Dr. David Soave
Dr. David Soave’s research focuses on two main areas:
- Developing methods and computational tools for gene mapping of complex traits utilizing big databases; and
- Developing methods for the design and analysis of studies based on subsets of large, prospective cohorts.
Dr. Soave is affiliated with the Ontario Institute for Cancer Research and the Ontario Health Study where he collaborates with population geneticists and molecular biologists to develop methods for analyzing complex biological and health outcome data related to various cancer tissue types.
- Associate, OICR
- Assistant Professor, Wilfred Laurier University
- Statistical genetics
- Predictive modelling for health outcomes
- Design and analysis of two-phase studies
- Risk prediction modeling
- Survival analysis
- Longitudinal data analysis
- Soave DM, Strug LJ. Testing Calibration of Cox Survival Models at Extremes of Event Risk. Front Genet. 2018;9:177.
- Soave D, Sun L. A generalized Levene’s scale test for variance heterogeneity in the presence of sample correlation and group uncertainty. Biometrics. 2017;73(3):960-971.
- Soave D, Corvol H, Panjwani N, …, Strug LJ, Sun L. A Joint Location-Scale Test Improves Power to Detect Associated SNPs, Gene Sets, and Pathways. Am J Hum Genet. 2015;97(1):125-38.
- Soave D, Miller MR, Keenan K, …, Strug LJ. Evidence for a causal relationship between early exocrine pancreatic disease and cystic fibrosis-related diabetes: a Mendelian randomization study. Diabetes. 2014;63(6):2114-9.
- Joint Location Scale (JLS) test for simultaneously testing mean and variance differences between genotype groups. Related tools: Generalized JLS (gJLS) test and Joint Location and Scale Score Tests (JLS.Score)
- Canadian Statistical Sciences Institute and OICR, Biostatistics Training Initiative Fellowship Award, 2016
Previous experience and education
- Lecturer, Department of Molecular Genetics, University of Toronto
- Assistant Professor, Canadian Memorial Chiropractic College
Opportunities to collaborate
If interested in collaborating with Dr. Soave, please contact him directly.
Visit OICR’s Collaborative Research Resources directory for more opportunities to collaborate with OICR researchers.
Dr. David Soave