ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2020
Improving External Validity of Epidemiologic Cohort Analyses: A Kernel Weighting Approach.
Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed.
- Adverse Effects of Non-Medical Use of Cannabis or Opioids Associated with Adverse Childhood Experiences.International journal of environmental research and public health · 2026Article
- Risk factors of decisional conflict among people living with chronic pain identified through a pan-Canadian survey.Scientific reports · 2025Article
- Nonparticipation Bias in Accelerometer-Based Studies and the Use of Propensity Scores.Social science computer review · 2025Article
- Positive Childhood Experiences and Adult Health and Opportunity Outcomes in 4 US States.JAMA network open · 2025Article
- On the Use of Auxiliary Variables in Multilevel Regression and Poststratification.Statistical science : a review journal of the Institute of Mathematical Statistics · 2025Article
- Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a Survey on the impact of the COVID-19 pandemic in Spain.Biometrical journal. Biometrische Zeitschrift · 2023Article
- Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates.Journal of official statistics · 2022Article
- Nonparametric Mass Imputation for Data Integration.Journal of survey statistics and methodology · 2022Article
- Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer-based epidemiologic cohorts.Statistics in medicine · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
For various reasons, cohort studies generally forgo probability sampling required to obtain population representative samples. However, such cohorts lack population-representativeness, which invalidates estimates of population prevalences for novel health factors only available in cohorts. To improve external validity of estimates from cohorts, we propose a kernel weighting (KW) approach that uses survey data as a reference to create pseudo-weights for cohorts. A jackknife variance is proposed for the KW estimates. In simulations, the KW method outperformed two existing propensity-score-based weighting methods in mean-squared error while maintaining confidence interval coverage. We applied all methods to estimating US population mortality and prevalences of various diseases from the non-representative US NIH-AARP cohort, using the sample from US-representative National Health Interview Survey (NHIS) as the reference. Assuming that the NHIS estimates are correct, the KW approach yielded generally less biased estimates compared to the existing propensity-score-based weighting methods.
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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.