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Epidemiology, Part 2

Study Course Description

Course Description Statuss:Approved
Course Description Version:1.00
Study Course Accepted:13.01.2022 16:03:05
Study Course Information
Course Code:SVUEK_135LQF level:Level 8
Credit Points:2.00ECTS:3.00
Branch of Science:Clinical Medicine; Public HealthTarget Audience:Pharmacy; Biology; Health Management; Medical Services; Clinical Pharmacy; Medicine; Rehabilitation; Psychology; Life Science; Nursing Science; Public Health
Study Course Supervisor
Course Supervisor:Ģirts Briģis
Study Course Implementer
Structural Unit:Department of Public Health and Epidemiology
The Head of Structural Unit:
Contacts:Riga, 9 Kronvalda boulevard, svekatrsu[pnkts]lv, +371 67338307
Study Course Planning
Full-Time - Semester No.1
Lectures (count)8Lecture Length (academic hours)2Total Contact Hours of Lectures16
Classes (count)0Class Length (academic hours)0Total Contact Hours of Classes0
Total Contact Hours16
Study course description
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".
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.
Topic Layout (Full-Time)
No.TopicType of ImplementationNumberVenue
1Systematic errors of bias.Lectures2.00auditorium
2Confounding and its control. Interaction, effect modification, heterogeneity effects.Lectures2.00auditorium
3Stratification, satandartization, multifactorial analysis: multiple regression.Lectures2.00auditorium
4Quality assurance of population studies. Measures of sensitivity, specificity and reliability.Lectures2.00auditorium
Assessment
Unaided Work:
Studying basic and additional literature. Inclusion of the acquired knowledge into the individual draft doctoral thesis.
Assessment Criteria:
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.
Final Examination (Full-Time):Test
Final Examination (Part-Time):
Learning Outcomes
Knowledge:• 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:• 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.
Competencies:• 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.
Bibliography
No.Reference
Required Reading
1Szklo, M., Nieto, F. J. „Epidemiology Beyond the Basics. 4th Eddition”, Jones & Bartlet Learning, Burlington, Massachusetts 2019.
Other Information Sources
1Mays, S. "Confounding variables".
2DiGiorgi, M. "Confounding, interaction, bias: Interaction".
3Direct and Indirect Standardization (age-adjusted mortality rates).