Nonparametric Bounds for the Risk Function.
Publication
, Journal Article
Cole, SR; Hudgens, MG; Edwards, JK; Brookhart, MA; Richardson, DB; Westreich, D; Adimora, AA
Published in: Am J Epidemiol
April 1, 2019
Nonparametric bounds for the risk difference are straightforward to calculate and make no untestable assumptions about unmeasured confounding or selection bias due to missing data (e.g., dropout). These bounds are often wide and communicate uncertainty due to possible systemic errors. An illustrative example is provided.
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Published In
Am J Epidemiol
DOI
EISSN
1476-6256
Publication Date
April 1, 2019
Volume
188
Issue
4
Start / End Page
632 / 636
Location
United States
Related Subject Headings
- Statistics, Nonparametric
- Selection Bias
- Risk Assessment
- Humans
- Epidemiology
- Epidemiologic Research Design
- Confounding Factors, Epidemiologic
- 4202 Epidemiology
- 11 Medical and Health Sciences
- 01 Mathematical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Cole, S. R., Hudgens, M. G., Edwards, J. K., Brookhart, M. A., Richardson, D. B., Westreich, D., & Adimora, A. A. (2019). Nonparametric Bounds for the Risk Function. Am J Epidemiol, 188(4), 632–636. https://doi.org/10.1093/aje/kwz013
Cole, Stephen R., Michael G. Hudgens, Jessie K. Edwards, M Alan Brookhart, David B. Richardson, Daniel Westreich, and Adaora A. Adimora. “Nonparametric Bounds for the Risk Function.” Am J Epidemiol 188, no. 4 (April 1, 2019): 632–36. https://doi.org/10.1093/aje/kwz013.
Cole SR, Hudgens MG, Edwards JK, Brookhart MA, Richardson DB, Westreich D, et al. Nonparametric Bounds for the Risk Function. Am J Epidemiol. 2019 Apr 1;188(4):632–6.
Cole, Stephen R., et al. “Nonparametric Bounds for the Risk Function.” Am J Epidemiol, vol. 188, no. 4, Apr. 2019, pp. 632–36. Pubmed, doi:10.1093/aje/kwz013.
Cole SR, Hudgens MG, Edwards JK, Brookhart MA, Richardson DB, Westreich D, Adimora AA. Nonparametric Bounds for the Risk Function. Am J Epidemiol. 2019 Apr 1;188(4):632–636.
Published In
Am J Epidemiol
DOI
EISSN
1476-6256
Publication Date
April 1, 2019
Volume
188
Issue
4
Start / End Page
632 / 636
Location
United States
Related Subject Headings
- Statistics, Nonparametric
- Selection Bias
- Risk Assessment
- Humans
- Epidemiology
- Epidemiologic Research Design
- Confounding Factors, Epidemiologic
- 4202 Epidemiology
- 11 Medical and Health Sciences
- 01 Mathematical Sciences