Course Name Code Semester T+U Hours Credit ECTS
Biostatistics II HDS 509 2 3 + 0 3 6
Precondition Courses HDS 504 BIOSTATISTICS-I
Recommended Optional Courses
Course Language Turkish
Course Level YUKSEK_LISANS
Course Type OPTIONAL
Course Coordinator Prof.Dr. ÜNAL ERKORKMAZ
Course Lecturers
Course Assistants
Course Category General Education
Course Objective Aims of this course are to teach biostatistical analysis in the health sciences both theoretically and practically.
Course Content In this course, biostatistical analysis and advantages, definitions and necessity of biostatistics are described
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Knows the one sample hypothesis tests Lecture, Question-Answer, Discussion, Group Study,
2 Knows the independent and dependent two-sample hypothesis tests Lecture, Question-Answer, Discussion, Group Study,
3 Knows the independent and dependent k sample hypothesis tests Lecture, Question-Answer, Discussion, Group Study,
4 Knows the multi-factorial analysis of experiments Lecture, Question-Answer, Discussion, Group Study,
5 Knows the correlation and regression analysis Lecture, Question-Answer, Discussion, Group Study,
6 Knows the linear regression analysis Lecture, Question-Answer, Discussion, Group Study,
7 Knows the logistic regression analysis Lecture, Question-Answer, Discussion, Group Study,
8 Knows the specific statistical methods in health sciences Lecture, Question-Answer, Discussion, Group Study,
9 Knows the reliability of medical diagnostic tests, and the ROC curve method Lecture, Question-Answer, Discussion, Group Study,
10 Knows the survival analysis Lecture, Question-Answer, Discussion, Group Study,
Week Course Topics Preliminary Preparation
1 One sample hypothesis testing
2 Independent two sample hypothesis testing
3 Dependent two-sample tests of hypotheses
4 Independent k sample hypothesis testing
5 Dependent k sample hypothesis testing
6 Multi-factorial analysis of experiments
7 Applications
8 Correlation and regression analysis
9 Linear regression analysis
10 Logistic regression analysis
11 Special statistical methods in health sciences
12 The reliability of medical diagnostic tests, and the ROC curve method
13 Survival analysis
14 Applications
Resources
Course Notes Özdamar K, SPSS ile Biyoistatistik, Nisan Kitabevi, 2013.
Course Resources 1. Alpar R, Ugulamalı İstatistik, Detay Yayıncılık, Ankara 2012.
2. Özdamar K, Paket Programlar ile İstatistiksel Veri Analizi Cilt 1, Nisan Kitabevi, 2013.
3. Özdamar K, Paket Programlar ile İstatistiksel Veri Analizi Cilt 2, Nisan Kitabevi, 2013.
4. Çelik Y, NASIL? Biyoistatistik, Bilimsel Araştırma, SPSS, I. Baskı Eylül 2011.
5. SPSS Inc. Advanced Models, 11.0, SPSS Inc. Chicago, 2001
6. Belle GY, Fısher LD, Heagerty PJ, Lumley P. Biostatistics A Methodology for the Health Sciences, A John Wıley & Sons Inc., 2004
7. Applied Multivariate Statistical Analysis, R.A. Johnson and D.W. Wichern, Prentice Hall Inc., New Jarsey, 1988.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The importance of education and production facilities in Hygien, Health and food, X
# Contribution of Course Learning Outcomes to Program Outcomes PÇ 1
1 Knows the one sample hypothesis tests
2 Knows the independent and dependent two-sample hypothesis tests
3 Knows the independent and dependent k sample hypothesis tests
4 Knows the multi-factorial analysis of experiments
5 Knows the correlation and regression analysis
6 Knows the linear regression analysis
7 Knows the logistic regression analysis
8 Knows the specific statistical methods in health sciences
9 Knows the reliability of medical diagnostic tests, and the ROC curve method
10 Knows the survival analysis
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Performans Görevi (Uygulama) 40
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Performance Task (Application) 1 20 20
Final examination 1 20 20
Total Workload 146
Total Workload / 25 (Hours) 5.84
dersAKTSKredisi 6