ArticleAmerican journal of epidemiology2022
On Variance of the Treatment Effect in the Treated When Estimated by Inverse Probability Weighting.
Article in American journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Causal Identification Conditions for the Effect of Treatment in the Treated: Illustration Using the Northwest Germany Stroke Registry.Epidemiology (Cambridge, Mass.) · 2026Article
- Article
- Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study.Health services & outcomes research methodology · 2025Article
- Peer victimization in adolescence alters gene expression and cytokine profiles during transition to adulthood.Brain, behavior, & immunity - health · 2025Article
- Concomitant Comedications and Survival With First-Line Pembrolizumab in Advanced Non-Small-Cell Lung Cancer.JAMA network open · 2025Observational
- Real-world effectiveness of novel hormonal agents and docetaxel in patients with prostate cancer: A head-to-head comparison.iScience · 2025Article
- Empirical Sandwich Variance Estimator for Iterated Conditional Expectation g-Computation.Statistics in medicine · 2024Article
- Estimating the effect of pre-exposure prophylaxis in Black men who have sex with men.International journal of epidemiology · 2024Article
- The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models.Statistical methods in medical research · 2024Article
- Estimating the Effect of PrEP in Black Men Who Have Sex with Men: A Framework to Utilize Data from Multiple Non-Randomized Studies to Estimate Causal Effects.medRxiv : the preprint server for health sciences · 2024Article
- M-estimation for common epidemiological measures: introduction and applied examples.International journal of epidemiology · 2024Article
- Variation in outcomes and practice patterns among patients with localized pancreatic cancer: the impact of the pancreatic cancer multidisciplinary clinic.Frontiers in oncology · 2024Article
- Article
- Estimating the effect of a rifampicin resistant tuberculosis diagnosis by the Xpert MTB/RIF assay on two-year mortality.PLOS global public health · 2023Article
- Targeted Antibiotics for Lower Respiratory Tract Infection withInfection and drug resistance · 2023Article
- Recommendations for the use of propensity score methods in multiple sclerosis research.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Pathologic responses and surgical outcomes after neoadjuvant immunochemotherapy versus neoadjuvant chemoradiotherapy in patients with locally advanced esophageal squamous cell carcinoma.Frontiers in immunology · 2022Article
- On the Conservativeness of Robust Variance Estimators in Propensity Score Weighted Cox Models.Pharmaceutical statisticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In the analysis of observational studies, inverse probability weighting (IPW) is commonly used to consistently estimate the average treatment effect (ATE) or the average treatment effect in the treated (ATT). The variance of the IPW ATE estimator is often estimated by assuming that the weights are known and then using the so-called "robust" (Huber-White) sandwich estimator, which results in conservative standard errors (SEs). Here we show that using such an approach when estimating the variance of the IPW ATT estimator does not necessarily result in conservative SE estimates. That is, assuming the weights are known, the robust sandwich estimator may be either conservative or anticonservative. Thus, confidence intervals for the ATT using the robust SE estimate will not be valid, in general. Instead, stacked estimating equations which account for the weight estimation can be used to compute a consistent, closed-form variance estimator for the IPW ATT estimator. The 2 variance estimators are compared via simulation studies and in a data analysis of the association between smoking and gene expression.
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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 Socratic graph.