Videos of Past Armitage Lectures

• 2022: The 19th Annual Armitage Lecture – “Biostatistics in Infectious Disease Research: Test-negative designs from Influenza, Dengue and Ebola, to COVID-19″
• 2021: The 18th Annual Armitage Lecture – “Statistical modelling for health technology assessment and the analysis of the value of information”
• 2019: The 17th Annual Armitage Lecture – “How do we learn what works? A two-step algorithm for causal inference from observational data” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2018: The 16th Annual Armitage Lecture – “Statistical methods for experimental design to gain greater biological insights about gene transcription” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2017: The 15th Annual Armitage Lecture – “Randomization: The Forgotten Component of the Randomized Clinical Trial” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2016: The 14th Annual Armitage Lecture – “Addressing Complex Sampling and Observation Schemes in Cohort Studies” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2015: The 13th Annual Armitage Lecture – “Predictive model assessment in infectious disease epidemiology” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2014: The 12th Annual Armitage Lecture – “Getting SMART about Adapting Interventions”
• 2013 – The 11th Annual Armitage Lecture– “Cross-study Reproducibility of Predictions, with Application to Genomics”
• 2012: The 10th Annual Armitage Lecture – “Purpose sensitive causal inference: the case of quality of (health) care and outcome comparisons across centers”
• 2011: The 9th Annual Armitage Lecture -“Design and Analysis of Life History Studies”
• 2010: The 8th Annual Armitage Lecture – “Understanding Treatment Effects: The Value of Integrating Longitudinal Data and Survival Analysis”
• 2009: The 7th Annual Armitage Lecture – “Personalized estimates of disease risk in clinical practice and public health”
• 2008: The 6th Annual Armitage Lecture – “Bayesian, Classical and Sensible Statistical Inference in Clinical Trials”
• 2007: The 5th Annual Armitage Lecture -“Some of the Statistics in Bioinformatics”

List of Past Invited Lecturers

• 2022 – 19th Armitage Lecture – “Biostatistics in Infectious Disease Research: Test-negative designs from Influenza, Dengue and Ebola, to COVID-19″ – Professor Nicholas Jewell, London School of Hygiene and Tropical Medicine 
• 2021 – 18th Armitage Lecture – “Statistical modelling for health technology assessment and the analysis of the value of information” – Professor Gianluca Baio, University College London, UK
• 2019 – 17th Armitage Lecture – “How do we learn what works? A two-step algorithm for causal inference from observational data” – Professor Miguel Hernan, Harvard TH Chan School of Public Health, USA
• 2018 – 16th Armitage Lecture – “Statistical methods for experimental design to gain greater biological insights about gene transcription” – Professor Barbara Engelhardt, Princeton University, USA
• 2017 – 15th Armitage Lecture – “Randomization: The Forgotten Component of the Randomized Clinical Trial” – Professor William Rosenberger, George Mason University, USA
• 2016 – 14th Armitage Lecture – “Addressing Complex Sampling and Observation Schemes in Cohort Studies” – Professor Richard J. Cook, University of Waterloo, Canada
• 2015 – 13th Armitage Lecture – “Predictive model assessment in infectious disease epidemiology” – Professor Leonhard Held, University of Zurich
• 2014 – 12th Armitage Lecture – “Getting SMART about Adapting Interventions” – Professor Susan Murphy, University of Michigan, U.S.A.
• 2013 – 11th Armitage Lecture – “Cross-study Reproducibility of Predictions, with Application to Genomics” – Professor Giovanni Parmigiani, Harvard School of Public Health, U.S.A.
• 2012 – 10th Armitage Lecture – “Purpose sensitive causal inference: the case of quality of (health) care and outcome comparisons across centers” – Professor Els Goetghebeur, University of Gent, Belgium.
• 2011 – 9th Armitage Lecture – “Design and Analysis of Life History Studies” – Professor Jerry Lawless, University of Waterloo, Canada.
• 2010 – 8th Armitage Lecture – “Understanding Treatment Effects: The Value of Integrating Longitudinal Dta and Survival Analysis” – Professor Odd O. Aalen, University of Oslo, Norway.
• 2009 – 7th Armitage Lecture – “Personalized Estimates of Disease Risk in Clinical Practice and Public Health” – Dr. Mitchell H. Gail, National Cancer Institute, U.S.A.
• 2008 – 6th Armitage Lecture – “Bayesian, Classical and Sensible Statistical Inference in Clinical Trials” – Professor Laurence Freedman, Gertner Institute for Epidemiology & Health Policy Research, Israel.
• 2007 – 5th Armitage Lecture – “Some of the Statistics in Bioinformatics” – Professor Patty Solomon, University of Adelaide, Australia.
• 2006 – 4th Armitage Lecture – “Joint Modelling of Longitudinal and Survival Data: A Simple Transformed Gaussian Approach” – Professor Peter Diggle, University of Lancaster, U.K.
• 2005 – 3rd Armitage Lecture – “Synthesising Data from Multiple Sources” – Professor Louise Ryan, Harvard University, U.S.A.
• 2004 – 2nd Armitage Lecture – “Event History Analysis in Epidemiology and Clinical Trials” – Professor Niels Keiding, University of Copenhagen, Denmark.
• 2003 – Inaugural Armitage Lecture – “Chronic Disease Prevention: Public Health Potential and Research Needs” – Professor Ross Prentice, Fred Hutchinson Cancer Research Centre, U.S.A.

Videos of Past Armitage Lectures

• 2022: The 19th Annual Armitage Lecture – “Biostatistics in Infectious Disease Research: Test-negative designs from Influenza, Dengue and Ebola, to COVID-19″
• 2021: The 18th Annual Armitage Lecture – “Statistical modelling for health technology assessment and the analysis of the value of information”
• 2019: The 17th Annual Armitage Lecture – “How do we learn what works? A two-step algorithm for causal inference from observational data” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2018: The 16th Annual Armitage Lecture – “Statistical methods for experimental design to gain greater biological insights about gene transcription” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2017: The 15th Annual Armitage Lecture – “Randomization: The Forgotten Component of the Randomized Clinical Trial” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2016: The 14th Annual Armitage Lecture – “Addressing Complex Sampling and Observation Schemes in Cohort Studies” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2015: The 13th Annual Armitage Lecture – “Predictive model assessment in infectious disease epidemiology” (Please note: Registration is required to view the link and registration is free. Thanks to Statistics Views and WorkCast)
• 2014: The 12th Annual Armitage Lecture – “Getting SMART about Adapting Interventions”
• 2013 – The 11th Annual Armitage Lecture– “Cross-study Reproducibility of Predictions, with Application to Genomics”
• 2012: The 10th Annual Armitage Lecture – “Purpose sensitive causal inference: the case of quality of (health) care and outcome comparisons across centers”
• 2011: The 9th Annual Armitage Lecture -“Design and Analysis of Life History Studies”
• 2010: The 8th Annual Armitage Lecture – “Understanding Treatment Effects: The Value of Integrating Longitudinal Data and Survival Analysis”
• 2009: The 7th Annual Armitage Lecture – “Personalized estimates of disease risk in clinical practice and public health”
• 2008: The 6th Annual Armitage Lecture – “Bayesian, Classical and Sensible Statistical Inference in Clinical Trials”
• 2007: The 5th Annual Armitage Lecture -“Some of the Statistics in Bioinformatics”

Videos of Armitage Interviews

Videos of interviews to Armitage Lecture’s Invited Speakers (made available via Wiley’s Statistics in Medicine journal)

• 2011: Statistics in Medicine – The Design and Analysis of Life History Studies. This article is based on the lecture by Jerald F. Lawless, who delivered the 2011 Armitage Lecture in the Medical Research Council Biostatistics Unit in Cambridge. Here Richard Cook, Professor of Statistics at the University of Waterloo interviews Professor Lawless about this article. Copyright © 2013 John Wiley & Sons, Ltd.
• 2007: Interview with Professor Peter Armitage, led by Professor David Spiegelhalter and Professor Vern Farewell

Related Publications

• “The 15th Armitage Lecture–Randomization: The forgotten component of the randomized clinical trial”, William F. Rosenberger, Diane Ushner, Yanying Wang, 2018, DOI: 10.1002/sim.7901
• “Probabilistic forecasting in infectious disease epidemiology: The thirteenth Armitage lecture”, Held, L., Meyer, S. and Bracher, J. Statistics in Medicine, 36, 3443-3460, 2017.
• “Armitage lecture 2010: Understanding treatment effects: the value of integrating longitudinal data and survival analysis”, Odd O. Aalen, Statistics in Medicine (2012) (DOI)
• “Some statistics in bioinformatics: the fifth Armitage Lecture”, Patricia J. Solomon, Statistics in Medicine, 28: 2833-2856 (2009) (DOI)
• “Joint modelling of repeated measurements and time-to-event outcomes: the fourth Armitage lecture”, Peter J. Diggle, Inés Sousa and Amanda G. Chetwynd, Statistics in Medicine, 27: 2981-2998 (2008) (DOI)
• “The second Armitage Lecture” (editorial), Simon G. Thompson, Statistics in Medicine, 25: 2341-2342 (2006) (DOI)
• “Event history analysis and the cross-section”, Neils Keiding, Statistics in Medicine, 25: 2343-2364 (2006) (DOI)
• “Chronic disease prevention: public health potential and research needs”, Ross L. Prentice, Statistics in Medicine, 23:3409-3420 (2004) (DOI)