ArticleThe annals of applied statistics2021
ROBUST INFERENCE WHEN COMBINING INVERSE-PROBABILITY WEIGHTING AND MULTIPLE IMPUTATION TO ADDRESS MISSING DATA WITH APPLICATION TO AN ELECTRONIC HEALTH RECORDS-BASED STUDY OF BARIATRIC SURGERY.
Article in The annals of applied statistics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 8 citations in OpenAlex.
- Alzheimer's disease polygenic risk, APOE ε4 dose, and accelerometer-derived circadian rest-activity rhythms in relation to incident dementia and Alzheimer's disease in UK Biobank: a prospective cohort study.Alzheimer's research & therapy · 2026Article
- Adjusting for selection bias due to missing eligibility criteria in emulated target trials.American journal of epidemiology · 2025Article
- A two-stage joint model approach to handle incomplete time dependent markers in survival data through inverse probability weight and multiple imputation.Scientific reports · 2025Article
- Adjusting for Selection Bias Due to Missing Data in Electronic Health Records-Based Research by Blending Multiple Imputation and Inverse Probability Weighting.Statistics in medicine · 2025Article
- ROBUST INFERENCE WHEN COMBINING INVERSE-PROBABILITY WEIGHTING AND MULTIPLE IMPUTATION TO ADDRESS MISSING DATA WITH APPLICATION TO AN ELECTRONIC HEALTH RECORDS-BASED STUDY OF BARIATRIC SURGERY.The annals of applied statistics · 2021Article
- Risk and Resilience Trajectories from Adverse Childhood Experience Among Men Who Have Sex with Men Living with HIV.Behavioral medicine (Washington, D.C.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
While electronic health records present a rich and promising data source for observational research, they are highly susceptible to missing data. For settings like these, Seaman et al. (
Indexed as
Identifiers
What OpenQuestion holds
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.