Helana Marie Boutros, Sabastian Koprich, Abigail J Simms, Noel Tsui, Rose-Anne Boyle, Jen Harrison, Melissa Riddell, Santana Sanftenberg, Shelley Cripps, Sarah A Edwards
Landscape of Métis health and wellness: protocol for a scoping review
BMJ open
inherent part epidemiologic research practical decisions made data collection analysis potential impact measurement disease occurrence well statistical causal inference results however computational skills needed collect manipulate evaluate data always focus educational programs increasing interest data science suggest data literacy become paramount ensure valid estimation article first motivate practical concerns modern epidemiology student particularly relates challenges causal inference second discuss concerns may manifested typical epidemiological analyses identify potential bias third present case study exemplifies entire process finally draw attention resources help epidemiology students connect theoretical underpinning science practical considerations described herein