ArticleJournal of the American Statistical Association2024
Matching on Generalized Propensity Scores with Continuous Exposures.
Article in Journal of the American Statistical Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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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.
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Who cites it
33 citing papers in PubMed.
- Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects.Current environmental health reports · 2026Review
- Cognitive and affective empathy predict young children's involvement in bullying one year later.JCPP advances · 2026Article
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- Geographic determinants of goods vehicle speeding in British cities.Npj sustainable mobility and transport · 2026Article
- Association of a data-driven nutrient risk score with incident rheumatoid arthritis in UK Biobank adults: a prospective cohort study.Frontiers in immunology · 2026Article
- Pitfalls of Using Negative Control Outcomes in Environmental Epidemiology.Current environmental health reports · 2025Article
- Causal Association of Prenatal Ozone Exposure with Impaired Lung Function in Childhood.Environment & health (Washington, D.C.) · 2025Article
- Dynamic Changes in Metabolic Syndrome Scores and New-Onset Stroke Risk in Middle-Aged and Older Adults: A Nationwide Prospective Cohort Study in China Aligned With Predictive, Preventive, and Personalized Medicine.Journal of the American Heart Association · 2025Article
- Authors' reply to the Discussion of 'Methods for estimating the exposure-response curve to inform the new safety standards for fine particulate matter'.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Causal Concentration-Response Modeling with Continuous Curves and Exposure Error Correction:Environmental health perspectives · 2025Article
- A doubly robust estimator for continuous treatments in high dimensions.BMC medical research methodology · 2025Article
- Causal Effect of Count Treatment on Ordinal Outcome Using Generalized Propensity Score: Application to Number of Antenatal Care and Age Specific Childhood Vaccination.Journal of epidemiology and global health · 2025Article
- Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Comparing traditional and causal inference methodologies for evaluating impacts of long-term air pollution exposure on hospitalization with Alzheimer disease and related dementias.American journal of epidemiology · 2025Article
- A Review of Causal Inference Methods for Estimating the Effects of Exposure Change When Incident Exposure Is Unobservable.Current epidemiology reports · 2024Article
- The association between pre-pregnancy and first-trimester hair cortisol and preterm birth: a causal inference model.European journal of epidemiology · 2024Article
- Evaluation of the causal effect of maternal education on the utilisation of maternal health services in Bangladesh using an observational study - a comparison of different propensity score methods and covariate adjustment.Archives of public health = Archives belges de sante publique · 2024Article
- The effect of air pollution on hospitalizations with Parkinson's disease among medicare beneficiaries nationwide.NPJ Parkinson's disease · 2024Article
- Ambient Air Pollution and Hospitalizations for Schizophrenia in China.JAMA network open · 2024Article
- Childhood PMProceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In the context of a binary treatment, matching is a well-established approach in causal inference. However, in the context of a continuous treatment or exposure, matching is still underdeveloped. We propose an innovative matching approach to estimate an average causal exposure-response function under the setting of continuous exposures that relies on the generalized propensity score (GPS). Our approach maintains the following attractive features of matching: a) clear separation between the design and the analysis; b) robustness to model misspecification or to the presence of extreme values of the estimated GPS; c) straightforward assessments of covariate balance. We first introduce an assumption of identifiability, called local weak unconfoundedness. Under this assumption and mild smoothness conditions, we provide theoretical guarantees that our proposed matching estimator attains point-wise consistency and asymptotic normality. In simulations, our proposed matching approach outperforms existing methods under settings with model misspecification or in the presence of extreme values of the estimated GPS. We apply our proposed method to estimate the average causal exposure-response function between long-term PM
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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.