ArticleAmerican journal of epidemiology2023
Illustration of 2 Fusion Designs and Estimators.
Article in American journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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Who cites it
15 citing papers in PubMed.
- Combining Observational Studies to Reduce Multiple Biases.Epidemiology (Cambridge, Mass.) · 2026Article
- Towards a Unified Theory for Semiparametric Data Fusion with Individual-Level Data.Annals of statistics · 2026Article
- An Introduction to Longitudinal Synthetic Cohorts for Studying the Life Course Drivers of Health Outcomes and Inequalities in Older Age.Current epidemiology reports · 2025Article
- Comparing existing and novel methods for estimating etiology-specific diarrheal disease incidence in hybrid surveillance studies.medRxiv : the preprint server for health sciences · 2025Article
- A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations.American journal of epidemiology · 2025Article
- Bridged treatment comparisons: an illustrative application in HIV treatment.American journal of epidemiology · 2025Article
- A minimal nontrivial example of higher-order evidence.American journal of epidemiology · 2025Article
- Efficient risk-based collection of biospecimens in cohort studies: designing a prospective study of diagnostic performance for multicancer detection tests.American journal of epidemiology · 2025Article
- Overcoming Data Gaps in Life Course Epidemiology by Matching Across Cohorts.Epidemiology (Cambridge, Mass.) · 2024Article
- Invited Commentary: Combining Information to Answer Epidemiologic Questions About a Target Population.American journal of epidemiology · 2024Article
- Cole et al. Respond to "Combining Information From Diverse Sources".American journal of epidemiology · 2024Article
- Fusing trial data for treatment comparisons: Single vs multi-span bridging.Statistics in medicine · 2024Article
- M-estimation for common epidemiological measures: introduction and applied examples.International journal of epidemiology · 2024Article
- Higher-order evidence.European journal of epidemiology · 2024Article
- Identifying occupational health inequities in the absence of suitable data: are there inequities in access to adequate bathrooms in US workplaces?Occupational and environmental medicine · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
"Fusion" study designs combine data from different sources to answer questions that could not be answered (as well) by subsets of the data. Studies that augment main study data with validation data, as in measurement-error correction studies or generalizability studies, are examples of fusion designs. Fusion estimators, here solutions to stacked estimating functions, produce consistent answers to identified research questions using data from fusion designs. In this paper, we describe a pair of examples of fusion designs and estimators, one where we generalize a proportion to a target population and one where we correct measurement error in a proportion. For each case, we present an example motivated by human immunodeficiency virus research and summarize results from simulation studies. Simulations demonstrate that the fusion estimators provide approximately unbiased results with appropriate 95% confidence interval coverage. Fusion estimators can be used to appropriately combine data in answering important questions that benefit from multiple sources of information.
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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.