Students will be able to determine the statistical methods needed to answer scientific questions arising when conducting a research study. They will learn to formulate statistical hypotheses from a scientific question and answer from a statistical standpoint. You will learn to make models of multiple linear regression, logistic regression and Cox regression, and selecting the regression model according to the purpose of the study and the data available.

The students will develop skills to read critically the statistical methodology and the results of a scientific article and they will also be able to interpret and communicate the results of the regression models. Additionally, the student will be familiar with the use of statistical software that allows you to perform the analysis of the data generated in your research, knowing estimate, form and validate regression models using such statistical software.

 At the end of the course, the student will be able to:

•  Apply the scientific method, research design, advanced biostatistics, and quantitative and qualitative data analysis tools to solve a question or test a hypothesis in the clinical setting.
• Design an advanced research project on clinical aspects following ethical standards and scientific rigour and respecting the fundamental rights of equality between men and women, and the promotion of human rights and the values of a culture of peace and democratic values, using language that avoids androcentrism and stereotypes.
• Describe the most outstanding research methodologies and designs in the field of health.
• Use tools to critically evaluate projects, protocols and research articles, both qualitative and quantitative, in the field of health sciences.
• Identify health problems that can be investigated.