| Subject | Credits | Type |
|---|---|---|
Fundamentals of Design and Statistics |
12 ECTS |
Obligatory |
Processing health data with Stata |
6 ECTS |
Obligatory |
Regression models for continuous, categorical, count, and survival responses |
15 ECTS |
Obligatory |
Final project |
3 ECTS |
Obligatory |
Itinerary
For enrollment options, please visit the website https://metodo.uab.cat/
Related programmes
Course in Fundamentals of Design and Statistics in Health Sciences
Course in Regression models for continuous, categorical, count, and survival responses
Specific skills
- Organize the data of a study using a computer (read databases, apply algorithms to create variables, handle follow-ups, and restructure the data matrix) to prepare them for statistical analysis.
- Perform descriptive and bivariate analysis of the study data, calculating indices and generating graphs, using statistical software, and considering the design that generated them.
- Recognize the most appropriate statistical models based on the hypotheses to be tested and the measurement scale of the variables involved.
- Estimate predictive models of multiple regression, binary logistic, multinomial, Poisson, negative binomial, and Cox proportional hazards, selecting the predictors based on the study objectives.
- Develop the management and analysis of simulated data from a research problem identified in the literature.
Transferable skills
- Delimit the different contents of a research study that should be part of the sections of an original article or a scientific communication, and write the text.
- Master the scientific-methodological terminology to understand and interact with other professionals.
- Acquire the ability to work on the methodological aspects of research cooperatively with other colleagues.
Title obtained
Diploma of Specialization in Statistics in Health Sciences