An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records-Reference-Cited by-同舟云学术

An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records

Published:2020-03-20 Issue:14 Volume:39 Page:1965-1979
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Beesley Lauren J.¹^ORCID,Fritsche Lars G.¹,Mukherjee Bhramar¹

Affiliation:

1. Department of Biostatistics University of Michigan Ann Arbor Michigan USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8524

Reference26 articles.

1. BeesleyLJ SalvatoreM FritscheLG et al. The emerging landscape of epidemiological research based on biobanks linked to electronic health records existing resources analytic challenges and potential opportunities;2018:1–35.

2. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations

3. Electronic health records: the next wave of complex disease genetics

4. R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment

5. Validation of Electronic Health Record Phenotyping of Bipolar Disorder Cases and Controls

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