About
Understanding the role of statistics and statisticians in protocol planning, report review or publication submission, is essential to produce an effective document.
The course aims at increasing knowledge of basic statistical principles by analysing case studies (study protocol and/or scientific articles) to establish shared concepts.
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.
Lecturers
Fabrizio D'Ascenzo
Fabrizio works as researcher and interventional cardiologist in the Division of Cardiology of the University of Turin. His main interests of research range from management of Acute Coronary Syndromes (ACSs) both from an interventional point of view and secondary prevention to Transcatheter Aortic Valve Implantation (TAVI) focusing on the impact of Artificial Intelligence (AI) on medicine. He has published over 300 papers with an H-Index of 45 (Scopus).
He has taught several courses on statistics for non-statisticians, medical reading/writing combining both clinical and scientific skills.
This online training is divided in 3 modules:
MODULE 1 | 06 November 2024 from 09:00 am to 12:00 pm CET
MODULE 2 | 13 November 2024 from 09:00 am to 12:00 pm CET
MODULE 3 | 20 November 2024 from 09:00 am to 11:30 am CET
Some days before the online training you will receive all details about the connection.
The course will proceed with a minimum number of participants. Should this number not be reached the registered participants will be notified one week prior to the commencement of the course.
Early Bird: € 915,00* (until 16/10/2024)
Ordinary:€ 1.120,00*
Freelance – Individual – Academy – Public Administration**: € 640,00*
*for Italian companies: +22% VAT
**Early Bird discount not applicable to Freelance – Individual – Academy – Public Administration fee
The fee includes: tuitions, organizational office assistance, teaching materials and attendance certificate that will be sent after the training via e-mail.
Barbara Rossi
Training & Quality Manager
At the end of the training, you will be able to
Online interactive training on Zoom platform.
LS Academy will provide the access link to the virtual platform a few days before the training.
