Nonparametric Bounds for the Risk Function.

Nonparametric Bounds for the Risk Function.
Am J Epidemiol. 2019 Jan 29;:
Authors: Cole SR, Hudgens MG, Edwards JK, Brookhart MA, Richardson DB, Westreich D, Adimora AA
Abstract
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., drop out). These bounds are often wide and communicate uncertainty due to possible systemic errors.
PMID: 30698633 [PubMed - as supplied by publisher]

Source: Am J Epidemiol - January 29, 2019 Category: Epidemiology Authors: Cole SR, Hudgens MG, Edwards JK, Brookhart MA, Richardson DB, Westreich D, Adimora AA Tags: Am J Epidemiol Source Type: research