The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models
Austin PC. Stat Methods Med Res. 2024; Apr 24 [Epub ahead of print].
Data linkage holds great promise for generating new information about people with intellectual and developmental disabilities (IDD) as a population, yet few centers have developed the infrastructure to utilize this methodology. Two examples, from Canada and Australia, describe their efforts in building data linkage capabilities, and how linked databases can be used to identify persons with IDD and used for population-based research. The value of data linkage is illustrated through new estimates of prevalence of IDD; health service utilization patterns; associations with sociodemographic characteristics, and with physical and mental health conditions (e.g., chronic diseases, injury, fertility, and depression); and findings on equity in medical treatments. Examples are provided of findings used for governmental policy and program planning.
Balogh R, Leonard H, Bourke J, Brameld K, Downs J, Hansen M, Glasson E, Lin E, Lloyd M, Lunsky Y, O'Donnell M, Shooshtari S, Wong K, Krahn G. Intellect Dev Disabil. 2019; 57(5):439-62. Epub 2019 Oct 1.
The ICES website uses cookies. If that’s okay with you, keep on browsing, or learn more about our Privacy Policy.