The Person-centered Methods & Analytics (PcMA) research lab explores novel analytic methods & solutions to make sense of data to inform decisions. PI:@dr_sajobi
University of Calgary
Joined May 2022
- Tweets427
- Following29
- Followers72
- Likes496
Pinned Tweet
Congratulations to our director Dr. @dr_sajobi on his appointment as the Academic Director, Office of Equity, Diversity and Inclusion (EDI Data, Research, and Strategy), @UCalgary.
It's #PostdocAppreciationWeek and we're spotlighting Dr. Henry Michael (@brainplast) from the PCMA Lab.
@dr_sajobi @UCalgaryMed @LibinInstitute @OBrien_IPH
He's developing a Thermoregulatory Medication Burden Score to help clinicians identify vulnerable patients before a heatwave becomes a health emergency.
This summer he was selected for the @CIHR_IRSC Institute of Aging Summer Program. Henry brings a person-centred lens to everything he does. Congrats Henry, and thank you 👏
#NPAW2026 #PCMALab #UCalgary #CIHR
A proud moment for the @pcma_lab at @SSC_stat 2026!
Our lab had a strong showing at the @SSC_stat Annual Meeting in Hamilton, with four presentations spanning trial methodology, missing data, randomization, and psychometrics.
@UCalgaryMed @OBrien_IPH
🔹 Tim Biziaev (Statistician) — Minimal Sufficient Balance Randomization and Site-specific Group Size Imbalance in Multicenter Acute Stroke Trials
🔹 @a_predicare (2nd year PhD student) — Detecting Longitudinal Measurement Non-Invariance PROs Using Graded Response Model Trees
Though these talks were methodologically distinct, they all share the same underlying commitment: developing statistical tools that are rigorous, practical, and ultimately serve the patients and clinicians who depend on the evidence we produce.
@OBrien_IPH @UCalgaryMed
Congrats to PhD student @a_predicare on the CRAN release of grmtree! The package implements tree-based Graded Response Models for detecting differential item functioning in patient-reported outcomes.
CRAN.R-project.org/package=g…
#RStats #Biostatistics
@dr_sajobi
Congratulations to Ayo Okikiolu on successfully defending his MSc thesis in Neuroscience at @UCalgary!
His research examined pragmatic clinical trial design and health services outcomes in acute stroke care.
@dr_sajobi @OBrienIPH
Following the successful completion of his MSc, Ayo will be transitioning into the medical school component of the Leaders in Medicine Program at @UCalgary this July.
Wishing you continued success, Ayo!
Person-centered Methods and Analytics Lab retweeted
Congratulations to the second cohort of CANSTAT fellows on completing the program! 👏 We wish you the best with your future endeavors!
Special thanks to the incredible mentors & host institutions for your support, & co-funders @HlthResearchBC & @ABInnovates!
Our lab had a strong presence presenting at #CSEB2025 in Montreal!
Henry Michael (Postdoctoral Associate): Sedative co-medication & frailty in HIV.
Olayinka Arimoro (PhD Student): Response shift in PROMs
Tim Biziaev (Stats. Analyst): Risk prediction models in multivessel CAD
Proud of our team advancing patient-centered methods!
@dr_sajobi @CAN_STAT @LibinInstitute @OBrien_IPH
Person-centered Methods and Analytics Lab retweeted
Presented my work on response shift in children with chronic illness at #CSEB2025 in Montreal.
Grateful to Dr. Ferro (@ARCH_Lab) for data access & my supervisors Drs. @dr_sajobi & Lix for mentorship. Loved reconnecting, meeting new colleagues & exploring the city!
@UCalgaryMed
It was a pleasure to host Dr. Jessica Roydhouse at @UCalgaryMed last Friday. She delivered a fantastic talk on the Prostate Cancer Outcomes Registry – Tasmania & discussed future research and grant collaborations with our lab and @UCalgaryMed researchers.
@dr_sajobi @ISOQOL
Congratulations to Gabriel Afriyie, who successfully passed his PhD candidacy examination last Thursday.
His thesis is titled "Some contributions to classification models for multivariate longitudinal data."
@MrGabby1 @dr_sajobi @LibinInstitute @OBrien_IPH
Person-centered Methods and Analytics Lab retweeted
TRAINEE SPOTLIGHT
Pegah Noorshargh is a first-year MSc student in Biostatistics. Her graduate research focuses on developing novel machine-learning algorithms to examine heterogeneity in how patients with heart disease respond to & interpret questions about their health status.
TRAINEE SPOTLIGHT
Pegah Noorshargh is a first-year MSc student in Biostatistics. Her graduate research focuses on developing novel machine-learning algorithms to examine heterogeneity in how patients with heart disease respond to & interpret questions about their health status.
Read more about her and her work.
@dr_sajobi
@LibinInstitute @OBrien_IPH
#traineespotlight #trainee #biostatistics