Module 3 of the training path “Medical Writing and Statistics in the Medical Field” will focus on the construction of the scientific product.
The third module, at the end of the course, will provide learners with the tools they need to translate ideas and contents into the final product: certainly the most fascinating and qualifying phase of the drafting process. In this module the speaker will stimulate the participants and help them improve their thinking speed, logical connection and synthesis skills.
What you will learn in this module:
- The construction and visualization of a working scheme
- The identification and valorisation of ideas according to the targets
- Knowledge of preparatory software for this purpose
REGISTER AT THE TRAINING PATH MEDICAL WRITING AND STATISTICS!
The training path “Medical Writing and Statistics in the Medical Field: from the scientific source to the final paper”, which is theoretical-practical in nature, aims to illustrate in a simple and logical way what knowledge, skills and tools are needed for the production of a scientific product in the clinical field. To this end, this course aims to transfer know-how to students, not only through face-to-face teachings, but also through practical coaching, to facilitate the transfer of concepts from theory to implementation practice. The Training Path consists of three modules, which can also be attended individually, in which there is a 60/40 division between theoretical and practical hours. Furthermore, the training path includes the basic notions for the use of software for writing, image preparation/processing and statistical analysis, tools whose knowledge is essential in the drafting phase of any manuscript.
The course consists of 3 modules:
MODULE 1: Medical Writing
MODULE 2: Medical Statistics
MODULE 3: The construction of the scientific product
It is possible to register for individual modules or for the training path. If you participate in all 3 modules the price is €1650!
Key points of the training
- What is a scientific paper
- What is needed to effectively build a clear and effective scientific contribution
- The importance and knowledge of the most useful databases and computer software
- Knowing how to set up and manage text, images and data to support scientific evidence
- How to best use software for writing, creating and managing images and analyzing and graphical representation of numerical data.
09:00 – 13:00 COURSE SESSION
- The construction of the scientific product
- The magazine and the title
- Materials and methods: statistical analysis, data production and graphical representation
- Results: representation of statistical significance and description of difference ratios
- Discussion: comparison between the manuscript in progress and the literature data (how and when)
- Conclusion: verification and denial of the initial hypothesis
- Bibliography: Choosing the most suitable sources for discussion and conclusion.
- Use of search engines for bibliographic sources (Practical Part)
- Use and software for writing (Practical Part)
- Use of software for the management of the bibliographic part (Practical Part)
The path “Medical Writing and Statistics in the Medical Field: from the scientific source to the final report” is aimed at medical management, scientific management and research and development personnel, as well as clinical research and pharmacovigilance. The course is also useful for staff in the Marketing and Communication department, to learn how to effectively interpret and therefore communicate clinical data. The course is aimed at all managerial and/or graduate personnel who need a complete and practical introduction to rationally approach the publishing phase of their career.
The course will be carried out through live lectures. Practical examples will be showcased, providing delegates with real life examples to be applied in their daily job life.
For online trainings the access link will be sent 2-3 days before the start of the training.
5% discount for registrations within 1 month before the start of the training, 10% discount for registrations within 2 months before the start of the training. VAT not included. Please inquire for discounts for multiple registrations. Discounts are not cumulative.
In order to cancel enrolment to an event, please email email@example.com within 2 weeks before the starting date of the event. Once this term will be expired, the entire fee will be charged.
It is possible to replace a participant attendance without additional cost, simply by contacting firstname.lastname@example.org. It is asked to notify the participant replacement request within 5 days before the starting date of the course/event, specifying the full name and surname of the enrolled participant as well as the full name and surname of the substitute.
If the minimum number of participants is not reached, Pharma Education Center reserves the right to cancel or schedule the event for another date. Formal communication will be given within 5 days before the event date. In this case Pharma Education Center will refund the registration fee in full and without additional charges. Alternatively, the participant can request a spendable coupon for participating in another PEC event scheduled in the current year.
Post-Doc Fellowship presso University of Pisa, Start-Up Unit, AIRC 2014
He is graduated in Biological Sciences and after he obtained a specialization in Clinical Pathology and two PhDs: the first in Molecular and Experimental Oncology, while the second in Clinical and Translational Sciences. Funel has a long curriculum of research grants, during which he has established contacts and collaborations with companies involved in the clinical field in the fields of oncology (hepato-bilio-pancreatic district), pathological anatomy, molecular biology, dermatology, dentistry and pharmacology, producing and participating in over 100 scientific contributions. Furthermore, he obtained the positions of Associate Editor and Reviewer of international editorial series (BMC, MDPI and Hindawii) and the possession of a BASIC language programmer diploma.
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