ArticleResearch on social work practice2018
Generalizability of randomized trial results to target populations: Design and analysis possibilities.
Article in Research on social work practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- New horizons in evidence-based care for older people: individual participant data meta-analysis.Age and ageing · 2022Pooled it
- Reach and representativeness within a rural randomized controlled trial designed to improve community health through civic engagement for built environment change in Texas and New York.Wellbeing, space and society · 2026Article
- Comparing HIV Vaccine Immunogenicity Across Trials With Different Populations and Study Designs.Statistics in medicine · 2026Article
- Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials.Statistics in medicine · 2026Article
- Comparison of Demographics: National Amyotrophic Lateral Sclerosis Registry and Clinical Trials Data.Journal of racial and ethnic health disparities · 2025Article
- Keep asking: What do I want? What do I have? What do I do? : An approach for combining information to learn about a target population.European journal of epidemiology · 2025Article
- Evaluating the representativeness of a cohort study of low back pain: Using electronic health record data to make direct comparisons of study participants with non-participants from the study population.The journal of pain · 2025Observational
- Semi-supervised mixture multi-source exchangeability model for leveraging real-world data in clinical trials.Biostatistics (Oxford, England) · 2024Article
- Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review.Statistical science : a review journal of the Institute of Mathematical Statistics · 2024Article
- UCI EyeMobile Exam Findings from School Children Following On-Site Screening [Letter].Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Population Neuroscience: Understanding Concepts of Generalizability and Transportability and Their Application to Improving the Public's Health.Current topics in behavioral neurosciences · 2024Review
- Methods in causal inference. Part 3: measurement error and external validity threats.Evolutionary human sciences · 2024Article
- Methods in causal inference. Part 2: Interaction, mediation, and time-varying treatments.Evolutionary human sciences · 2024Article
- Methods in causal inference. Part 1: causal diagrams and confounding.Evolutionary human sciences · 2024Article
- Do referrals improve the representation of women in mobile phone surveys?Journal of development economics · 2023Article
- Modelling Well-Being with Mindfulness Intervention on Bottom- and Middle-40% Income Earners in Malaysia.International journal of environmental research and public health · 2023Article
- Closing the Gap Between Observational Research and Randomized Controlled Trials for Prevention of Alzheimer Disease and Dementia.Epidemiologic reviews · 2022Article
- A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources.Proceedings of machine learning research · 2022Article
- Risk of bias in observational studies using routinely collected data of comparative effectiveness research: a meta-research study.BMC medicine · 2021Article
- Study Designs for Extending Causal Inferences From a Randomized Trial to a Target Population.American journal of epidemiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Randomized trials play an important role in estimating the effect of a policy or social work program in a given population. While most trial designs benefit from strong internal validity, they often lack external validity, or generalizability, to the target population of interest. In other words, one can obtain an unbiased estimate of the study sample average treatment effect (SATE) from a randomized trial; however, this estimate may not equal the target population average treatment effect (TATE) if the study sample is not fully representative of the target population. This paper provides an overview of existing strategies to assess and improve upon the generalizability of randomized trials, both through statistical methods and study design, as well as recommendations on how to implement these ideas in social work research.
Indexed as
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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.