| 1 |
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Peter C. Austin · Multivariate Behavioral Research
Open access |
31 May 2011 |
12,403 |
| 2 |
AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both
Beverley Shea, Barnaby C Reeves, George A. Wells et al. · BMJ
ReviewOpen access |
21 Sep 2017 |
10,915 |
| 3 |
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples
Peter C. Austin · Statistics in Medicine
Open access |
15 Sep 2009 |
6,815 |
| 4 |
Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies
Siew C. Ng, Hai Yun Shi, Nima Hamidi et al. · The Lancet
Review |
16 Oct 2017 |
6,147 |
| 5 |
The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement
Eric I. Benchimol, Liam L Smeeth, Astrid Guttmann et al. · PLoS Medicine
Open access |
6 Oct 2015 |
5,721 |
| 6 |
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
Peter C. Austin, Elizabeth A. Stuart · Statistics in Medicine
Open access |
3 Aug 2015 |
4,542 |
| 7 |
Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies
Peter C. Austin · Pharmaceutical Statistics
Open access |
28 Apr 2010 |
4,057 |
| 8 |
OARSI guidelines for the non-surgical management of knee osteoarthritis
T.E. McAlindon, Raveendhara R. Bannuru, Matthew C. Sullivan et al. · Osteoarthritis and Cartilage
Open access |
24 Jan 2014 |
3,183 |
| 9 |
Surgeon Volume and Operative Mortality in the United States
John D. Birkmeyer, Thérèse A. Stukel, Andrea E. Siewers et al. · New England Journal of Medicine
Open access |
26 Nov 2003 |
3,124 |
| 10 |
Sedentary Time and Its Association With Risk for Disease Incidence, Mortality, and Hospitalization in Adults
Aviroop Biswas, PAUL I. OH, Guy Faulkner et al. · Annals of Internal Medicine
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19 Jan 2015 |
2,740 |
| 11 |
Introduction to the Analysis of Survival Data in the Presence of Competing Risks
Peter C. Austin, Douglas S. Lee, Jason P. Fine · Circulation
Open access |
8 Feb 2016 |
2,666 |
| 12 |
Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
Peter C. Austin · Communications in Statistics - Simulation and Computation
|
9 Apr 2009 |
2,494 |
| 13 |
A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data
Carl van Walraven, Peter C. Austin, Alison Jennings et al. · Medical Care
|
26 May 2009 |
2,227 |
| 14 |
Outcome of Heart Failure with Preserved Ejection Fraction in a Population-Based Study
R. Sacha Bhatia, Jack V. Tu, Douglas S. Lee et al. · New England Journal of Medicine
Open access |
19 Jul 2006 |
1,979 |
| 15 |
Improving the reporting of pragmatic trials: an extension of the CONSORT statement
Merrick Zwarenstein, Shaun P. Treweek, Joel Joseph Gagnier et al. · BMJ
Open access |
11 Nov 2008 |
1,860 |
| 16 |
Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
Jack V. Tu · Journal of Clinical Epidemiology
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Nov 1996 |
1,848 |
| 17 |
AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews
Beverley Shea, Candyce Hamel, George A. Wells et al. · Journal of Clinical Epidemiology
ReviewOpen access |
22 Feb 2009 |
1,787 |
| 18 |
Rates of Hyperkalemia after Publication of the Randomized Aldactone Evaluation Study
David Nelson Juurlink, Muhammad Mamdani, Douglas S. Lee et al. · New England Journal of Medicine
Open access |
4 Aug 2004 |
1,769 |
| 19 |
Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis
Bradley J. Langford, Miranda M. So, Sumit Raybardhan et al. · Clinical Microbiology and Infection
Open access |
22 Jul 2020 |
1,653 |
| 20 |
The false hope of current approaches to explainable artificial intelligence in health care
Marzyeh Ghassemi, Luke Oakden‐Rayner, Andrew L. Beam · The Lancet Digital Health
Open access |
25 Oct 2021 |
1,643 |
| 21 |
The Implications of Regional Variations in Medicare Spending. Part 1: The Content, Quality, and Accessibility of Care
Elliott S. Fisher, David E. Wennberg, Thérèse A. Stukel et al. · Annals of Internal Medicine
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18 Feb 2003 |
1,552 |
| 22 |
Global asthma prevalence in adults: findings from the cross-sectional world health survey
Teresa M. To, Sanja Stanojevic, Ginette Moores et al. · BMC Public Health
Open access |
19 Mar 2012 |
1,550 |
| 23 |
The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments
Peter C. Austin · Statistics in Medicine
Open access |
30 Sep 2013 |
1,463 |
| 24 |
A pragmatic–explanatory continuum indicator summary (PRECIS): a tool to help trial designers
Kevin E. Thorpe, Merrick Zwarenstein, Andrew David Oxman et al. · Journal of Clinical Epidemiology
Open access |
7 Apr 2009 |
1,415 |
| 25 |
Colorectal cancer screening: a global overview of existing programmes
Eline H. Schreuders, Arlinda Ruco, Linda Rabeneck et al. · Gut
Open access |
3 Jun 2015 |
1,390 |
| 26 |
Diabetes in Ontario
Janet E. Hux, Frank J. Ivis, Virginia F. Flintoft et al. · Diabetes Care
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Mar 2002 |
1,298 |
| 27 |
A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003
Peter C. Austin · Statistics in Medicine
|
23 Nov 2007 |
1,263 |
| 28 |
Practical recommendations for reporting F ine‐ G ray model analyses for competing risk data
Peter C. Austin, Jason P. Fine · Statistics in Medicine
Open access |
15 Sep 2017 |
1,260 |
| 29 |
Association of Colonoscopy and Death From Colorectal Cancer
Nancy Noel Baxter, Meredith A. Goldwasser, Lawrence F. Paszat et al. · Annals of Internal Medicine
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6 Jan 2009 |
1,258 |
| 30 |
Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection
Jeffrey C. Kwong, Kevin L. Schwartz, Michael A. Campitelli et al. · New England Journal of Medicine
|
25 Jan 2018 |
1,211 |
| 31 |
A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
Peter C. Austin, Paul V. Grootendorst, Geoffrey M. Anderson · Statistics in Medicine
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17 May 2006 |
1,149 |
| 32 |
Impact of the COVID-19 virus outbreak on movement and play behaviours of Canadian children and youth: a national survey
Sarah A. Moore, Guy Faulkner, Ryan E. Rhodes et al. · International Journal of Behavioral Nutrition and Physical Activity
Open access |
6 Jul 2020 |
1,135 |
| 33 |
A comparison of 12 algorithms for matching on the propensity score
Peter C. Austin · Statistics in Medicine
Open access |
7 Oct 2013 |
1,105 |
| 34 |
Mortality among Patients Admitted to Hospitals on Weekends as Compared with Weekdays
Chaim M. Bell, Donald A. Redelmeier · New England Journal of Medicine
Open access |
30 Aug 2001 |
1,082 |
| 35 |
The number of subjects per variable required in linear regression analyses
Peter C. Austin, Ewout Willem Steyerberg · Journal of Clinical Epidemiology
Open access |
22 Jan 2015 |
1,074 |
| 36 |
Cardiovascular health after maternal placental syndromes (CHAMPS): population-based retrospective cohort study
Joel Geoffrey Ray, Marian J. Vermeulen, Michael J. Schull et al. · The Lancet
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Nov 2005 |
1,017 |
| 37 |
Missing Data in Clinical Research: A Tutorial on Multiple Imputation
Peter C. Austin, Ian R. White, Douglas S. Lee et al. · Canadian Journal of Cardiology
Open access |
Dec 2020 |
1,014 |
| 38 |
The performance of different propensity score methods for estimating marginal hazard ratios
Peter C. Austin · Statistics in Medicine
Open access |
12 Dec 2012 |
1,010 |
| 39 |
Cognitive biases associated with medical decisions: a systematic review
Gustavo Saposnik, Donald A. Redelmeier, Christian Carl Ruff et al. · BMC Medical Informatics and Decision Making
ReviewOpen access |
3 Nov 2016 |
1,009 |
| 40 |
Clinical risk factors for pre-eclampsia determined in early pregnancy: systematic review and meta-analysis of large cohort studies
Emily Bartsch, Karyn E. Medcalf, Alison L. Park et al. · BMJ
ReviewOpen access |
19 Apr 2016 |
1,002 |
| 41 |
Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community
Carl van Walraven, Irfan A. Dhalla, Chaim M. Bell et al. · Canadian Medical Association Journal
Open access |
Mar 2010 |
983 |
| 42 |
Relationship Between Adherence to Evidence-Based Pharmacotherapy and Long-term Mortality After Acute Myocardial Infarction
Jeppe Nørgaard Rasmussen, Alice S. Chong, David A. Alter · JAMA
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9 Jan 2007 |
977 |
| 43 |
Epidemiology of pediatric inflammatory bowel disease: A systematic review of international trends
Eric I. Benchimol, Kyle J. Fortinsky, Peter Gozdyra et al. · Inflammatory Bowel Diseases
ReviewOpen access |
27 May 2010 |
971 |
| 44 |
Rates and risk factors for prolonged opioid use after major surgery: population based cohort study
Howard M. Clarke, Neil D. R. Soneji, Dennis T. Ko et al. · BMJ
Open access |
11 Feb 2014 |
944 |
| 45 |
Quantifying the Risk of Infectious Diseases for People With Diabetes
Baiju R. Shah, Janet E. Hux · Diabetes Care
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Feb 2003 |
909 |
| 46 |
Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis
Bradley J. Langford, Miranda M. So, Sumit Raybardhan et al. · Clinical Microbiology and Infection
Open access |
9 Jan 2021 |
901 |
| 47 |
Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients
Alfonso Iorio, F.A. Spencer, Maicon Falavigna et al. · BMJ
Open access |
16 Mar 2015 |
895 |
| 48 |
Decision aids for patients facing health treatment or screening decisions: systematic review
Annette M. Cormier O'Connor, Alaa Rostom, Valerie Fiset et al. · BMJ
ReviewOpen access |
18 Sep 1999 |
884 |
| 49 |
PyMC: a modern, and comprehensive probabilistic programming framework in Python
Oriol Abril, Virgile Andreani, Colin Carroll et al. · PeerJ Computer Science
Open access |
Sep 2023 |
882 |
| 50 |
Exploring the rising incidence of neuroendocrine tumors: A population‐based analysis of epidemiology, metastatic presentation, and outcomes
Julie I. Hallet, Calvin Law, Moisés Cukier et al. · Cancer
Open access |
13 Oct 2014 |
864 |