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Description
This webinar presented quantitative strategies to assess the impact of unaddressed sources of bias and confounding in the interpretation of findings in observational research designs. Emphasis was placed on the approach to and implementation of these methods, drawing heavily on the presenters' work recently published in the Journal of Dental Research. Following a general overview of the principles of bias and confounding in epidemiologic investigations, the presenters will engage participants through a detailed application of quantitative bias analysis to a prospective cohort study of preconception oral health in relation to time-to-pregnancy. Participation of students/trainees/researchers of all levels is highly encouraged.
Learning Objectives
- Present quantitative strategies to assess the impact of unaddressed sources of bias and confounding in the interpretation of findings observational research designs
- Discuss implementation strategies for unaddressed sources of bias and confounding in quantitative research