ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2019
Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-inference framework to integrate multiple external models into a current study.Biostatistics (Oxford, England) · 2023Pooled it
- A new information integration framework for complex models with applications to real-world data.Statistical methods in medical research · 2026Article
- Mediation with External Summary Statistic Information.Biostatistics (Oxford, England) · 2025Article
- A Weighted Survival Regression Framework for Incorporating External Prediction Information.Journal of statistical theory and practice · 2025Article
- A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regression.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Integrating external summary information in the presence of prior probability shift: an application to assessing essential hypertension.Biometrics · 2024Article
- Improving prediction of linear regression models by integrating external information from heterogeneous populations: James-Stein estimators.Biometrics · 2024Article
- Comparison of Bayesian approaches for developing prediction models in rare disease: application to the identification of patients with Maturity-Onset Diabetes of the Young.BMC medical research methodology · 2024Article
- INTEGRATING INCOMPLETE DATA FOR MEDIATION ANALYSIS.Statistica Sinica · 2024Article
- Robust data integration from multiple external sources for generalized linear models with binary outcomes.Biometrics · 2024Article
- A synthetic data integration framework to leverage external summary-level information from heterogeneous populations.Biometrics · 2023Article
- Improvement of an External Predictive Model Based on New Information Using a Synthetic Data Approach: Application to CADASIL.Neurology. Genetics · 2023Article
- Integrating Information from Existing Risk Prediction Models with No Model Details.The Canadian journal of statistics = Revue canadienne de statistique · 2023Article
- Integrative analysis of individual-level data and high-dimensional summary statistics.Bioinformatics (Oxford, England) · 2023Article
- Data integration: exploiting ratios of parameter estimates from a reduced external model.Biometrika · 2023Article
- Tailored Bayes: a risk modeling framework under unequal misclassification costs.Biostatistics (Oxford, England) · 2022Article
- Integrative analysis of multiple case-control studies.Biometrics · 2022Article
- Synthetic data method to incorporate external information into a current study.The Canadian journal of statistics = Revue canadienne de statistique · 2019Article
- Generalized meta-analysis for multiple regression models across studies with disparate covariate information.Biometrika · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We consider a situation where there is rich historical data available for the coefficients and their standard errors in an established regression model describing the association between a binary outcome variable Y and a set of predicting factors
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Registered trials
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