Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Determination Of Sample Sizes BIS502 Turkish Compulsory 3 + 0 3.0 8.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Face to Face
Course Coordinator Prof. Dr. Şengül CANGÜR
Instructor(s)
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
# Öğrenme Kazanımı
1 Describe the appropriate sample size concept and explain importance of it for research.
2 Know what needs to be taken into account when determining the sample size in the planning stage of researches.
3 Calculate the appropriate sample size for prevalence or field surveys conducted frequently in health field.
4 Know the steps to be followed when determining the appropriate sample size in experimental and clinical researches and can calculate it within ethical rules.
5 Know the advanced methods used to determine sample size and know the usage requirements of these methods.
6 Can calculate the appropriate sample size at various stages for market and drug researches.
7 Knowing what needs to be taken into account when calculating the sample size for investigating inter-variable relations and calculating the appropriate sample size.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic Principles and Frequently used Concepts in Sample Size Calculation
2. Week Concept of Hypothesis and Errors made in Hypothesis Testing Preparation, After Class Study, Research, Other Activities
3. Week Sample Size for One Sample Problems Preparation, After Class Study, Research, Other Activities
4. Week Sample Size for One Sample Problems Preparation, After Class Study, Research, Other Activities
5. Week Sample Size for Comparing Two Proportions Preparation, After Class Study, Other Activities
6. Week Sample Size for Comparing More Than Two Means Preparation, After Class Study, Research, Other Activities
7. Week Sample Size for Analysis of Crosstabss Preparation, After Class Study, Research, Other Activities
8. Week Sample Size for Correlation and Simple Linear Regression Analyses Preparation, After Class Study, Research, Other Activities
9. Week Sample Size for Superiority, Equivalance and Non-inferiority Trials Preparation, After Class Study, Research, Other Activities
10. Week Sample Size for Logistic Regression Analysis Preparation, After Class Study, Other Activities
11. Week Sample Size for Analysis of Survival Data Preparation, After Class Study, Research, Other Activities
12. Week Sample Size for Sequential Methods Preparation, After Class Study, Other Activities
13. Week Sample Size for Drug Trials Preparation, After Class Study, Other Activities
14. Week Sample Size for Animal Studies Preparation, After Class Study, Other Activities
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 The biostatistics specialist will have the knowledge to help the faculty member in conducting the biostatistics course and to practice the laboratory in the faculties.
2 At high schools, the biostatistics specialist will have the knowledge, experience and experience to give the basic biostatistics course on their own
3 The biostatistics specialist will be able to ask questions, to make contributions and to criticize questions about scientific presentations at seminars, congresses or symposium.
4 Information about the field of the biostatistics specialist will be used exchange information with the thesis supervisor, transfer to the others in discussion of article and seminar presentation etc. events.
5 The biostatistics specialist will be able to consult biostatistics to thesis researches and basic scientific researches and will be able to analyze data using various statistical programs and interpret the results.
6 The biostatistics specialist will have knowledge of biostatistics that can make planning and execution of researches.
7 The biostatistics specialist will be able to make the planning, execution and reporting stages of scientific research related to his/her field alone.
8 The biostatistics specialist will be able to have knowledge of the theoretical biostatistics that can contribute to the biostatistics science and apply basic biostatistics methods.
9 The biostatistics specialist will have enough mathematical statistics knowledge to be able to decide appropriate statistical analysis and to be able to analyze the results correctly.
10 The biostatistics specialist will be able to make comments about the concept, methods and principles of biostatistics mentioned in the scientific researches obtained as a result of the literature review and will be able to give an idea about the usage in the literature.
11 The biostatistics specialist will be able to collect data to reduce health problems and improve health status of the region in which they work, to assess risk, and to identify risk factors for diseases that can make cause-outcome relationship and cause common or most death and disability, which may be comparable to previous periods and different regions.
12 The biostatistics specialist will be able to calculate, interpret and graph the necessary health statistics to protect community health and to take various measures in health services.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 2 2 2 2 2 2 2
PY2 2 2 2 2 2 2 2
PY3 1 1 1 1 1 1 1
PY4 1 1 1 1 1 1 1
PY5 3 3 3 3 3 3 3
PY6 3 3 3 3 3 3 3
PY7 2 2 2 2 2 2 2
PY8 1 1 1 1 1 1 1
PY9 1 1 1 1 1 1 1
PY10 2 2 2 2 2 2 2
PY11 2 2 2 2 2 2 2
PY12 2 2 2 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 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.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Preparation, After Class Study 13 4.5 58.5
Research 9 3 27
Other Activities 13 0.5 6.5
Sınavlar
Homework 13 2 26
Final 1 2 2
Classroom Activities 14 3 42
Total Workload 204
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 8.0