Faculty profile

Rob Deardon

ResearcherMathematics and StatisticsUniversity of Calgary

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.

Rob Deardon

Researcher

Mathematics and Statistics

Natural Sciences

University of Calgary

Calgary, Alberta, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
23 publications in the last five years, latest in 2026.
Senior (last) author on 8 recent papers, a sign of leading a research group.
Principal investigator on 2 research grants (2 NSERC), most recently in 2022.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Citations

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

Approximate inference Bayesian & computational statistics Behavioural change disease models Epidemic models Gaussian Process Emulation Geostatistical Models Inference Network-based disease models

Latest papers

Paper 1: a semi-automated approach facilitated the assessment of the certainty of evidence in a network meta-analysis: part 1 – Direct comparisons
Journal of Clinical Epidemiology · 2026
Paper 2: a semi-automated approach facilitated the assessment of the certainty of evidence for in a network meta-analysis: part 2 – indirect and mixed comparisons
Journal of Clinical Epidemiology · 2026
Disease‐modifying antirheumatic drugs (DMARDs) for rheumatoid arthritis after failure of biologic or targeted synthetic therapy: a systematic review and network meta‐analysis
Cochrane Database of Systematic Reviews · 2026

All 46 publications

Latest funding

Modelling human behaviour response to public policy and its impact on infectious disease spread - case studies using AI/ML, data science, game theory and optimization
NSERC · 2022 · Co-investigator
$200,000
Statistical inference for epidemic models accounting for population heterogeneity: computational efficiency & model development
NSERC · 2022 · Principal investigator
$111,000
Personalizing the choice of therapy in rheumatoid arthritis
CIHR · 2021 · Co-investigator
$100,000

All 12 grants and awards

46 publications.

Paper 1: a semi-automated approach facilitated the assessment of the certainty of evidence in a network meta-analysis: part 1 – Direct comparisons

Kamso MM, Whittle SL, Pardo JP, Buchbinder R, Wells G, Deardon R, Sajobi T, Tomlinson G, Elliott J, Thomas J

Journal of Clinical Epidemiology20262 citations

DOI: 10.1016/j.jclinepi.2025.112109

Paper 2: a semi-automated approach facilitated the assessment of the certainty of evidence for in a network meta-analysis: part 2 – indirect and mixed comparisons

Kamso MM, Whittle SL, Pardo JP, Buchbinder R, Wells G, Deardon R, Sajobi T, Tomlinson G, Elliott J, Thomas J

Journal of Clinical Epidemiology20261 citations

DOI: 10.1016/j.jclinepi.2025.112110

Disease‐modifying antirheumatic drugs (DMARDs) for rheumatoid arthritis after failure of biologic or targeted synthetic therapy: a systematic review and network meta‐analysis

Thomas<sup>a</sup> J, Kamso<sup>a</sup> MM, Whittle SL, Wells GA, Kelly SE, Pardo JP, Tugwell P, Johnston RV, Glennon V, Ejaredar M

Cochrane Database of Systematic Reviews20261 citations

DOI: 10.1002/14651858.cd013562.pub2

MRSA transmission in hospitals across Alberta, Canada: a comparative study combining unidentified colonized cases upon admission.

Li R, Deardon R, Li N, Conly J, Leal J

BMC infectious diseases2026

DOI: 10.1186/s12879-026-13839-w PMID: 42350988

Memory mechanisms for behavioural change in Bayesian individual-level spatial epidemic models.

Mao Y, Deardon R, Deeth LE

Infectious Disease Modelling2026

DOI: 10.1016/j.idm.2026.05.008 PMID: 42325476

Spatio-temporal spread of COVID-19 over three variant waves in the continental United States.

Callier V, Deardon R, Viboud C

Proceedings. Biological sciences2026

DOI: 10.1098/rspb.2025.1729 PMID: 41844243

Identifying memory mechanisms in Bayesian models of behavioural change during epidemics.

Mao Y, Deardon R, Deeth LE

Epidemics2026

DOI: 10.1016/j.epidem.2026.100927 PMID: 42296860

Risk of cancer among individuals with a history of bacterial sexually transmitted infections: A population-based study in Alberta, Canada.

Qureshi HM, Hughes T, Franco EL, Fiest KM, Gratrix J, Smyczek PA, Read R, Afzal AR, Deardon R, Kassam A, Fidler-Benaoudia MM

International journal of cancer2026

DOI: 10.1002/ijc.70215 PMID: 41238523

Interaction risk between invasive wild pigs and livestock: Implications for potential infectious disease transmission in Alberta, Canada.

Salazar LG, McKenzie H, Deardon R, Pepin KM, Brook R, Bahamon J, Neva C, Pruvot M

Preventive veterinary medicine2026

DOI: 10.1016/j.prevetmed.2026.106968 PMID: 42526313

Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections.

Ward C, Deardon R, Schmidt AM

Statistics in medicine2026

DOI: 10.1002/sim.70709 PMID: 42604828

Modelling human behaviour response to public policy and its impact on infectious disease spread - case studies using AI/ML, data science, game theory and optimization

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Cojocaru, Monica-Gabriela MG

Keywords: dynamical systems; game theory; individual-based models; machine learning; optimization; population behaviour models; startistical data models

$200,000

Statistical inference for epidemic models accounting for population heterogeneity: computational efficiency & model development

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Deardon, Rob

Keywords: epidemic models; inference; bayesian & computational statistics; spatial disease models; network-based disease models; behavioural change disease models; approximate inference; gaussian process emulation; geostatistical models

$111,000

Personalizing the choice of therapy in rheumatoid arthritis

Co-investigatorCIHR2021Project Grant - PA: Patient-Oriented Research: Early-Career Investigator

Principal investigators: Hazlewood, Glen S; Wells, George A

Keywords: Comparative Effectiveness Research; Network Meta-Analysis; Patient Decision Aids; Predictive Models; Rheumatoid Arthritis

$100,000

A GPU Server for Integration of Machine Learning in Mathematics and Statistics Research and Training

Co-investigatorNSERC2021Research Tools and Instruments

Principal investigators: Zhang, Qingrun

$149,886

Personalizing the choice of therapy in rheumatoid arthritis

Co-investigatorCIHR2021Project Grant

Principal investigators: Hazlewood, Glen S; Wells, George A

Keywords: Comparative Effectiveness Research; Network Meta-Analysis; Patient Decision Aids; Predictive Models; Rhematoid Arthritis

$420,752

Modeling of COVID-19 Pandemic in Canada: Projection and Interventions_x000d_

Co-investigatorNSERC2020Alliance Grants

Principal investigators: Torabi, Mahmoud

$50,000

CANMOD: Canadian Network for Modelling Infectious Disease

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Colijn, Caroline

$2,500,000

Statistical Methods for Managing Emerging Infectious Diseases

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Brown, Patrick

$750,000

A pragmatic registry-based randomized trial of drug tapering in rheumatoid arthritis

Co-investigatorCIHR2017Project Grant

Principal investigators: Hazlewood, Glen S; Bykerk, Vivian P

Keywords: Discrete-Choice Experiment; Health Economics; Patient Preferences; Pragmatic Randomized Trials; Rheumatoid Arthritis; Treatment Tapering

$638,776

Establishing the foundation for a patient-centered pragmatic registry-randomized trial of treatment tapering in rheumatoid arthritis

Co-investigatorCIHR2016Catalyst Grant: SPOR Innovative Clinical Trials (iCT)

Principal investigators: Hazlewood, Glen S; Richards, Dawn; Bartlett, Susan J; Bykerk, Vivian P; Marshall, Deborah A; Pope, Janet E; Wells, George A

Keywords: Discrete-Choice Experiment; Patient Preferences; Physician Preferences; Pragmatic Randomized Trials; Qualitative Research; Rheumatoid Arthritis; Treatment Tapering

$99,724

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: Approximate inference Dear Professor Deardon, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Paper 1: a semi-automated approach facilitated the assessment of the certainty of evidence in a network meta-analysis: part 1 – Direct comparisons" (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Statistical inference for epidemic models accounting for population heterogeneity: computational efficiency & model development" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

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Rob Deardon

Research

Latest papers

Latest funding

Paper 1: a semi-automated approach facilitated the assessment of the certainty of evidence in a network meta-analysis: part 1 – Direct comparisons

Paper 2: a semi-automated approach facilitated the assessment of the certainty of evidence for in a network meta-analysis: part 2 – indirect and mixed comparisons

Disease‐modifying antirheumatic drugs (DMARDs) for rheumatoid arthritis after failure of biologic or targeted synthetic therapy: a systematic review and network meta‐analysis

MRSA transmission in hospitals across Alberta, Canada: a comparative study combining unidentified colonized cases upon admission.

Memory mechanisms for behavioural change in Bayesian individual-level spatial epidemic models.

Spatio-temporal spread of COVID-19 over three variant waves in the continental United States.

Identifying memory mechanisms in Bayesian models of behavioural change during epidemics.

Risk of cancer among individuals with a history of bacterial sexually transmitted infections: A population-based study in Alberta, Canada.

Interaction risk between invasive wild pigs and livestock: Implications for potential infectious disease transmission in Alberta, Canada.

Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections.

Modelling human behaviour response to public policy and its impact on infectious disease spread - case studies using AI/ML, data science, game theory and optimization

Statistical inference for epidemic models accounting for population heterogeneity: computational efficiency & model development

Personalizing the choice of therapy in rheumatoid arthritis

A GPU Server for Integration of Machine Learning in Mathematics and Statistics Research and Training

Personalizing the choice of therapy in rheumatoid arthritis

Modeling of COVID-19 Pandemic in Canada: Projection and Interventions_x000d_

CANMOD: Canadian Network for Modelling Infectious Disease

Statistical Methods for Managing Emerging Infectious Diseases

A pragmatic registry-based randomized trial of drug tapering in rheumatoid arthritis

Establishing the foundation for a patient-centered pragmatic registry-randomized trial of treatment tapering in rheumatoid arthritis

Frequent collaborators

George Tomlinson

Tolulope Sajobi

George Wells

Zeny Feng

Romina Brignardello

Peter Tugwell

Mahmoud Torabi

Gyanendra Pokharel

Cheryl Barnabe

Christopher Naugler

Glen Hazlewood

Alain Bitton

Tyler Williamson

Janet Pope

Harminder Singh

John Conly

Elie Akl

Michael Pickles

Mathieu Pruvot

Megan Thomas

Baljit Singh