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Description of Individual Course Units
| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits |
|---|---|---|---|---|---|
| 9382015092018 | Biostatistics in Clinical Pharmacy | 1 | 2 | 5,00 |
Level of Course Unit
Yüksek Lisans
Language of Instruction
Turkish
Objectives of the Course
The aim of this course to give basic knowledge and skills for data collection and statistical analysis in clinical pharmacy services and research.
Name of Lecturer(s)
Learning Outcomes
| 1 | To have knowledge about commonly used concepts in biostatistics |
| 2 | To be able collect and organize data in clinical pharmacy services |
| 3 | To have knowledge about statistical analysis softwares |
| 4 | To able to present data and result of a clinical pharmacy research |
| 5 | To be able to define the necessary data to be collected at the beginning of a research |
| 6 | To be able to decide how to classify the data collected in a research |
| 7 | To be able to determine the sample size required for a research |
| 8 | To be able to decide the statistical analysis that should be used to evaluate the data collected in a research |
| 9 | To be able to perform statistical analysis which may be necessary in clinical pharmacy research / services |
| 10 | To be able to interpret the results of a statistical analysis |
| 11 | To have basic knowledge about advanced statistical analysis methods |
Mode of Delivery
Face to Face
Prerequisities and Co-Requisities
None
Recommended Optional Programme Components
None
Content of the Course
1. Basic concepts commonly used in biostatistics 2. Data collection and analysis in MS excel 3. Basic database concepts 4. Data import and export between systems 5. Data collection and classification methods 6. Descriptive statistics 7. Commonly used software in statistical analysis 8. Data presentation in data tables 9. Graphical data presentation 10. Hypothesis tests 11. Parametric tests 12. Non-parametric tests 13. Correlation and regression analysis 14. Basic R language, definition of neural networks and machine learning
Weekly Detailed Course Contents
| Week | Subjects (Theoretical) | Practice, Laboratory | Teaching Methods | Preparatory |
|---|---|---|---|---|
| 1 | Basic concepts commonly used in biostatistics | Clinical Pharmacy Calculations with MS Excel | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes |
| 2 | Data collection and analysis in MS excel | Data types and data collection in Excel | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes |
| 3 | Basic database concepts | Data filtering and search in Excel | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes |
| 4 | Data import and export between systems | Data import and export in SPSS and MS Excel | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes |
| 5 | Data collection and classification methods | Data collection in SPSS | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976 |
| 6 | Descriptive statistics | Descriptive statistics in SPSS and Excel | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 7 | Mid-term exam | |||
| 8 | Commonly used software in statistical analysis | Clinical pharmacy calculation cases | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Biostatistics for clinical and public health research: Goodman, Melody S |
| 9 | Presenting data in tables | Data reporting in SPSS and Excel | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 10 | Graphical data presentation | Data graph types and drawing data graphs | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 11 | Hypothesis tests | Data formulations and data selection in SPSS | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 12 | Parametric tests | Parametric tests in SPSS | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 13 | Non-parametric tests | Non-parametric tests in SPSS | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 14 | Correlation and regression analysis | Correlation and regression analysis in SPSS | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, Bilgisayar, İstatistik ve Tıp, Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976, Biostatistics for clinical and public health research: Goodman, Melody S |
| 15 | Basic R language, definition of neural networks and machine learning | R Studio software Python shell, pandas library examples | Questions-Answers, Discussion, Practice on Sample Datasets | Lecture Notes, R ile Uygulamalı İstatistik İbrahim Demir 9786059594219 |
| 16 | Final exam |
Text Book / Material / Recommended Resources
1. Bilgisayar, İstatistik ve Tıp 2. R ile Uygulamalı İstatistik İbrahim Demir 9786059594219 3. Introductory biostatistics; Chap Te Le, Wiley 4. Biostatistics for clinical and public health research: Goodman, Melody S 5. Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler - Osman Hayran, Hanefi Özbek ISBN: 9786053352976
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
| Term (or Year) Learning Activities | Quantity | Weight |
|---|---|---|
| Midterm Examination | 1 | 100 |
| Total | 100 | |
| End Of Term (or Year) Learning Activities | Quantity | Weight |
| Final Examination | 1 | 100 |
| Total | 100 | |
| Term (or Year) Learning Activities | 40 | |
| End Of Term (or Year) Learning Activities | 60 | |
Work Pacement(s)
None
Workload Calculation
| Activities | Number | Time (hours) | Total Work Load (hours) |
|---|---|---|---|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Makeup Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 2 | 28 |
| Practice | 14 | 1 | 14 |
| Self Study | 1 | 50 | 50 |
| Individual Study for Homework Problems | 4 | 2 | 8 |
| Individual Study for Mid term Examination | 2 | 10 | 20 |
| Individual Study for Final Examination | 1 | 10 | 10 |
| Homework | 4 | 2 | 8 |
| Total Work Load (hours) | 143 | ||
Contribution of Learning Outcomes to Programme Outcomes
| PO 1 | PO 2 | PO 3 | PO 4 | PO 5 | PO 6 | PO 7 | PO 8 | PO 9 | PO 10 | |
| LO 1 | 1 | 2 | 3 | 1 | 2 | 1 | 1 | 1 | 3 | 4 |
| LO 2 | 1 | 2 | 2 | 1 | 1 | 1 | 2 | 1 | 3 | 5 |
| LO 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 3 | 3 |
| LO 4 | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 3 | 5 |
| LO 5 | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 3 | 4 |
| LO 6 | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 3 | 5 |
| LO 7 | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 3 | 4 |
| LO 8 | 2 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 3 | 5 |
| LO 9 | 1 | 2 | 2 | 1 | 3 | 1 | 1 | 1 | 3 | 5 |
| LO 10 | 2 | 2 | 3 | 1 | 3 | 1 | 1 | 1 | 3 | 5 |
| LO 11 | 1 | 2 | 3 | 1 | 2 | 1 | 2 | 1 | 3 | 2 |
* Contribution Level: 1 Very low 2 Low 3 Medium 4 High 5 Very High