During the training the following topics will be discussed:
– Dicotomic and continuous variable
– Bivariate analysis
– Test for normality
– Frequentist or bayesian statistic
– Measures of risk: Odds Ratio, Hazard Ratio, Absolute Risk, NNT
– Observational studies: how they are constructed, which patients they include, the difference between prospective and retrospective studies and quality assessment
– Multivariate analyses: logistic regression, multivariate Cox analysis and propensity score
– How to read an observational study
– Randomised trials (RCTs): history, superiority and non-inferiority studies, quality assessment
– Blinding, sample size calculation and the difference between pharmacological and non-pharmacological RCTs
– How to read a randomised trial
– AI applied to research: practical tips
– Exercise on practical examples proposed by the trainees or by the lecturer.
The course is addressed to clinical operation manager, clinical study coordinator, CRAs, medical affairs manager, medical science liaison and anyone who wants to improve knowledge in the field.
Participant experience
Participants should have familiarity with the basic principles governing clinical trials and the elements necessary to define a study protocol.
The online course includes theoretical lectures and exercises on practical examples proposed by the trainees or the lecturer.