2024
Advanced Research Methodologies I
Name: Advanced Research Methodologies I
Code: CMS13707D
9 ECTS
Duration: 15 weeks/234 hours
Scientific Area:
Health Sciences
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Presentation
This UC allows to know how to design an epidemiological study and define the measures of association and effect, which are the appropriate measures of association and effect, as well as the basic aspects of causality in epidemiology are fundamental principles in the training of health researchers.
Sustainable Development Goals
Learning Goals
- Know how to design a epidemiological study and define the effect and association measures
- Know how to validate a diagnostic test.
- To plan, analyze and make interpretation of the results of an epidemiological study.
- To define sample size and study power.
- Know how to validate a diagnostic test.
- To plan, analyze and make interpretation of the results of an epidemiological study.
- To define sample size and study power.
Contents
- Epidemiological research; study design and causality
- Effect and association measures in epidemiology: relative risk, odds ratio, relative benefit, number needed to treat, number needed to harm, incidence rate ratio
- Clinical trial phases I, II, III, IV
- Superiority versus non-inferiority clinical trials
- Diagnostic tests: sensitivity, specificity, predictive values and ROC curves
- Stratified analyses and logistic regression; confounding and effect modification
- Kaplan-Meier survival analysis and Cox regression
- Determination of the sample size and power in a clinical study.
- Case studies of clinical epidemiology
- Effect and association measures in epidemiology: relative risk, odds ratio, relative benefit, number needed to treat, number needed to harm, incidence rate ratio
- Clinical trial phases I, II, III, IV
- Superiority versus non-inferiority clinical trials
- Diagnostic tests: sensitivity, specificity, predictive values and ROC curves
- Stratified analyses and logistic regression; confounding and effect modification
- Kaplan-Meier survival analysis and Cox regression
- Determination of the sample size and power in a clinical study.
- Case studies of clinical epidemiology
Teaching Methods
Theoretical sessions with slides presentation.
Discussion of published papers on epidemiology.
Case study of epidemiological research made in Portugal.
Data analysis with SPSS and OpenEpi.
Distance lessons with internet if applicable.
Participation in the sessions (20%), Individual test (50%) and group work with presentation (30%)
Discussion of published papers on epidemiology.
Case study of epidemiological research made in Portugal.
Data analysis with SPSS and OpenEpi.
Distance lessons with internet if applicable.
Participation in the sessions (20%), Individual test (50%) and group work with presentation (30%)
Certificações
