Nonparametric Bounds for the Risk Function.
Journal Article (Journal Article)
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.
- Cole, SR; Hudgens, MG; Edwards, JK; Brookhart, MA; Richardson, DB; Westreich, D; Adimora, AA
- April 1, 2019
Volume / Issue
- 188 / 4
Start / End Page
- 632 - 636
Pubmed Central ID
Electronic International Standard Serial Number (EISSN)
Digital Object Identifier (DOI)
- United States