Using Instrumental Variables to Address Bias From Unobserved Confounders.
Publication
, Journal Article
Maciejewski, ML; Brookhart, MA
Published in: Jama
June 4, 2019
Duke Scholars
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Published In
Jama
DOI
EISSN
1538-3598
Publication Date
June 4, 2019
Volume
321
Issue
21
Start / End Page
2124 / 2125
Location
United States
Related Subject Headings
- Statistics as Topic
- Randomized Controlled Trials as Topic
- Humans
- General & Internal Medicine
- Data Interpretation, Statistical
- Confounding Factors, Epidemiologic
- Biomedical Research
- Bias
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Maciejewski, M. L., & Brookhart, M. A. (2019). Using Instrumental Variables to Address Bias From Unobserved Confounders. Jama, 321(21), 2124–2125. https://doi.org/10.1001/jama.2019.5646
Maciejewski, Matthew L., and M Alan Brookhart. “Using Instrumental Variables to Address Bias From Unobserved Confounders.” Jama 321, no. 21 (June 4, 2019): 2124–25. https://doi.org/10.1001/jama.2019.5646.
Maciejewski ML, Brookhart MA. Using Instrumental Variables to Address Bias From Unobserved Confounders. Jama. 2019 Jun 4;321(21):2124–5.
Maciejewski, Matthew L., and M. Alan Brookhart. “Using Instrumental Variables to Address Bias From Unobserved Confounders.” Jama, vol. 321, no. 21, June 2019, pp. 2124–25. Pubmed, doi:10.1001/jama.2019.5646.
Maciejewski ML, Brookhart MA. Using Instrumental Variables to Address Bias From Unobserved Confounders. Jama. 2019 Jun 4;321(21):2124–2125.
Published In
Jama
DOI
EISSN
1538-3598
Publication Date
June 4, 2019
Volume
321
Issue
21
Start / End Page
2124 / 2125
Location
United States
Related Subject Headings
- Statistics as Topic
- Randomized Controlled Trials as Topic
- Humans
- General & Internal Medicine
- Data Interpretation, Statistical
- Confounding Factors, Epidemiologic
- Biomedical Research
- Bias
- 11 Medical and Health Sciences