Andrew R. Willan, PhD
Professor
Professor Emeritus
e-mail: andy@andywillan.com
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Dr Willan is an academic biostatistician and clinical trial methodologist, and currently holds the positions
of Professor of Biostatistics in the Dalla Lana
School of Public Health at the University of Toronto, and Professor Emeritus in the Department of Clinical Epidemiology and Biostatistics at McMaster
University. His contributions to statistical methodology include publications in the areas of cost-effectiveness analysis, value of information methods,
management trials, crossover trials, non-nested regression analysis and bivariate response models. Dr Willan has been particularly instrumental in
developing the field of statistical analysis of cost-effectiveness data with twenty peer-review articles and a book, co-authored with Professor
Andy Briggs, in the Wiley Statistics in Practice series, entitled Statistical Analysis of Cost-effectiveness Data. More recently Dr Willan’s research
interest has focused on using value of information methods for the optimal design and analysis of clinical studies, with seventeen peer-reviewed articles
and two book chapters. Dr Willan’s collaborative research has been primarily in clinical trials in obstetrics and paediatrics with numerous high profile trials
published in the New England Journal of Medicine and Lancet. Previously held positions include Senior Scientist at SickKids Research Institute, Head of Biometry of the Clinical Trials
Program at the National Cancer Institute of Canada and Head of Clinical Trials and Epidemiology for the Cancer Program at Sunnybrook Medical Centre in Toronto.
Dr Willan is currently involved in methodologic research
in the areas of health economics and value of information for optimal decision making in health care research and policy.
Dr Willan's current research collaborations include
projects in health economics, pediatric emergency care, surgery, breast
cancer, obstetrical care, supportive cancer care and cardiac devices.
Journal Public Health 2021.
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Journal Public Health 2021.
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Clinical Trials 2020; 17(4):414-419.
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New England Journal of Medicine 2018; 379(21):2015-2026.
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New England Journal of Medicine 2018; 379(6):535-546.
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BMC Trials 2016; 17(1):310.
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Medical Decision Making 2017; 37(3):262-272.
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Statistics in Medicine 2014; 33(11):1801-1815.
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Journal of General Internal Medicine 2014; 29(3):767-773.
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Medical Decision Making 2014; 34(7):863-872.
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Developments in Statistical Evaluation of Clinical Trials.
Springer Berlin Heidelberg, 2014. (ISBN 978-3-642-55345-5)
Important Considerations for Clinical Trial Methodologies.
Future Medicine London, 2013. (eISBN 978-1-909453-31-9)
Clinical Trials 2013; 10(1):54–62.
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Journal of Bioinformatics and Computational Biology 2013; 11(2):1250021 (19 pages).
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New England Journal of Medicine 2013; 369(14):1295-1305.
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PharmacoEconomics 2013; 31(5):393-401.
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Communications in Statistics 2013; 42(7):1563-1577.
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Journal of Clinical Epidemiology 2012; 65(8):870-876.
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Health Economics 2012; 21(10):1183–1195.
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PharmacoEconomics 2012; 30(6):447-459.
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The International Journal of Biostatistics
2011; 7(1), Article 14.
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PharmacoEconomics 2011; 29(11):933-949.
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PharmacoEconomics 2011; 29(7):563-577.
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PharmacoEconomics 2011; 29(2):87-96.
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PharmacoEconomics 2010; 28(9):699-709.
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Health Economics 2010; 19(5):549-561.
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Computational Statistics and Data Analysis 2009; 53(10):3685-3695.
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Journal of Clinical Epidemiology 2009; 62(10):1031-1036.
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Health Economics 2009; 18(2):203-216.
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Clinical Trials 2008; 5(6):587-594.
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Clinical Trials 2008; 5(4):289-300.
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Medical Decision Making 2008; 28(3):300-305.
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Medical Decision Making 2008; 28(2):172-181.
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Health Economics 2008; 17(7):777-791.
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Value in Health 2008; 11(3):522-526.
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Lancet 2008; 372(9656):2143-2151.
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British Medical Journal 2008; 337: a1021.
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Statistics 2007; 41(5):385-394.
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Clinical Trials 2007; 4(3):279-285.
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Statistics in Medicine 2007; 26(17):3274-3299.
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Health Economics 2007; 16(2):195-209.
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Pharmacoeconomics 2006; 24(11):1101-1119.
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The Statistical Analysis of Cost-effectiveness Data. Chichester UK: Wiley 2006.
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Expert Rev. Phamacoeconomics Outcomes Res 2006; 6(3):337-346.
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Pharmacoeconomics 2006; 24(1):93-106.
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Statistics in Medicine 2005; 24(13):1965-1982.
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Statistics in Medicine 2005; 24(12):1791-1806. (Correction: Statistics in Medicine 2006; 25:720.)
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Health Economics 2005; 14(4):327-338.
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Statistics in Medicine 2005; 24(1):131-145.
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European Journal of Gastroenterology and Hepatology 2004; 16(6):543-549.
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Health Economics 2004; 13(5):461-475.
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New England Journal of Medicine 2003; 349(15):1414-1422.
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Statistics in Medicine 2003; 22(3):353-362.
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Statistical Methods in Medical Research
2002; 11(6):539-551.
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Health Economics 2002; 11(5):415-430.
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Health Economics 2002; 11(2):175-180.
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Lancet 2002; 360(9337):901-907.
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BMC Medical Research Methodology 2001; 1:8.
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Statistics in Medicine 2001; 20(21):3251-3259.
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Health Economics 2001; 10(4):363-366.
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Control Clinical Trials 2001; 22(3):228-237.
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Statistics in Medicine 2001; 20(11):1563-1574.
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Journal of Clinical Epidemiology 2001; 54(6):550-557.
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Lancet 2000; 356(9239):1375-1383.
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Health Economics 1999; 8(3):203-211.
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Control Clinical Trials 1997; 18(2):121-130.
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Biometrics 1996; 52(2):732-739.
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Health Economics 1996; 5(4):297-305. Addendum 1999; 8:599.
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Canadian Journal Ophthalmology 1996; 31(1):11-17.
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Control Clinical Trials 1994; 15(3):211-219.
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Statistics in Medicine 1992; 11(10):1321-1331.
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Biometrics 1988; 44(1):211-218.
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Communications in Statistics A 1988; 17(8):2455-2470.
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Control Clin Trials 1986; 7(4):282-289.
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Biometrics 1986; 42(3):593-599.
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Journal of Chronic Diseases 1985; 38(7):603-608.
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Journal of Chronic Diseases 1983; 36(2):183-192.
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Technometrics 1978; 20(4, Part 1):407-412.
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