ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2023
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation.
Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy and safety of Shen Gui capsules for chronic heart failure: a systematic review and meta-analysis.Frontiers in pharmacology · 2024Pooled it
- COADVISE: covariate adjustment with variable selection in randomized controlled trials.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2026Article
- Innovative Clinical Trial Approach for Evaluating Digital Medical Devices Under European Fast-Track Regulatory Frameworks.Statistics in medicine · 2026Article
- Efficient collaborative learning of the average treatment effect.Biometrics · 2026Article
- Estimate Time-Varying Exposure Effects via Ensemble Learning-Based Marginal Structural Model With Application to Adolescent Cognitive Development Study.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials.Statistics in medicine · 2026Article
- A Review of Methods for Research Synthesis.Statistics in medicine · 2025Article
- Data Fusion for Partial Identification of Causal Effects.Advances in neural information processing systems · 2025Article
- Data fusion methods for the heterogeneity of treatment effect and confounding function.Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability · 2025Article
- Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data.Biometrics · 2025Article
- The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data.Journal of the American Statistical Association · 2025Article
- Integrative analysis of high-dimensional RCT and RWD subject to censoring and hidden confounding.Lifetime data analysis · 2025Article
- Evaluating the agreement between sensitivity and primary analyses in observational studies using routinely collected healthcare data: a meta-epidemiology study.BMC medicine · 2025Article
- Data fusion using weakly aligned sources.Journal of the American Statistical Association · 2025Article
- Assessing racial disparities in healthcare expenditure using generalized propensity score weighting.BMC medical research methodology · 2025Article
- Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features.Journal of the American Statistical Association · 2025Article
- Article
- Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data.Journal of machine learning research : JMLR · 2025Article
- When does adjusting covariate under randomization help? A comparative study on current practices.BMC medical research methodology · 2024Article
- genRCT: a statistical analysis framework for generalizing RCT findings to real-world population.Journal of biopharmaceutical statistics · 2024Article
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.
Funding
Abstract
We propose a test-based elastic integrative analysis of the randomised trial and real-world data to estimate treatment effect heterogeneity with a vector of known effect modifiers. When the real-world data are not subject to bias, our approach combines the trial and real-world data for efficient estimation. Utilising the trial design, we construct a test to decide whether or not to use real-world data. We characterise the asymptotic distribution of the test-based estimator under local alternatives. We provide a data-adaptive procedure to select the test threshold that promises the smallest mean square error and an elastic confidence interval with a good finite-sample coverage property.
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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.