Bayesian semiparametric mixed effects models for meta‐analysis of the literature data : An application to cadmium toxicity studies-Reference-Cited by-同舟云学术

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Bayesian semiparametric mixed effects models for meta‐analysis of the literature data : An application to cadmium toxicity studies

Published:2021-04-27 Issue:16 Volume:40 Page:3762-3778
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Jo Seongil¹,Park Beomjo²,Chung Yeonseung³,Kim Jeongseon⁴,Lee Eunji⁵,Lee Jangwon⁵,Choi Taeryon⁵^ORCID

Affiliation:

1. Department of Statistics Inha University Incheon Republic of Korea

2. Department of Statistics & Data Science Carnegie Mellon University Pittsburgh Pennsylvania USA

3. Department of Mathematical Science Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

4. Department of Cancer Biomedical Science National Cancer Center Goyang Republic of Korea

5. Department of Statistics Korea University Seoul Republic of Korea

Funder

National Research Foundation

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8996

Reference45 articles.

1. Cadmium and renal cancer

2. Renal effects of cadmium body burden of the general population

3. Current status of cadmium as an environmental health problem

4. Cadmium Exposure and Cancer Mortality in a Prospective Cohort: The Strong Heart Study

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