Information Package / Course Catalogue
Biostatistic
Course Code: HDK526
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

Students learn biostatistical methods they can use in their research and theses practically.

Course Content

In this course, descriptive statistics, sampling methods, the population parameter measures, simple and composite calculation methods, growth rate calculations, time series analysis, tables and graphs, theoretical distributions, correlation and regression analysis, hypothesis testing and applications are examined.

Name of Lecturer(s)
Prof. Kadir KIZILKAYA
Learning Outcomes
1.To be able to comprehend the relationship between statistic – biostatistics.
2.To be able to comprehend basic statistical concepts.
3.To be able to distinguish the differences between measuring levels.
4.To be able to distinguish the differences between types of variables.
5.To be able to comprehend basic rules of probability.
6.To be able to create tables and to draw graphs.
7.To be able to calculate the measures of central tendency and dispersion.
8.To be able to calculate the sample size.
9.To be able to comprehend the sampling methods.
10.To be able to write statistical hypothesis.
11.To be able to do parametric tests (t test, ANOVA, correlation and regression, etc.).
12.To be able to do non-parametric tests (Mann Whitney U, Kruskal-Wallis ANOVA, Chi-squire, etc.).
13.To be able to measure and interpret the relation between two variables.
14.To be able to measure and interpret the relationship between the two variables
Recommended or Required Reading
1.1. Akgül A. Tıbbi Araştırmalarda İstatistiksel Analiz Yöntemleri.
2.2. Aksakaoğlu G. (2001). Sağlıkta Araştırma Teknikleri ve Analiz Yöntemleri Dokuz Eylül Üniversitesi Rektörlük Matbaası, İzmir.
3.3. Arıkan R. (2000). Araştırma Teknikleri ve Rapor Yazma. 3. Basım, Gazi Kitabevi, Ankara.
4.4. Arseven A. (2001). Alan Araştırma Yöntemi. İlkeler, Teknikler, Örnekler. 2. Baskı, Gündüz Eğitim Ve Yayıncılık. Ankara.
5.5. Bayram N. Sosyal Bilimlerde SPSS Veri Analizi. 2. Baskı, Ezgi Kitabevi. Bursa.
6.6. Büyüköztürk Ş. (2005). Sosyal Bilimler İçin Veri Analizi El Kitabı, İstatistik, Araştırma Deseni, SPSS Uygulamaları ve Yorum, Gözden Geçirilmiş 5. Baskı, Pegem Yayınları
7.7. Çelik, M. Y. (2011). Nasıl? Biyoistatistik Bilimsel Araştırma SPSS. Rotatıp Yayınları.
8.8. Erkuş A. (2003) Psikometri Üzerine Yazılar. Ölçme ve Psikometrinin Tarihsel Kökenleri Güvenilirlik Geçerlilik Madde Analizi Tutumlar: Bileşenleri ve Ölçülmesi. Türk Psikologlar Derneği Yayınları No:24, Ankara.
9.9. Hayran M., Hayran M. (2011). Sağlık Araştırmaları İçin Temel İstatistik. Omega Araştırma Organizasyon Eğitim Danışmanlık Ltd. Şti. Ankara.
10.10. Hayran O. (2012). Sağlık Bilimlerinde Araştırma ve İstatistiksel Yöntemler. 1. Baskı, Rotatıp Yayınları.
11.11. İlter, C. Ofis 2007, İstanbul: Pusula, ISBN: 978-9944-711-18
12.12. İnci E., Aksayan S., Bahar Z., Bayık A., Emiroğlu O., Erefe İ., Görak G., Karataş N., Kocaman G., Kubilay G., Seviğ Ü. (2002). Hemşirelikte Araştırma İlke ve Süreç Yöntemler. İstanbul.
13.13. Karasar, N. (1995) Bilimsel Araştırma Yöntemi, 7. Basım
14.14. Karasar N. (1995). Araştırmalarda Rapor Hazırlama. 8. Basım Alkim Yayınları, Ankara.
15.15. Özçelik A.D., (1981). Araştırma Teknikleri, ÖSYM Eğitim Yayını.
16.16. Özdamar K. (2004). Paket Programlar İle İstatistiksel Veri Analizi (Çok Değişkenli Analizler) 2. Yenilenmiş 5. Baskı. Kaan Kitabevi, Eskişehir.
17.17. Özdamar K. Spss İle Biyoistatistik, Kaan Yayınevi, Eskişehir.
18.18. Polit D. F. (1996). Data Analysis& Statistics For Nursing Research. Appleton & Lange, New York.
19.19. Seamen, H.C.C. (1987). Research Methods Principles, Practice And Theory For Nursing, California.
20.20. Sencer, M. ve Sencer, Y. (1978). Toplumsal Araştırmalarda Yöntem Bilim, Türkiye ve Ortadoğu Amme İdaresi Enstitüsü. Yayınları, No: 172, Ankara
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition and usage areas of statistics, the importance of biostatistics for health staff, the concept of measure, measurement error
Week 2 - Theoretical
The concept of variable and variable types, basic knowledge necessary for the analysis of numerical data
Week 3 - Theoretical
Classification and tabulation of the data
Week 4 - Theoretical
Making tables and drawing the graphics
Week 5 - Theoretical
Probability
Week 6 - Theoretical
Sampling methods and sample size determination
Week 7 - Theoretical
Correlation and regression analyses
Week 8 - Theoretical
Measures of dispersion
Week 9 - Theoretical
Midterm exam/Measures of dispersion
Week 10 - Theoretical
Stating the hypothesis, tests of hypotheses
Week 11 - Theoretical
Parametric and non-parametric tests in comparision of two groups
Week 12 - Theoretical
Calculation methods and usage areas of simple and composite index, growth rate calculations, time series analyses
Week 13 - Theoretical
Calculation methods and usage areas of simple and composite index, growth rate calculations, time series analyses
Week 14 - Theoretical
Calculation methods and usage areas of simple and composite index, growth rate calculations, time series analyses
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory132252
Reading131013
Midterm Examination114216
Final Examination118220
TOTAL WORKLOAD (hours)101
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
3
5
5
5
OÇ-2
3
5
5
5
OÇ-3
3
5
5
5
OÇ-4
3
5
5
5
OÇ-5
3
5
5
OÇ-6
5
5
5
OÇ-7
3
5
5
5
OÇ-8
3
5
5
5
OÇ-9
3
5
5
5
OÇ-10
3
5
5
5
OÇ-11
3
5
5
5
OÇ-12
3
5
5
5
OÇ-13
3
5
5
5
OÇ-14
3
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026