About the VHIR
Here at the Vall d'Hebron Research Institute (VHIR) we promote biomedical research, innovation and teaching. Over 1,800 people are seeking to understand diseases today so the treatment can be improved tomorrow.
Research
We are working to understand diseases, to find out how they operate and to create better treatments for patients. Get to know about our groups and their lines of research.
People
People are the centre of the Vall d'Hebron Research Institute (VHIR). This is why we are bound by the principles of freedom of research, gender equality and professional attitudes that HRS4R promotes.
Clinical trials
Our work is not just basic or translational; we are leaders in clinical research. Enter and find about the clinical trials we are conducting and why we are a world reference in this field.
Progress
Our aim is to make the research carried out at the Vall d’Hebron Research Institute (VHIR) a driving force for transformation. How? By identifying new channels and solutions for the promotion of people's health and well-being.
Core facilities
We offer specialist support for researchers, internal and external alike, ranging from specific services to preparing complete projects. All this, from a perspective of quality and speed of response.
News
We offer you a gateway for staying up to date on everything going on at the Vall d’Hebron Research Institute (VHIR), from the latest news to future solidarity activities and initiatives that we are organising.
Speaker: Dr. Santiago Pérez Hoyos, cap d'Unitat, Unitat d'Estadística i Bioinformàtica (UEB)-Core Facilities Preclínics-Àrea de Core Facilities VHIR
CV: statistician and Epidemiologist of the Statistics and Bioinformatics Unit (UEB) of VHIR since 2010 and head since 2021. More than 30 years in consulting and teaching tasks to help researchers and clinicians in the design and statistical data analysis of their studies. Member of the Animal Experimentation Ethics Committee of the Vall Hebron campus.
Abstract: calculating the sample size of an experiment is crucial due to ethical implications of using animals in clinical experimentation. An experiment with an insufficient size may lead to not find important effects, and an experiment with an excessive size may cause animals to suffer unnecessarily. In this session we will introduce the main requirements for calculating an optimal sample size with examples using free software. -Statistical concepts in the calculation of sample size *Effect size *Standard deviation or variability *Power *Level of significance -Sample size calculation for dichotomous response variables in 2 groups -Sample size calculation for continuous response variables in 2 groups -Software for sample size calculation: G Power -What to do when there is no information: The Resource equation. -Practical examples in different experimental designs
Host: Dr. Marta Rosal Fontana, Coordinador/a, Core Facilities Preclínics-Àrea de Core Facilities VHIR
Register here to attend by Zoom: https://gencat.zoom.us/j/94702143533
