposure Cessation
- (2013) C. M. Steinmaus et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
- (2013) David C. Goff et al. CIRCULATION
- Polymorphism of inflammatory genes and arsenic methylation capacity are associated with urothelial carcinoma
- (2013) Chia-Chang Wu et al. TOXICOLOGY AND APPLIED PHARMACOLOGY
- Meta-Analysis for Linear and Nonlinear Dose-Response Relations: Examples, an Evaluation of Approximations, and Software
- (2011) Nicola Orsini et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Lifetime exposure to arsenic in drinking water and bladder cancer: a population-based case–control study in Michigan, USA
- (2010) Jaymie R. Meliker et al. CANCER CAUSES & CONTROL
- Arsenic in Drinking Water and Risk of Urinary Tract Cancer: A Follow-up Study from Northeastern Taiwan
- (2010) C.-L. Chen et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Random-effects meta-regression models for studying nonlinear dose-response relationship, with an application to alcohol and esophageal squamous cell carcinoma
- (2010) Matteo Rota et al. STATISTICS IN MEDICINE
- Probabilistic Modeling of Dietary Arsenic Exposure and Dose and Evaluation with 2003–2004 NHANES Data
- (2009) Jianping Xue et al. ENVIRONMENTAL HEALTH PERSPECTIVES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More