2008
DOI: 10.1186/1471-2288-8-70
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Reducing bias through directed acyclic graphs

Abstract: BackgroundThe objective of most biomedical research is to determine an unbiased estimate of effect for an exposure on an outcome, i.e. to make causal inferences about the exposure. Recent developments in epidemiology have shown that traditional methods of identifying confounding and adjusting for confounding may be inadequate.DiscussionThe traditional methods of adjusting for "potential confounders" may introduce conditional associations and bias rather than minimize it. Although previous published articles ha… Show more

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Cited by 1,158 publications
(898 citation statements)
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“…Subsequently, CRP, TAS-20, and BDI-II scores were entered into the same model in succession. Variables to be entered as potential confounders into the final model were selected from those that exhibited a significant correlation with perceived pain and any of the TAS-20, BDI-II, or CRP scores (31).…”
Section: Significance and Innovationsmentioning
confidence: 99%
“…Subsequently, CRP, TAS-20, and BDI-II scores were entered into the same model in succession. Variables to be entered as potential confounders into the final model were selected from those that exhibited a significant correlation with perceived pain and any of the TAS-20, BDI-II, or CRP scores (31).…”
Section: Significance and Innovationsmentioning
confidence: 99%
“…We identified potential confounders using a 166 directed acyclic graph (Shrier and Platt 2008): maternal age at delivery, pre-pregnancy body 167 weight, gestational weight gain, parity, socioeconomic status measured using the Hollingshead 168…”
mentioning
confidence: 99%
“…For comparisons with the literature, we nevertheless report the main findings in terms of prevalence rate ratios in Online Appendix C. All models were fitted in Stata 13 using the -gsem-suite of commands 54 as well as the user-written routine -gllamm-. 55,56 To guide model building and classification of covariates' likely role as confounders or mediators of neighborhood SES association with access to care, we constructed a simple directed acyclic graph (DAG) 57,58 of the potential causal structure underlying this association (Fig. 1).…”
Section: Discussionmentioning
confidence: 99%