Explaining the definition of biostatistics and its areas of interest, to teach the importance of biostatistics in health services and to show its usage areas. Trying to show that health services cannot be planned and carried out efficiently without accurate and reliable statistical data and teaching how to interpret numerical indicators is the main objectives of the course.
Prerequisite(s)
mathematics
Corequisite(s)
None
Special Requisite(s)
None
Instructor(s)
Lecturer Dr. Yeliz Sevimli Saitoğlu
Course Assistant(s)
Schedule
Thursday, 09:00-13:00, 4C-8-10-12-14
Office Hour(s)
Monday, 11.00-12.00, Incirli Campus, 2A05
Teaching Methods and Techniques
It is planned as a Digital Distance Education and will be given in the Fall Semester with 100% Asynchronous and Synchronous enriched digital method and CATs V3.0 interface
Principle Sources
Temel Biyoistatistik-Prof.Dr. Mustafa Şenocak,
Sağlık Alanına Özel İstatistiksel Yöntemler-Prof.Dr. Kadir Sümbüllüoğlu,
SPSS ile Biyoistatistik, Kazım Özdamar
Bioistatistik-Prof.Dr. Kadir Sümbüllüoğlu,
Uygulamalı İstatistik Özer Serper
Basic&Clinical Biostatistics, Beth Dawson, Robert G. Trapp
Other Sources
-Statistics Murray R.Spiegel
Probability and statistical inference Rober V.Hogg , Elliot A.Tanis
Course Schedules
Week
Contents
Learning Methods
1. Week
Definition of biostatistics, its importance, purposes and its use in health services, data types and data collection methods.
oral presentation and applications
2. Week
Organizing data: series
oral presentation and applications
3. Week
Descriptive Statistics
oral presentation and applications
4. Week
Measures of Variability
oral presentation and applications
5. Week
Probability Theory
oral presentation and applications
6. Week
Discrete and Continuous Probability Distributions
oral presentation and applications
7. Week
Midterm
Written exam
8. Week
Sampling Methods
oral presentation and applications
9. Week
Research Types: Observational and Experimental Studies
oral presentation and applications (SPSS)
10. Week
Health-specific statistics
oral presentation and applications (SPSS)
11. Week
Parametric Hypothesis tests
oral presentation and applications (SPSS)
12. Week
Variance Analysis: ANOVA
oral presentation and applications (SPSS)
13. Week
Nonparametric Hypothesis tests: Chi-Square Test
oral presentation and applications (SPSS)
14. Week
Regression and Correlation Analysis
oral presentation and applications (SPSS)
15. Week
Final exam
Written exam
16. Week
Final exam
Written exam
17. Week
Final exam
Written exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Quizzes
1
20
Final Exam
1
50
Program Outcomes
PO-1
To apply all knowledge about basic sciences such as mathematics, physics, chemistry and biology to all problems in molecular biology and genetics
PO-2
To be able to identify, model and produce solutions against to problems related to molecular biology and genetics
PO-3
To start a procedure, proceed and finalize about determined problem by using analytical techniques
PO-4
To be able to understand all knowledge about living organisms which is main subject of molecular biology and genetics
PO-5
To contribute scientific research and development and add further information
PO-6
To be able to analyze data, design an experiment and proceed and annoate the results
PO-7
To be able to use current techniques and analysis methods in molecular biology and genetics
PO-8
To be able to be a part of a team in disciplinary or multidisciplinary, national or international public problems focused projects and use at least one foreign language for vocational purposes
PO-9
To be able to behave individually, take initiative and creativity skills
PO-10
To communicate briefly and clear using oral or written presentation skills to present individual working performance and independent decisions
PO-11
To carry responsibility to vocational and ethical issues
PO-12
To be aware about quality assessment
PO-13
To adopt in principle the importance of life-learning subject and graduate self-development by following new literature about field and apply current knowledge
Learning Outcomes
LO-1
To explain the definition of biostatistics and its areas of interest and its importance in health services
LO-2
To explain the importance of using accurate and reliable statistical data in the efficient execution of healthcare
LO-3
To know the types of data and data collection methods
LO-4
To be able to make descriptive and inferential statistics
LO-5
To teach how to interpret the results (numerical indicators) obtained from various statistical analyzes
