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Hire Meijiao G.

Canada

PHD-trained biostatistician & Data Analyst. Expert in survival analysis, mixed-effects models, meta-analysis | SAS, R

Profile Summary

Meijiao Guan, PhD, is a Senior Statistician at the BC Renal Agency, Provincial Health Services Authority, in Vancouver, Canada. She holds a PhD in Mathematics and a Master’s degree in Statistics from the University of British Columbia. Dr. Guan has more than 12 years of experience in statistical modeling, health data science, and quantitative analysis of large-scale healthcare datasets. Her work focuses on the development and application of advanced statistical and machine learning methods to support clinical research, population health studies, and health system performance evaluation. She has extensive experience working with complex healthcare data sources, including electronic health records, disease registries, and administrative health databases. Her research integrates multiple data streams to generate evidence that supports healthcare planning, resource allocation, and policy evaluation. Dr. Guan’s methodological expertise includes regression modeling, longitudinal and mixed-effects models, survival analysis, time-series forecasting, meta-analysis, and predictive modeling. She also has experience developing and validating machine learning pipelines for risk prediction and outcome modeling using large observational datasets. Her work emphasizes reproducible analytical workflows, rigorous data validation, and transparent statistical reporting. At the BC Renal Agency, she develops predictive models and time-series forecasting frameworks to evaluate population trends and healthcare resource needs for patients with chronic kidney disease (CKD). She also applies advanced longitudinal and time-to-event models to study disease progression and outcomes, and develops interactive dashboards and performance monitoring systems to support planning and evaluation of renal health services across British Columbia. Prior to this role, Dr. Guan worked at the Centre for Advancing Health Outcomes at the University of British Columbia, where she collaborated with clinicians, epidemiologists, and health services researchers on studies examining healthcare utilization, treatment patterns, and clinical outcomes. Her work included the integration and analysis of large administrative health databases, cohort datasets, and linked health records. She contributed to study design, data linkage, statistical modeling, and interpretation of results for a wide range of population health and clinical research projects. Earlier in her career, she worked as a statistician at the Centre for Improved Cardiovascular Health at the University of British Columbia, where she served as a lead statistician on projects investigating outcomes following cardiac arrest using national registry and provincial administrative datasets. Her responsibilities included statistical analysis, development of analytical workflows, and collaboration with clinical researchers to translate analytical findings into scientific publications and conference presentations. Dr. Guan is highly experienced in statistical programming and data engineering, including SAS, R, Python, and SQL, as well as data visualization and reporting tools such as Power BI and Excel. She is skilled in extracting, transforming, integrating, and validating complex multi-source datasets to support rigorous quantitative research. She has also contributed to systematic literature reviews and meta-analyses and has co-authored multiple peer-reviewed manuscripts. Her research interests include chronic kidney disease, cardiovascular outcomes, health services research, and the application of advanced statistical and machine learning methods to large-scale health data. Her work aims to improve understanding of disease progression, support evidence-based clinical decision-making, and enhance the performance and sustainability of healthcare systems.

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Pattern Recognition
• ☆ Deep Learning
• ☆ Data Security
• ☆ Business Analytics
• ☆ Financial Modeling

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, User Research, Meta-Research, Feasibility Study, Systematic Literature Review, Secondary Data Collection

Consulting Healthcare Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Work Experience

Senior Statistician

Provincial Health Services Authority

September 2024 - Present

Senior Statistician

Centre for Advancing Health Outcomes

April 2019 - September 2024

Statistician

British Columbia Centre of Excellence for Women's Health

June 2013 - March 2019

Education

MSc (Department of Statistics)

University of British Columbia

2010 - 2012

PhD (Department of Mathematics)

University of British Columbia

2003 - 2009

Certifications

• SAS Certified Advanced Programmer for SAS 9

  SAS Institute Inc

  March 2013 - Present

Publications

JOURNAL ARTICLE

Meijiao Guan, Carlo Alberto Barcella, Brian E Grunau, Nathaniel M Hawkins, Marc W Deyell, Jason G Andrade, Jennie S Helmer, Graham C Wong, Kristian H Kragholm, Karin H Humphries, et al. (2024). Long-term outcomes among out-of-hospital cardiac arrest survivors with reversible vs. non-reversible causes . European Heart Journal: Acute Cardiovascular Care.

J. Gibson, R. Yao, M. Guan, E. Karim, C. Simmons, M. Davis (2023). INTERRUPTIONS IN TRASTUZUMAB THERAPY FOR BREAST CANCER ARE ASSOCIATED WITH ADVERSE CARDIOVASCULAR AND ONCOLOGIC OUTCOMES . Canadian Journal of Cardiology.

Meijiao Guan (2023). Atherosclerotic Coronary Plaque Regression and Risk of Adverse Cardiovascular Events . JAMA Cardiology.

Meijiao Guan, Angela Russolillo, Elizabeth J. Dogherty, Maja Kolar, Jennifer Du, Elísabet Brynjarsdóttir, Michelle Carter (2023). Attitudes towards people who use substances: a survey of mental health clinicians from an urban hospital in British Columbia . Harm Reduction Journal.

Meijiao Guan, Jocelyn Chai, Christopher B. Fordyce, Karin Humphries, Jacob Hutton, Jim Christenson, Brian Grunau (2023). The association of duration of resuscitation and long-term survival and functional outcomes after out-of-hospital cardiac arrest . Resuscitation.

Meijiao Guan, Christopher B. Fordyce, Brian E. Grunau, Nathaniel M. Hawkins, May K. Lee, Jennie S. Helmer, Graham C. Wong, Karin H. Humphries, Jim Christenson (2022). Long-term Mortality, Readmission, and Resource Utilization Among Hospital Survivors of Out-of-Hospital Cardiac Arrest . Canadian Journal of Cardiology.

Meijiao Guan, Rahul Bhindi, Yinshan Zhao, Karin H. Humphries, G.B. John Mancini (2019). Coronary atheroma regression and adverse cardiac events: A systematic review and meta-regression analysis . Atherosclerosis.

Meijiao Guan, Janarthanan Sathananthan, Sandra Lauck, John Cairns, Karin Humphries, Dale Murdoch, Mark Hensey, Richard Cook, Julie Park, Yinshan Zhao, et al. (2018). TCT-225 Impact of frailty on a minimalist approach and early discharge following TAVR: insights from the 3M TAVR Study . Journal of the American College of Cardiology.

Meijiao Guan, Nadia A. Khan, Simon W. Rabkin, Yinshan Zhao, Finlay A. McAlister, Julie E. Park, Sammy Chan, Karin H. Humphries (2018). Effect of Lowering Diastolic Pressure in Patients With and Without Cardiovascular Disease . Hypertension.

Y. Zhao, J. Park, M. Izadnegahdar, M. Lee, N. Khan, S. Rabkin, M. Guan, M. Grubisic, D. Peng, P. Daniele, et al. (2017). FACTORS ASSOCIATED WITH VERY LOW DIASTOLIC BLOOD PRESSURE IN THE SPRINT TRIAL . Canadian Journal of Cardiology.

Meijiao Guan, Nazlee Tabarsi, Jacob Simmonds, Mustafa Toma, Marla Kiess, Victor Tsang, Peter Ruygrok, Igor Konstantinov, William Shi, Jasmine Grewal (2017). Meta-Analysis of the Effectiveness of Heart Transplantation in Patients With a Failing Fontan . The American Journal of Cardiology.

Meijiao Guan, Tara L. Sedlak, May Lee, Karin H. Humphries, B. Delia Johnson, Carl J. Pepine, C. Noel Bairey Merz (2016). Ischemic Predictors of Outcomes in Women With Signs and Symptoms of Ischemia and Nonobstructive Coronary Artery Disease . JAMA Cardiology.