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| TBB5071 | Statistical Techniques in Health Sciences | 2+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | Assoc. Prof. Dr. Kemal Turan | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To provide students designing skills with statistical thinking use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research.
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| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | learn statistical edpidemiology concepts | 1,4 | 1,6 | | PO - 2 : | learn statistical terminology | 1,4 | 1,6 | | PO - 3 : | determine sampling size and statistical power | 1,4 | 1,6 | | PO - 4 : | learn statistical designing techniques being aware of randomization, blocking controlling ect | 1,4 | 1,6 | | PO - 5 : | evaluate a study design using statistical thinking | 1,4 | 1,6 | | 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 | | |
| Statistiksel Theori and terminology with distribution and sampling concepts twill be given given. While keeping statistical thinking in focus, fundemantal statistical techniques wiil be given. Parametric (dağılımlar, örnek sayısı tespiti ve teorisi, t-testi, korrelasyon, ANOVA) and Non-parametric tests (sign, Man Whitney U ve Kruskal Wallis) , study design principles along with the application of 2x2 tables will be given. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Describing Data. | | | Week 2 | Probability | | | Week 3 | Analysing Means and Proportions. | | | Week 4 | Analysing Variances, Counts and Other Measures. | | | Week 5 | Bayesian Methods | | | Week 6 | Regression and Correlation. | | | Week 7 | Comparison of Several Groups. | | | Week 8 | Mid-term exam | | | Week 9 | Experimental Design. | | | Week 10 | Analysing Non-Normal Data. | | | Week 11 | Modelling Continous Data. | | | Week 12 | Further Regresson Models for a Continuous Response. | | | Week 13 | Multivariate Methods. | | | Week 14 | Statistical Methods in Epidemiology. | | | Week 15 | Survival Analysis. | | | Week 16 | End-of-term exam | | | |
| 1 | Peter Armitage, Geoffrey Berry, J. N. S. Matthews . 2001. Statistical Methods in Medical Research, 4th Edition. Wiley-Blackwell | | | |
| 1 | Gonick, L. and Smith, W. (1993). The Cartoon Guide to Statistics. New York: Harper Collins. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 23/04/209 | 1 | 50 | | End-of-term exam | 16 | 23/06/209 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Uygulama | 2 | 8 | 16 | | Total work load | | | 16 |
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