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Aetiology, Risk and Prognostic Studies

Code: PDICSS013_16     Acronym: PDICSS013_16

Keywords
Classification Keyword
OFICIAL Health Sciences-Clinical and Health Serv. Research

Instance: 2017/2018 - 2S

Active? Yes
Responsible unit: Department of Community Medicine, Information and Health Decision Sciences
Course/CS Responsible: PhD in Clinical and Health Services Research

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
PDICSS 0 Current Studies Plan 1 - 3 14 81

Teaching - Hours

Theoretical classes: 0,71
Theoretical and practical : 0,29
Type Teacher Classes Hour
Theoretical classes Totals 1 0,71
Altamiro Manuel Rodrigues da Costa Pereira 0,71
Theoretical and practical Totals 1 0,29
Altamiro Manuel Rodrigues da Costa Pereira 0,29

Teaching language

Suitable for English-speaking students

Objectives

Describe the concept and framework of aetiology studies, risk and prognosis;

Explain the concepts of causality, causal inference, accuracy and validity studies on etiology, risk and prognosis;

Design aetiology risk and prognostic studies;

Analyze categorical data;

Interpret measures of frequency and association;

Calculate measures of frequency and association;

Apply methods of statistical adjustment and stratified analysis;

Understand the concept of causal interaction;

Draw cohort s, case-control and cross-sectional studies;

Implement cohort, case-control and cross-sectional studies;

Critically analyze cohort, case-control and cross-sectional studies;

Learning outcomes and competences

-

Working method

Presencial

Program

Aetiology studies, risk and prognosis - definition and framing.

Basic concepts of causality and causal inference.

Aetiology and risk studies design.

Prognostic studies design.

Categorical data analysis.

Reliability and validity studies on aetiology, risk and prognosis.

Frequency and association measures.

Stratified and adjusted statistical analysis.

Interaction.

Cohort studies - design, implementation and analysis.

Case studies and controls - design, implementation and analysis.

Cross-sectional studies - design, implementation and analysis.

Mandatory literature

Fletcher, R. H., Fletcher, S.W., & Fletcher, G. S.; Clinical Epidemiology: The Essentials (5th Edition). , : Lippincott Williams & Wilkins, 2014
Haynes, R.B., Sackett, D.L., Guyatt, G.H., & Tugwell, P; Clinical epidemiology: how to do clinical practice research (3rd edition), Lippincott Williams & Wilkins, 2006
Harris, M., Taylor, G., & Jackson, D. ; Clinical Evidence Made Easy: The basics of evidence-based medicine, Banbury: Scion Publishing Ltd, 2014
Straus, S.E., Glasziou, P., Richardson, W.S., & Haynes, R.B. ; Evidence-Based Medicine: How to Practice and Teach It (4th Edition). , Edinburgh: Churchill Livingstone., 2010

Teaching methods and learning activities

Theoretical analysis of each topic described for the curricular unit;

Literature review

Group discussion

Individual and group assignments

Using an optimized e-learning platform

Evaluation methods:

Distributed evaluation with final exam. The evaluation will be conducted using written work (50%) and a final exam (50%).

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 50,00
Trabalho escrito 50,00
Total: 100,00

Calculation formula of final grade

Distributed evaluation with final exam. The evaluation will be conducted using written work (50%) and a final exam (50%).
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