Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Determination Of Sample Sizes BIS502 3 + 0 3.0 8.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Face to Face
Course Coordinator Prof. Dr. Şengül CANGÜR
Instructor(s)
Assistants
Goals It shows how to calculate the appropriate sample size to ensure that the scientific research results are more reliable and more economical.
Course Content Rules and analytical approaches to be taken in deciding the appropriate sample size, which is one of the most important stages of research, will be addressed. For this purpose, we will focus on what should be taken into consideration when determining the appropriate sample size in the most frequently performed research types in practice, and the introduction and application of formulas that can be used in calculating the sample size. The statistical package program or web-based account pages that can be used to calculate sample size will also be examined.
Learning Outcomes - Describe the appropriate sample size concept and explain importance of it for research.
- Know what needs to be taken into account when determining the sample size in the planning stage of researches.
- Calculate the appropriate sample size for prevalence or field surveys conducted frequently in health field.
- Know the steps to be followed when determining the appropriate sample size in experimental and clinical researches and can calculate it within ethical rules.
- Know the advanced methods used to determine sample size and know the usage requirements of these methods.
- Can calculate the appropriate sample size at various stages for market and drug researches.
- Knowing what needs to be taken into account when calculating the sample size for investigating inter-variable relations and calculating the appropriate sample size.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Basic Principles and Frequently used Concepts in Sample Size Calculation Course Hours
2. Week Concept of Hypothesis and Errors made in Hypothesis Testing Other Activities Course Hours Research Preparation, After Class Study
3. Week Sample Size for One Sample Problems Preparation, After Class Study Research Course Hours Other Activities
4. Week Sample Size for One Sample Problems Preparation, After Class Study Research Other Activities Course Hours
5. Week Sample Size for Comparing Two Proportions Other Activities Course Hours Preparation, After Class Study
6. Week Sample Size for Comparing More Than Two Means Course Hours Preparation, After Class Study Other Activities Research
7. Week Sample Size for Analysis of Crosstabss Course Hours Preparation, After Class Study Research Other Activities
8. Week Sample Size for Correlation and Simple Linear Regression Analyses Course Hours Preparation, After Class Study Research Other Activities
9. Week Sample Size for Superiority, Equivalance and Non-inferiority Trials Preparation, After Class Study Other Activities Course Hours Research
10. Week Sample Size for Logistic Regression Analysis Course Hours Other Activities Preparation, After Class Study
11. Week Sample Size for Analysis of Survival Data Course Hours Research Other Activities Preparation, After Class Study
12. Week Sample Size for Sequential Methods Course Hours Preparation, After Class Study Other Activities
13. Week Sample Size for Drug Trials Preparation, After Class Study Other Activities Course Hours
14. Week Sample Size for Animal Studies Course Hours Other Activities Preparation, After Class Study
Recommended Sources
Prepared lecture notes (ppt presentation)
Zar, JH. 2009. Biostatistical Analysis. p:960, Prentice Hall 5 ed, USA, 2009.
Chow, S.C., Shao J., Wang, H. Sample Size Calculations in Clinical Research. Chapman & Hall/CRC Biostatistics Series, USA, 2004.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 DK7 Measurement Method
PY1 2 2 2 2 2 2 2 2 40,60
PY2 2 2 2 2 2 2 2 2 40,60
PY3 1 1 1 1 1 1 1 1 40,60
PY4 1 1 1 1 1 1 1 1 40,60
PY5 3 3 3 3 3 3 3 3 40,60
PY6 3 3 3 3 3 3 3 3 40,60
PY7 2 2 2 2 2 2 2 2 40,60
PY8 1 1 1 1 1 1 1 1 40,60
PY9 1 1 1 1 1 1 1 1 40,60
PY10 2 2 2 2 2 2 2 2 40,60
PY11 2 2 2 2 2 2 2 2 40,60
PY12 2 2 2 2 2 2 2 2 40,60
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Preparation, After Class Study 13 4.5 58.5
Research 9 3 27
Other Activities 13 0.5 6.5
Homework 1 13 2 26
Final 1 2 2
Classroom Activities 14 3 42
Total Workload 204
ECTS Credit of the Course 8.0