We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
The Effect of Error-in-Confounders on the Estimation of the Causal Parameter When Using Marginal Structural Models and Inverse Probability-of-Treatment Weights: A Simulation Study.
- Authors
Regier, Michael D.; Moodie, Erica E. M.; Platt, Robert W.
- Abstract
We performed an empirical study to evaluate the effect of mismeasured continuous confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weighting. By executing an extensive simulation using 500 randomly generated parameter value combinations within a defined space, we observed the well-understood effects of attenuation and augmentation, and two unanticipated effects: null effects and sign reversals. We implemented a secondary empirical study to further investigate the sign reversal effect. We use the results of our study to identify conceptual similarities between the analytic and empirical results for multivariable linear and logistic regression, and our empirical results. Through this synthesis, we have been able to suggest feasible directions of research as well as outline the form of expected results.
- Subjects
TREATMENT effectiveness; MEDICAL errors; STRUCTURAL frame models; SIMULATION methods &; models; CENSORING (Statistics); EMPIRICAL research
- Publication
International Journal of Biostatistics, 2014, Vol 10, Issue 1, p1
- ISSN
1557-4679
- Publication type
Article
- DOI
10.1515/ijb-2012-0039