| 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 |
| HEM6028 | Biostatistics | Fall | 3 | 0 | 3 | 9 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | Tr |
| 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: | Her hafta 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 |