Henrik Stryhn

I am a statistician, coming originally from Denmark, but working now as a professor in biostatistics at the Atlantic Veterinary College (AVC), UPEI, PEI, Canada. My current work involves research, teaching and consulting in statistical methods for veterinary science, in particular veterinary epidemiology.

Teaching

• Veterinary Biostatistics (VHM 8010),
• Advanced Veterinary Biostatistics (VHM 8020),

Webpages for other courses offered (fully or in part) in the past:

Introduction to Multilevel Modelling (May 2022, with Ian Dohoo),
• Epidemiology I (VHM 811, 2007-2009),
• Statistical Analysis of Generalized, Linear, and Mixed Models (VHM 881, 2009),
• Introduction to Multivariate Statistical Methods (VHM 881, 2014), Introduction to Multivariate Statistical Methods
• Statistical Analysis of Repeated Measures Models (VHM 882, 2005),
• Epi on the Island summer courses and other short courses (2002-2020): materials may be available by request.

I co-authored the textbook Veterinary Epidemiologic Research, 2nd edition (by Dohoo, Martin and Stryhn) and its companion version Methods in Epidemiologic Research. My primary responsibility was for the book chapters on multilevel modelling and Bayesian modelling (Chapters 20-24).

Research

One particular interest of mine has been statistical models for observational data, typically extracted from registers of routinely recordings in animal production. The statistical methods relevant to such data include survival analysis and linear or generalised linear mixed models.

For published papers, carry out a PubMed search or a Google scholar search.

Recent presentations

• University of Melbourne, Faculty of Veterinary and Agricultural Sciences, 14 November 2025: A causerie on statistical/epidemiological analysis and reporting, with discussion (with Charles Caraguel)
• The 17th International Symposium of Veterinary Epidemiology and Economics: Design and analysis for ranking of human-and machine-rated applications to a veterinary program
• The 16th International Symposium of Veterinary Epidemiology and Economics: A simulation-based approach to determine sample sizes in stochastic scenario tree models for freedom of disease: slides, link to recorded video presentation
• The SSC 2022 Annual Meeting Online: A random effects model for sparse cross-classification data: slides, link to recorded video presentation

Consulting

Assorted notes and presentations for teaching/consulting

• Power and sample size calculation in Stata 13 (presentation in Short Stata seminar series, 4/11-2013)
• Applied statistics at AVC: How to deal with repeated measures data (Zoetis 2013 lecture),
• Longitudinal data: simple univariate methods of analysis (15 pp., March 1998)
• Notes on statistical sample size calculations (13 pp., July 2021)
• Notes on linear mixed models (15 pp., May 2006)
• Notes on variance approximations (2 pp., December 2011)
• Notes on regression modelling of periodic (seasonal) effects (3 pp., May 2006)
• Introduction to Bayesian analysis (6 pp., November 2005)

Administration/Organisation

• Since February 2022, Executive Secretary for the Statistical Society of Canada; additionally past elected regional Board member for two periods: 2016-18 and 2018-20,
• Past director of the Centre of Veterinary Epidemiological Research (CVER), since 2018-2022
• Member of the Board of Directors for the Atlantic Association for Research in the Mathematical Sciences (AARMS; 2012-2018),
• During the years 1999-2003, member of the board and webmaster for the Danish Society for Theoretical Statistics.

Address