Veidlapa Nr. M-3 (8)
Study Course Description
Epidemiology, Part 2
Course Code
SVUEK_135
Branch of Science
Clinical medicine; Public and environmental health
ECTS
3.00
Target Audience
Biology; Clinical Pharmacy; Health Management; Life Science; Medical Services; Medicine; Nursing Science; Pharmacy; Psychology; Public Health; Rehabilitation
LQF
Level 8
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Ģirts Briģis
Structure Unit Manager
Anda Ķīvīte-Urtāne
Structural Unit
Institute of Public Health
Contacts
Riga, 9 Kronvalda boulevard, svek@rsu.lv, +371 67338307
About Study Course
Objective
In addition to the aim of the first part of the course, to provide knowledge and gain competence in research methods of human population, in research of causes of health, disease and treatment results, in obtaining, planning, expressing and interpreting results using quantitative research methods including analysis and control of confounding, interaction and bias of causal models, principles of modelling and questions of research quality assurance and measuring.
Preliminary Knowledge
Basic knowledge of epidemiology and biostatistics. Corresponding to the requirements of doctoral studies, a master's degree in health sciences, psychology or biology as well as a medical doctor’s degree compared to the master's degree. Knowledge corresponding to the doctoral study course "Epidemiology Part 1".
Learning Outcomes
Knowledge
1.• Will explain epidemiological terminology. • Will describe principles and use of population research. • Will explain problems of causal interpretation of health-related states and events. • Will describe research designs and principles of multi-factor adjustment. • Will explain non-causal correlations and bias in research results. • Will assess quality of research in medicine.
Skills
1.• Will collect essential information about methodology of population studies. • Will apply appropriate method in the draft research of doctoral studies. • Will conduct population research in health sciences and medicine. • Will select the most appropriate variables, measures of association and statistical procedures. • Will use scientific evidence for the justification of conclusions.
Competences
1.• Will design and plan quantitative scientific research. • Will critically assess epidemiological and other quantitative population research. • Will use knowledge and skills to draw up the doctoral thesis.
Assessment
Individual work
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Title
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% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
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|
Studying basic and additional literature. Inclusion of the acquired knowledge into the individual draft doctoral thesis.
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||
Examination
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Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
100% lecture attendance; Test on every topic: at least 70% correct answers; report on the adjusted draft doctoral thesis corresponding to the theory of modern epidemiology. Participation in discussions during interactive lectures.
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Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Systematic errors of bias.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Systematic errors of bias.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Confounding and its control. Interaction, effect modification, heterogeneity effects.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Confounding and its control. Interaction, effect modification, heterogeneity effects.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Stratification, satandartization, multifactorial analysis: multiple regression.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Stratification, satandartization, multifactorial analysis: multiple regression.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Quality assurance of population studies. Measures of sensitivity, specificity and reliability.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Quality assurance of population studies. Measures of sensitivity, specificity and reliability.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
16 Academic Hours
Final Examination:
Test
Bibliography
Required Reading
1.
Szklo, M., Nieto, F. J. „Epidemiology Beyond the Basics. 4th Eddition”, Jones & Bartlet Learning, Burlington, Massachusetts 2019.Suitable for English stream
Other Information Sources
1.
Mays, S. "Confounding variables".Suitable for English stream
2.
DiGiorgi, M. "Confounding, interaction, bias: Interaction".Suitable for English stream
3.
Direct and Indirect Standardization (age-adjusted mortality rates).Suitable for English stream