Identification of confounder in epidemiologic data contaminated by measurement error in covariates
Abstract Background Common methods for confounder identification such as directed acyclic graphs (DAGs), hypothesis testing, or a 10 % change-in-estimate (CIE) criterion for estimated associations may not be applicable due to (a) insufficient knowledge to draw a DAG and (b) when adjustment for a tru...
Main Authors: | Paul H. Lee, Igor Burstyn |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2016-05-01
|
Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-016-0159-6 |
Similar Items
-
A novel method for controlling unobserved confounding using double confounders
by: Lu Liu, et al.
Published: (2020-07-01) -
Causality, Confounding, and Simpson's Paradox
by: Asad Zaman, et al.
Published: (2020-06-01) -
Confounding in Studies on Metacognition: A Preliminary Causal Analysis Framework
by: Borysław Paulewicz, et al.
Published: (2020-08-01) -
On the bias of adjusting for a non-differentially mismeasured discrete confounder
by: Peña Jose M., et al.
Published: (2021-09-01) -
Confounding Equivalence in Causal Inference
by: Pearl Judea, et al.
Published: (2014-03-01)