Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
Research Planning and Data Analysis in Epidemiology 22744018 0 + 1 1.0 6.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery While processing this course, the students will be given eight homework in aforementioned lectures, main topic will be discussed in detail, basic issues will be shared, and the topic will be summarized using audio-visual techniques
Course Coordinator
Instructors Meltem ÇÖL
Assistants
Goals Planning and conducting a scientific research, data entry, selection of statistical test of significance, data analysis, and reporting the results
Course Content Research plan, research types, sampling methods, variable types, the foundations of statistical hypotheses, types of error, bias and counfounding factors, tests of statistical significance, data entry and constructing a database, analyzing and reporting the data
Learning Outcomes 1) Defines the research
2) Explains the steps of a scientific research
3) Indicates an appropriate approach for selecting a research topic
4) Indicates the type of the research
5) Discusses the sampling methods
6) Defines and indicates the types of variables
7) Defines and explains the types of statistical hypotheses
8) Explains the types of erorrs
9) It does not take sides in the prevention and chooses to reduce the influence of confounding factors.
10) Discusses the selection criteria of tests of statistical significance
11) Evaluates the tests of statistical significance on examples.
12) Constructs a data base
13) Discusses the appropriate tests of statistical significance due to types variables
14) Statistical significance testing is done in accordance with data analysis and interpretation.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Steps of a scientific research planning Lecture

Presentation (Including Preparation Time)
2. Week Evaluating relevant literature for selecting a research topic Lecture

Presentation (Including Preparation Time)
3. Week Universe, sampling, and types of epidemiolgic researches Lecture

Presentation (Including Preparation Time)
4. Week Variables and indices Lecture

Presentation (Including Preparation Time)
5. Week Hypothesis testing and types of error Lecture

Presentation (Including Preparation Time)
6. Week Bias and confounding factors Lecture

Presentation (Including Preparation Time)
7. Week Tests of statistical significance Lecture

Presentation (Including Preparation Time)
8. Week Tests of statistical significance Lecture

Presentation (Including Preparation Time)
9. Week Examples on tests of statistical significance Lecture

Presentation (Including Preparation Time)
10. Week Examples on tests of statistical significance Lecture

Presentation (Including Preparation Time)
11. Week Data base construction Lecture

Presentation (Including Preparation Time)
12. Week Selection of a test of statistical significance Lecture

Presentation (Including Preparation Time)
13. Week Data analysis Lecture

Presentation (Including Preparation Time)
14. Week Interpretation of the data Lecture

Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Basic Epidemiology. Beaglehole R, Bonita R, Kjellstrom T, England.
David E. Lilienfield. Foundations of Epidemiology. Oxford University Press, 1994
Epidemiology in Medicine. Hennekens C, Buring JE. Little Brown and Company, 1998
Epidemiology. Gordis L. Second Edition, 2000.
Global Report on Non-communicable Diseases, 2014, WHO.
Global Textbook of Public Health. Sixth Edition. Ox ford University Press, 2015.
Halk sağlığı Temel Bilgiler. Güler Ç, Akın L. Hacettepe Üniversitesi Yayınları, 2006.
Hayran M, Hayran M. Sağlık Araştırmaları İçin Temel İstattistik, 2011
Last MJ, Maxcy Rosenau. Epidemiology, Public Health and Preventive Medicine
Temel Epidemiyoloji. Tezcan S. Hacettepe Halk Sağlığı Vakfı.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8DK9DK10DK11DK12DK13DK14
PY1505000000000000
PY2500000000000000
PY3500000000000000
PY4500000000000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
. 14 14
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information