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| TBIO5001 | Elemental Laboratory Statistics | 2+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of MEDICAL BIOCHEMISTRY | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Ahmet MENTEŞE | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to enable students to learn the basic biostatistics methods used in scientific studies, to apply them to the results of the studies, to evaluate, interpret and report the results. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Knows the basic concepts of biostatistics, knows data collection and input to SPSS program, Knows the basic biostatistics methods used in scientific studies and can choose Test statistics. | 8 | 1, | | PO - 2 : | It can analyze the data, evaluate the results, interpret them and make a report, performs statistical analysis at a level to evaluate a scientific article. | 7,8,10,11 | 1, | | 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 | | |
| Data types, descriptive criteria, center measures, prevalence measures, making tables and graphs, hypothesis testing (parametric and nonparametric tests) and analyzing data through SPSS program |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to laboratory statistics | | | Week 2 | Collection, summary and presentation of the data, Sample population, parameter, statistics, universe sample, subject, description of continous and discontinous observation values
| | | Week 3 | Descriptive data, examples of mean and excessive value mean
| | | Week 4 | Central leaning measures, aritmetical mean, median, peak value, geometrical mean, harmonical mean. | | | Week 5 | Quartile and percentiles, sample problmes, percentile tables. | | | Week 6 | Variation analysis, variation amplitude, mean deviation, variance, standart deviation, variation deviation
| | | Week 7 | Prevalance of distribituon, standart deviation in classsified data, standart error, variance, coefficient of variation
| | | Week 8 | Mid-term exam | | | Week 9 | Sort of the errors and removal of the edge values | | | Week 10 | Table and graph construction, examples | | | Week 11 | Table and graph construction, examples | | | Week 12 | Hypothesis tests, hypotehesis examples. | | | Week 13 | Parametric tests | | | Week 14 | Parametric tests | | | Week 15 | Non-parametric tests | | | Week 16 | Final exam | | | |
| 1 | Hayran , M, Hayran, M, 2011; Sağlık Araştırmaları İçin Temel İstatistik, Omega Araştırma, ISBN: 978-605-62199-0-0 | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 27.11.2023 | 2 | 50 | | End-of-term exam | 16 | 15/01/2024 | 2 | 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 | 2 | 14 | 28 | | Sınıf dışı çalışma | 1 | 14 | 14 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 4 | 1 | 4 | | Arasınav | 2 | 1 | 2 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 5 | 1 | 5 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 55 |
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