Dealing with missing data in Canadian Longitudinal Studying on Aging (CLSA): a comparison of complete case analysis and multiple imputation method using DXA data as an example Learn More
Development of interpretable machine learning models for fall prediction in older adults using the CLSA comprehensive dataset Learn More
Predicting disease progression in age-related macular degeneration using genetic, retinal pathology biomarkers, demographic and environmental factors Learn More
The association between chronic disease and COVID-19 public health preventive measures among older adults: a cohort study using the Canadian Longitudinal Study on Aging (CLSA) Learn More
Changes in smoking, alcohol and cannabis use in older adults in Canada during the COVID-19 pandemic: a Canadian Longitudinal Study on Aging (CLSA) cohort study Learn More
Relationship between biomarkers and musculoskeletal pain and falls in older adults – an analysis of the Canadian Longitudinal Study on Aging Learn More
Exploring associations between environmental exposures, biological indicators and chronic disease Learn More
Examining characteristics, patterns, health outcomes and potentially inappropriate medications among older adults living with polypharmacy in the Canadian Longitudinal Study on Aging (CLSA) Learn More
Examining the occurrence of multiple chronic diseases and multiple prescribed medications and impact on health status and health outcomes among community-dwelling adults and older adults in Canada Learn More
The role of exercise intensity on the longitudinal trajectories of cardiovascular, cardiometabolic and functional outcomes in stroke recovery Learn More
