| An introduction to propensity score methods for reducing the effects of confounding in observational studies PC Austin Multivariate behavioral research 46 (3), 399-424, 2011 | 10562 | 2011 |
| Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples PC Austin Statistics in medicine 28 (25), 3083-3107, 2009 | 5036 | 2009 |
| Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies PC Austin, EA Stuart Statistics in medicine 34 (28), 3661-3679, 2015 | 3426 | 2015 |
| Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies PC Austin Pharmaceutical statistics 10 (2), 150-161, 2011 | 3235 | 2011 |
| Outcome of heart failure with preserved ejection fraction in a population-based study RS Bhatia, JV Tu, DS Lee, PC Austin, J Fang, A Haouzi, Y Gong, PP Liu New England Journal of Medicine 355 (3), 260-269, 2006 | 2665 | 2006 |
| Rates of hyperkalemia after publication of the Randomized Aldactone Evaluation Study DN Juurlink, MM Mamdani, DS Lee, A Kopp, PC Austin, A Laupacis, ... New England Journal of Medicine 351 (6), 543-551, 2004 | 2038 | 2004 |
| Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research PC Austin Communications in statistics-simulation and computation 38 (6), 1228-1234, 2009 | 1952 | 2009 |
| Introduction to the analysis of survival data in the presence of competing risks PC Austin, DS Lee, JP Fine Circulation 133 (6), 601-609, 2016 | 1900 | 2016 |
| A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data C Van Walraven, PC Austin, A Jennings, H Quan, AJ Forster Medical care 47 (6), 626-633, 2009 | 1848 | 2009 |
| Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model DS Lee, PC Austin, JL Rouleau, PP Liu, D Naimark, JV Tu Jama 290 (19), 2581-2587, 2003 | 1650 | 2003 |
| A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003 PC Austin Statistics in medicine 27 (12), 2037-2049, 2008 | 1435 | 2008 |
| A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study PC Austin, P Grootendorst, GM Anderson Statistics in medicine 26 (4), 734-753, 2007 | 1319 | 2007 |
| A population-based study of the drug interaction between proton pump inhibitors and clopidogrel DN Juurlink, T Gomes, DT Ko, PE Szmitko, PC Austin, JV Tu, DA Henry, ... Cmaj 180 (7), 713-718, 2009 | 1273 | 2009 |
| The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments PC Austin Statistics in medicine 33 (7), 1242-1258, 2014 | 1251 | 2014 |
| The number of subjects per variable required in linear regression analyses PC Austin, EW Steyerberg Journal of clinical epidemiology 68 (6), 627-636, 2015 | 1087 | 2015 |
| Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community C Van Walraven, IA Dhalla, C Bell, E Etchells, IG Stiell, K Zarnke, ... Cmaj 182 (6), 551-557, 2010 | 1034 | 2010 |
| A comparison of 12 algorithms for matching on the propensity score PC Austin Statistics in medicine 33 (6), 1057-1069, 2014 | 961 | 2014 |
| Effects of socioeconomic status on access to invasive cardiac procedures and on mortality after acute myocardial infarction DA Alter, CD Naylor, P Austin, JV Tu New England Journal of Medicine 341 (18), 1359-1367, 1999 | 806 | 1999 |
| Proportion of hospital readmissions deemed avoidable: a systematic review C Van Walraven, C Bennett, A Jennings, PC Austin, AJ Forster Cmaj 183 (7), E391-E402, 2011 | 805 | 2011 |
| Practical recommendations for reporting f Ine‐G Ray model analyses for competing risk data PC Austin, JP Fine Statistics in medicine 36 (27), 4391-4400, 2017 | 801 | 2017 |
