Research map: Evaluating large-scale propensity score adjustment when sample size is small

Back to the article

Papers in this map

  1. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies · Peter C. Austin · 2011 · 12422 citations · Cited by this paper
  2. AI, humanity, and the open world of health care: enduring imperatives for the next century · 2026 · Related
  3. Validation of a common data model for active safety surveillance research · J. Marc Overhage · 2011 · 603 citations · Cited by this paper
  4. Medical code embeddings from claims-based co-occurrences: a unified semantic space for ICD-10 diagnoses and ATC medications · 2026 · Related
  5. Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis · Marc A. Suchard · 2019 · 393 citations · Cited by this paper
  6. Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience · 2026 · Related
  7. Evaluation of the Propensity score methods for estimating marginal odds ratios in case of small sample size · Romain Pirracchio · 2012 · 269 citations · Cited by this paper
  8. Equity-by-design for socially assistive robots as digital health tools · 2026 · Related
  9. Interpreting observational studies: why empirical calibration is needed to correct p‐values · Martijn J. Schuemie · 2013 · 249 citations · Cited by this paper
  10. Reflections on the discipline: foundations, challenges, and future of biomedical informatics · 2026 · Related
  11. Evaluating large-scale propensity score performance through real-world and synthetic data experiments · Yuxi Tian · 2018 · 193 citations · Cited by this paper
  12. Reporting follow-up budgets for diagnostic and predictive AI · 2026 · Related
  13. Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data · Martijn J. Schuemie · 2018 · 174 citations · Cited by this paper
  14. Digital health technology burden and frustration among patients with multimorbidity · 2026 · Related
  15. The Methods of Comparative Effectiveness Research · Harold C. Sox · 2012 · 171 citations · Cited by this paper
  16. CiteSure: retrieval-augmented large language models for faithful biomedical citation recommendation · 2026 · Related
  17. Confounding and indication for treatment in evaluation of drug treatment for hypertension · Diederick E. Grobbee · 1997 · 130 citations · Cited by this paper
  18. Malfunctions in distributed clinical decision support: 3 cases from a multi‑component clinical decision support system · 2026 · Related
  19. Current problems and future challenges in randomized clinical trials. · Anthony Feinstein · 1984 · 92 citations · Cited by this paper
  20. Loss function influence on hyperparameter optimization for observational healthcare prediction models · 2026 · Related
  21. Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings · Daniele Bottigliengo · 2021 · 75 citations · Cited by this paper
  22. How Confident Are We About Observational Findings in Health Care: A Benchmark Study · Martijn J. Schuemie · 2020 · 63 citations · Cited by this paper
  23. Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND) · Martijn J. Schuemie · 2020 · 57 citations · Cited by this paper
  24. Case-Control Study, Meta-analysis, and Bouillabaisse: Putting the Calcium Antagonist Scare into Context · Franz H. Messerli · 1995 · 56 citations · Cited by this paper
  25. Adjusting for indirectly measured confounding using large-scale propensity score · Linying Zhang · 2022 · 52 citations · Cited by this paper
  26. Multiple Self-Controlled Case Series for Large-Scale Longitudinal Observational Databases · Shawn Simpson · 2013 · 51 citations · Cited by this paper
  27. Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes · Rohan Khera · 2024 · 43 citations · Cited by this paper
  28. Can propensity score matching replace randomized controlled trials? · Matthias Yi Quan Liau · 2024 · 32 citations · Cited by this paper
  29. Channeling in the Use of Nonprescription Paracetamol and Ibuprofen in an Electronic Medical Records Database: Evidence and Implications · Rachel B. Weinstein · 2017 · 26 citations · Cited by this paper
  30. Incorporating propensity scores for evidence synthesis under bayesian framework: review and recommendations for clinical studies · Junjing Lin · 2021 · 24 citations · Cited by this paper
  31. Combining cox regressions across a heterogeneous distributed research network facing small and zero counts · Martijn J. Schuemie · 2021 · 21 citations · Cited by this paper
  32. Objective study validity diagnostics: a framework requiring pre-specified, empirical verification to increase trust in the reliability of real-world evidence · Mitchell M. Conover · 2024 · 16 citations · Cited by this paper
  33. Assessing Covariate Balance With Small Sample Sizes · George M. Hripcsak · 2025 · 11 citations · Cited by this paper
  34. Using Meta-Analysis and Propensity Score Methods to Assess Treatment Effects Toward Evidence-Based Practice in Extensive Reading · Akira Hamada · 2020 · 10 citations · Cited by this paper
  35. Estimation of treatment effects in observational stroke care data: comparison of statistical approaches · Marzyeh Amini · 2022 · 2 citations · Cited by this paper
  36. Untitled · Cited by this paper

Source: OpenAlex (CC0)