MATHEMATICS (TURKISH, PHD) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
NUR6028 | Biostatistics | Fall | 3 | 0 | 3 | 9 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. FATMA ETİ ASLAN |
Course Objectives: | planning of scientific research in the medical field, execution and analysis phases of the biostatistical methods commonly used by computer softwares, learning with applications |
The students who have succeeded in this course; 1 to prepare a database, check the database and cleaning of errors 2 calculates the interpretation of the data descriptive statistics 3 whether to interpret the results of hypothesis tests 4 regression analysis and logistic regression to analyze and interpret the results 5 sample size calculation in research and learn to do power analysis |
Basic concepts of biostatistics, SPSS software, data collection methods, create a database, analyze the data |
Week | Subject | Related Preparation | |
1) | Intraduction. | ||
2) | Basic concepts in biostatistics | ||
3) | SPSS presentation | ||
4) | Database creation - data control and cleaning | ||
5) | Hypothesis testing and application areas | ||
6) | Chi-square tests implementation and interpretation | ||
7) | T tests implementation and interpretation | ||
8) | Mann-Whitney U test, Wilcoxon application and interpretation of the application and interpretation | ||
9) | Application and interpretation of correlation and linear regression | ||
10) | Analysis of variance application and interpretation | ||
11) | Multivariate analysis and modeling methods | ||
12) | Multiple regression application and interpretation | ||
13) | Logistic regression model application and interpretation | ||
14) | Evaluation of the course. |
Course Notes: | Haftalık verilecek. |
References: | Ana kaynak: 1. K. Özdamar. SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir, 2003. 2. Aksakoğlu G. Sağlıkta araştırma teknikleri ve analiz yöntemleri. DEÜ Rektörlük Matbaası, İzmir 2001. Yardımcı kaynaklar: 3. http://www.spss.com.tr/ 4. http://www.pitzer.edu/offices/information_technology/documentation/miscellaneous/spssbasics. pdf |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 0 | % 0 |
Laboratory | 0 | % 0 |
Application | 0 | % 0 |
Field Work | 0 | % 0 |
Special Course Internship (Work Placement) | 0 | % 0 |
Quizzes | 0 | % 0 |
Homework Assignments | 0 | % 0 |
Presentation | 0 | % 0 |
Project | 0 | % 0 |
Seminar | 0 | % 0 |
Midterms | 1 | % 40 |
Preliminary Jury | 0 | % 0 |
Final | 1 | % 60 |
Paper Submission | 0 | % 0 |
Jury | 0 | % 0 |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 9 | 126 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 5 | 10 | 50 |
Presentations / Seminar | 4 | 8 | 32 |
Project | 0 | 0 | 0 |
Homework Assignments | 4 | 8 | 32 |
Quizzes | 2 | 4 | 8 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 1 | 1 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 1 | 1 |
Total Workload | 250 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |