Marginal Structural Models for Risk or Prevalence Ratios for a Point Exposure Using a Disease Risk Score.

Marginal Structural Models for Risk or Prevalence Ratios for a Point Exposure Using a Disease Risk Score.
Am J Epidemiol. 2019 Feb 06;:
Authors: Richardson DB, Keil AP, Kinlaw AC, Cole SR
Abstract
The disease risk score is a summary score that can be used to control for confounding with a potentially large set of covariates. While less widely used than the exposure propensity score, the disease risk score approach may be useful for novel or unusual exposures, when treatment indications or exposure patterns are rapidly changing, or when more is known about the nature of how covariates cause disease than is known about factors influencing propensity for the exposure of interest (sometimes called "treatment"). Focusing on the simple case of a binary point exposure, we describe a marginal structural model for estimation of risk (or prevalence) ratios. The proposed model incorporates the disease risk score as an offset in a regression model, and yields an estimate of a standardized risk ratio where the target population is the exposed group. Simulations are used to illustrate the approach, and an empirical example is provided. Confounder control based on the proposed method may be a useful alternative to approaches based on the exposure propensity score, or as a complement to them.
PMID: 30726868 [PubMed - as supplied by publisher]

Source: Am J Epidemiol - February 6, 2019 Category: Epidemiology Authors: Richardson DB, Keil AP, Kinlaw AC, Cole SR Tags: Am J Epidemiol Source Type: research