Peter C. Austin

Active 1998–2025

362
Papers
94,108
Citations
131
h-index
342
i10-index

Citations

Citations per year for Peter C. Austin1952: 1 citations1967: 1 citations1974: 1 citations1976: 1 citations1983: 1 citations1997: 1 citations1998: 1 citations1999: 3 citations2000: 6 citations2001: 22 citations2002: 26 citations2003: 54 citations2004: 99 citations2005: 168 citations2006: 186 citations2007: 239 citations2008: 284 citations2009: 310 citations2010: 384 citations2011: 405 citations2012: 469 citations2013: 515 citations2014: 529 citations2015: 604 citations2016: 563 citations2017: 624 citations2018: 612 citations2019: 2,876 citations2020: 3,085 citations2021: 3,143 citations2022: 2,776 citations2023: 1,875 citations2024: 3,119 citations2025: 1,305 citations2026: 72 citations1953–1966: no citations, so these years are not shown1968–1973: no citations, so these years are not shown1975: no citations, so this year is not shown1977–1982: no citations, so these years are not shown1984–1996: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 9,258 citing papers, 26.9% of this breakdownCanada: 3,262 citing papers, 9.5% of this breakdownUnited Kingdom: 2,635 citing papers, 7.7% of this breakdownChina: 1,945 citing papers, 5.7% of this breakdownGermany: 1,262 citing papers, 3.7% of this breakdownItaly: 1,254 citing papers, 3.6% of this breakdownFrance: 1,161 citing papers, 3.4% of this breakdownAustralia: 1,147 citing papers, 3.3% of this breakdownNetherlands: 1,143 citing papers, 3.3% of this breakdownJapan: 925 citing papers, 2.7% of this breakdownSpain: 704 citing papers, 2% of this breakdownSweden: 694 citing papers, 2% of this breakdown
0%26.9%Other 26.2%

Fields

  • Medicine75.6%
  • Health Professions4.2%
  • Biochemistry, Genetics and Molecular Biology4.1%
  • Computer Science3%
  • Mathematics2.4%
  • Social Sciences1.9%
  • Other8.8%

Topics

  • Heart Failure Treatment and Management3%
  • Cardiovascular Function and Risk Factors1.6%
  • Sepsis Diagnosis and Treatment1.4%
  • Atrial Fibrillation Management and Outcomes1.2%
  • Acute Myocardial Infarction Research1.1%
  • Machine Learning in Healthcare1.1%
  • Other90.6%

Coauthors

All papers

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  1. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

    Authors: - Multivariate Behavioral Research 2011 cited by 11,884

  2. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples

    Authors: - Statistics in Medicine 2009 cited by 6,487

  3. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

    Authors: , - Statistics in Medicine 2015 cited by 4,309

  4. Introduction to the Analysis of Survival Data in the Presence of Competing Risks

    Authors: , , - Circulation 2016 cited by 2,536

  5. Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies

    Authors: - Pharmaceutical Statistics 2010 cited by 3,895

  6. Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research

    Authors: - Communications in Statistics - Simulation and Computation, Commun. Stat. Simul. Comput. 2009 cited by 2,433

  7. Missing Data in Clinical Research: A Tutorial on Multiple Imputation

    Authors: , , , - Canadian Journal of Cardiology 2020 cited by 956

  8. A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data

    Authors: , , , , - Medical Care 2009 cited by 2,168

  9. Practical recommendations for reportingFine‐Gray model analyses for competing risk data

    Authors: , - Statistics in Medicine 2017 cited by 1,176

  10. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

    Authors: , , - BMC Medical Research Methodology 2014 cited by 796

  11. The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments

    Authors: - Statistics in Medicine 2013 cited by 1,441

  12. A comparison of 12 algorithms for matching on the propensity score

    Authors: - Statistics in Medicine 2013 cited by 1,075

  13. Intermediate and advanced topics in multilevel logistic regression analysis

    Authors: , - Statistics in Medicine 2017 cited by 657

  14. Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis

    Authors: - Statistics in Medicine 2016 cited by 530

  15. The Association of Sodium-Glucose Cotransporter 2 Inhibitors With Cardiovascular Outcomes in Anthracycline-Treated Patients With Cancer

    Authors: , , , , , , , , , , - JACC CardioOncology 2023 cited by 87

  16. Rates of Hyperkalemia after Publication of the Randomized Aldactone Evaluation Study

    Authors: , , , , , , - New England Journal of Medicine 2004 cited by 1,752

  17. The number of subjects per variable required in linear regression analyses

    Authors: , - Journal of Clinical Epidemiology 2015 cited by 1,043

  18. The performance of different propensity score methods for estimating marginal hazard ratios

    Authors: - Statistics in Medicine 2012 cited by 995

  19. Estimated Effectiveness of COVID-19 Vaccines Against Omicron or Delta Symptomatic Infection and Severe Outcomes

    Authors: , , , , , , , , , , , , - JAMA Network Open 2022 cited by 328

  20. Outcome of Heart Failure with Preserved Ejection Fraction in a Population-Based Study

    Authors: , , , , , , , - New England Journal of Medicine 2006 cited by 1,970

  21. Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations

    Authors: - Biometrical Journal 2009 cited by 769

  22. High-Density Lipoprotein Cholesterol and Cause-Specific Mortality in Individuals Without Previous Cardiovascular Conditions

    Authors: , , , , , , , , , , , , - Journal of the American College of Cardiology 2016 cited by 334

  23. The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

    Authors: , - Statistics in Medicine 2019 cited by 313

  24. Trial of an Intervention to Improve Acute Heart Failure Outcomes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2022 cited by 147