| 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 Health Data Processing using Stata
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