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].
There is growing recognition of the importance of patient, public and community engagement in health research, which has not been used widely in analyzing health administrative datasets. In Ontario, health data are stewarded by ICES, whose strategic decision making is guided by a diverse Public Advisory Council (PAC). In a first foray into publicly led projects, the ICES PAC undertook an analysis project on mental health and addiction health service use. Public members guided the project through all stages of research. This generated critical lessons for ICES on improving participation, collaboration and trust.
Leong-Sit E, Yussuf-Homenauth S, Johnson J, Johnson S, Kirk J, Samuels N, Ferreira-Legere L, Campitelli M, Paterson MJ, Schull MJ.
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