Microcreditation in Statistical Modelling in Health

The opening of the course in Statistical Modelling in Health is justified by the growing need for training health professionals and those in related fields in the application of advanced statistical methods for the analysis of clinical and epidemiological data. Statistics plays a crucial role in public health, clinical decision-making, and the development of effective health policies. In this context, statistical modelling is essential for understanding and interpreting complex phenomena, allowing professionals to identify patterns, predict outcomes, and make informed decisions.
Throughout the course, fundamental concepts inherent to inferential statistical modelling will be addressed. With the integration of tools such as Multiple Linear Regression, Logistic Regression, Survival Analysis, and ROC Curves, the course ensures that participants acquire the necessary skills to handle the complexity of health data and make evidence-based decisions aimed at improving public health.

Holders of a higher education degree-granting qualification.

Portuguese