ArticleAmerican journal of epidemiology2014
A double robust approach to causal effects in case-control studies.
Article in American journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Use of causal inference methods in case-control studies: a methodology review.American journal of epidemiology · 2026Review
- Article
- Evaluating the heterogeneous effect of a modifiable risk factor on suicide: The case of vitamin D deficiency.International journal of methods in psychiatric research · 2022Observational
- Relation of Pre-Stroke Aspirin Use With Cerebral Infarct Volume and Functional Outcomes.Annals of neurology · 2021Article
- The causal effect and impact of reproductive factors on breast cancer using super learner and targeted maximum likelihood estimation: a case-control study in Fars Province, Iran.BMC public health · 2021Article
- Understanding Marginal Structural Models for Time-Varying Exposures: Pitfalls and Tips.Journal of epidemiology · 2020Article
- Anticholinergic drugs and risk of dementia: case-control study.BMJ (Clinical research ed.) · 2018Article
- Estimation of the marginal effect of regular drug use on multiple sclerosis in the Iranian population.PloS one · 2018Article
- Matching and Imputation Methods for Risk Adjustment in the Health Insurance Marketplaces.Statistics in biosciences · 2017Article
- Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research.Epidemiology (Cambridge, Mass.) · 2016Article
- Invited commentary: Some advantages of the relative excess risk due to interaction (RERI)--towards better estimators of additive interaction.American journal of epidemiology · 2014Article
- Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction".American journal of epidemiology · 2014Article
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2 authors.
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Abstract
In a recent issue of the Journal, VanderWeele and Vansteelandt (Am J Epidemiol. 2011;174(10):1197-1203) discussed an inverse probability weighting method for case-control studies that could be used to estimate an additive interaction effect, referred to as the "relative excess risk due to interaction." In this article, we reinforce the well-known disadvantages of inverse probability weighting and comment on the desirability of the described parameter. Further, we review an existing double robust estimator not considered by VanderWeele and Vansteelandt, the case-control-weighted targeted maximum likelihood estimator, which has improved properties in comparison with a previously described inverse-probability-weighted estimator. This targeted maximum likelihood estimator can be used to target various parameters of interest, and its implementation has been described previously for the risk difference, relative risk, and odds ratio.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.