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A recent study conducted by the Institute for Clinical Evaluative Sciences in Toronto, Canada, focused on the use of multiple imputation to address missing data in research. The study compared different strategies for imputing missing predictor variables in a cause-specific hazard analysis model. While no strategy was consistently superior, the study suggested that the substantive model compatible fully conditional specification algorithm may be the preferred strategy. The research used a case study of patients hospitalized with acute myocardial infarction to illustrate the application of these strategies. [Extracted from the article]

A study conducted in Ontario, Canada compared the physical health and health services use between male and female veterans. The study found that female veterans had a higher risk of rheumatoid arthritis and asthma compared to male veterans, but a lower risk of myocardial infarction, hypertension, and diabetes. Female veterans also accessed health services more frequently than their male counterparts. These findings have important implications for healthcare policy and program planning to ensure that female veterans have access to appropriate health services. [Extracted from the article]