In real world observational research, two basic components of any study are exposure and outcome. In absence of randomization, bias occurs when a measure of association between exposure and outcome is systematically wrong. Selection bias, misclassification and confounding are typical problems that must be faced by the researcher so that a causal unbiased association between exposure and outcome is estimated. Knowing and understanding these feared demons is the first step for fighting them, armed with the powerful weapons of study design and statistical analysis.
Speaker: Fabio Ferri, Medineos Epidemiology and Outcome Research Specialist
Graduated in Biomolecular and Cellular Sciences at the University of Ferrara. He has skills in designing observational studies, study protocol writing, planning and implementation of statistical analysis in SAS, statistical reports and clinical reports, publication of results, and evaluation of psychometric properties of questionnaires. He is also lecturer in webinars and training courses on statistical and epidemiological methods.
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The webinar is free and reserved to MediNeos clients