Statistics
Objectives
By the end of this unit students should be able to:
1. Identify when to use statistic techniques
2. Know the principles of statistical inference
3. Identify measures and graphical representations utilised in descriptive statistics
4. Identify tests, association measures and models to utilise according variables type
5. Formulate problems in the ares of descritive and inferential statistics
6. Conduct hypotheses tests and calculate confidence intervals
7. Interpret the results of logistic regression models
8. Utilise statistical software to manage and analyse data
9. Undertake and interpret the results of a statistical analysis in the context of health research
10. Value statistical methodology as an analysis tool in the context of health research.
General characterization
Code
306
Credits
4
Responsible teacher
Available soon
Hours
Weekly - Available soon
Total - 112
Teaching language
Available soon
Prerequisites
Available soon
Bibliography
Available soon
Teaching method
Teaching methodologies include theoretical-practical and practical sessions. During the former, the teacher presents the theorical concepts and examples and the students will have the opportunity to apply them using pen and paper and SPSS-based exercises. During practical sessions, students will conduct case studies using SPSS.
Evaluation includes an individual exam (from 70% to 100%) and group work (30%, if applicable).
Evaluation method
Available soon
Subject matter
a. Statistical analysis utilisation in health research.
b. Descriptive statistics: frequency tables, graphs, central and dispersion measures.
c. Confidence intervals and hypothesis tests, Type I and type II errors, p-value.
d. Chi-square test, t test, ANOVA, correlation analysis and introduction to logistic regression.
e. Make a data structure in SPSS and practice of data management and analysis (hypothesis tests, confidente intervals and logistic regression).
f. Build a statistical analysis plan.
Programs
Programs where the course is taught: