|
TBB5031 | Biostatistics | 2+2+0 | ECTS:7.5 | Year / Semester | Fall Semester | Level of Course | Second Cycle | Status | Elective | Department | DEPARTMENT of HISTOLOGY and EMBRYOLOGY | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 2 hours of lectures and 2 hours of practicals per week | Lecturer | -- | Co-Lecturer | Assoc. Prof. Dr. Kemal Turan | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | Using real examples from the medical literature, this course will introduce you to clinical research and applied statistics. This course will prepare you to critically read and understand the medical literature. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | To be able to define the basic concepts of biostatistics | 1,10 | 1,3 | PO - 2 : | Being able to explain the types of variables | 1,10 | 1,3 | PO - 3 : | Ability to use statistical software | 1,10 | 1,3 | PO - 4 : | To be able to interpret hypothesis tests | 1,10 | 1,3 | PO - 5 : | Being able to do some hypothesis tests | 1,10 | 1,3 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
Exploratory vs. onfirmatory Studies, Target Population vs. Study Population, Casual Inference, Case-control studies, Cohort studies, Randomized clinical trials, Hypothesis Testing, Power and Sample Size, Confidence Intervals, Multiple Comparisons, Predictors and Outcomes, Analysis for Continuous Outcome, Analysis for Categorical Outcome, Analysis for Time-to-event Outcome. |
|
Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | The concepts of statistics and biostatistics, basic concepts of biostatistics | | Week 2 | Variable types | | Week 3 | Descriptive statistics (Central trend and distribution measures)
İstatistik yazılımları ve SPSS
| | Week 4 | Statistical software and SPSS | | Week 5 | Hypothesis testing basic concepts | | Week 6 | Hypothesis tests (Student's T and Mann-Whitney U) and application with SPSS | | Week 7 | Mid-term exam | | Week 8 | Hypothesis tests (Student's T and Mann-Whitney U) and application with SPSS | | Week 9 | Hypothesis tests (Repeated Measure T and Wilcoxon Tests) and application with SPSS | | Week 10 | Hypothesis tests (Repeated Measure T and Wilcoxon Tests) and application with SPSS | | Week 11 | Hypothesis tests (ANOVA) and application with SPSS | | Week 12 | Hypothesis tests (ANOVA) and application with SPSS | | Week 13 | Hypothesis tests (Chi-square tests) | | Week 14 | Regression and correlation analysis and application with SPSS | | Week 15 | Regression and correlation analysis and application with SPSS | | Week 16 | Final examination | | |
1 | Keppel, G. (1991). Design and Analysis : A Researcher's Handbook. Englewood Cliffs, NJ: Prentice-Hall. | | |
1 | Box, G. E. P., Hunter, W. G. and Hunter, J. S. (1978). Statistics for Experimenters. New York: Wiley. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 7 | | | 50 | End-of-term exam | 16 | | | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 3 | 14 | 42 | Arasınav için hazırlık | 3 | 7 | 21 | Arasınav | 1 | 1 | 1 | Dönem sonu sınavı için hazırlık | 3 | 13 | 39 | Dönem sonu sınavı | 1 | 1 | 1 | Total work load | | | 146 |
|