ArticleStatistical methods in medical research2020
Inverse probability weighted Cox model in multi-site studies without sharing individual-level data.
Article in Statistical methods in medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 19 papers, 4 of them syntheses that pooled it.
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.
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.
Domperidone Dose and the Risk of Serious Adverse Events in Older Adults With Advanced Chronic Kidney Disease: A Population-Based Cohort Study Research Protocol
The Long-term Risk of Cardiovascular Disease and Mortality in Living Kidney Donors
Who cites it
19 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Learning competing risks across multiple hospitals: one-shot distributed algorithms.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.Journal of biomedical informatics · 2024Pooled it
- Distributed Cox proportional hazards regression using summary-level information.Biostatistics (Oxford, England) · 2023Pooled it
- ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data.Scientific reports · 2022Pooled it
- Serious Infection in Crohn's Disease Patients Treated With Ustekinumab: US Food and Drug Administration Active Postmarket Risk Identification and Analysis in the Sentinel Initiative.Clinical pharmacology and therapeutics · 2026Article
- Stroke and Bleeding Risks With Non-Vitamin K Oral Anticoagulants in Nonvalvular Atrial Fibrillation.JAMA network open · 2026Article
- Association of GLP-1 receptor agonists with intentional self-harm in patients with type 2 diabetes: a Sentinel Distributed Database study.BMJ open diabetes research & care · 2026Article
- Estimating Risk Differences Using Large Healthcare Data Networks for Medical Product Post-Market Safety Outcomes in a Distributed Data Setting and Allowing for Active Post-Market Surveillance.Statistics in medicine · 2026Article
- FedECA: federated external control arms for causal inference with time-to-event data in distributed settings.Nature communications · 2025Article
- COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.NPJ digital medicine · 2025Article
- Communication-efficient federated learning of temporal effects on opioid use disorder with data from distributed research networks.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Covariate balance-related propensity score weighting in estimating overall hazard ratio with distributed survival data.BMC medical research methodology · 2023Article
- Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes.Journal of biomedical informatics · 2023Article
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- Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes.Lifetime data analysis · 2022Article
- Variance estimation in inverse probability weighted Cox models.Biometrics · 2021Article
- Methodological frontiers in vaccine safety: qualifying available evidence for rare events, use of distributed data networks to monitor vaccine safety issues, and monitoring the safety of pregnancy interventions.BMJ global health · 2021Review
- Data Integration in Causal Inference.Wiley interdisciplinary reviews. Computational statisticsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The inverse probability weighted Cox proportional hazards model can be used to estimate the marginal hazard ratio. In multi-site studies, it may be infeasible to pool individual-level datasets due to privacy and other considerations. We propose three methods for making inference on hazard ratios without the need for pooling individual-level datasets across sites. The first method requires a summary-level eight-column risk-set table to produce the same hazard ratio estimate and robust sandwich variance estimate as those from the corresponding pooled individual-level data analysis (reference analysis). The second and third methods, which are based on two bootstrap re-sampling strategies, require a summary-level four-column risk-set table and bootstrap-based risk-set tables from each site to produce the same hazard ratio and bootstrap variance estimates as those from their reference analyses. All three methods require only one file transfer between the data-contributing sites and the analysis center. We justify these methods theoretically, illustrate their use, and demonstrate their statistical performance using both simulated and real-world data.
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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.