Faculty profile
KEHINDE OLOBATUYI
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Victoria directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
A Bayesian joint bent-cable model for longitudinal measurements and survival time with heterogeneous random-effects distributions.
Journal of biopharmaceutical statistics · 2026
Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada.
Infectious Disease Modelling · 2026 · first author
Latest funding
- $270,000
Emerging Infectious Diseases and Health Emergencies: Estimating the prevalence of the bacteria pneumonia and COVID-19 diseases, and quantifying COVID-19 impacts on vulnerable population such as opioid overdose for effective monitoring and planning.
CIHR · 2023 · Nominated PI
2 publications.
A Bayesian joint bent-cable model for longitudinal measurements and survival time with heterogeneous random-effects distributions.
Ariyo O, Olobatuyi K, Baghfalaki T
Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada.
Olobatuyi K, Ma J, Brown P, Cowen LLE
Emerging Infectious Diseases and Health Emergencies: Estimating the prevalence of the bacteria pneumonia and COVID-19 diseases, and quantifying COVID-19 impacts on vulnerable population such as opioid overdose for effective monitoring and planning.
Principal investigators: OLOBATUYI, KEHINDE
Keywords: Bacteria Pneumonia; Covid-19 Disease Prevalence; Covid-19 Impacts On The Vulnerable Population; Opioid Overdose; Streptococcus Pneumococcal Serotype
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.