Information
Code | ISB418 |
Name | Biostatistics Specific to Healthcare |
Term | 2024-2025 Academic Year |
Semester | 8. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 5 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Lisans Dersi |
Type | Normal |
Label | VK Vocational Knowledge Courses E Elective |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. GÜLŞAH SEYDAOĞLU |
Course Instructor |
1 2 |
Course Goal / Objective
It is aimed that students gain knowledge and skills in planning, analyzing and interpreting research in the field of health using advanced biostatistics techniques.
Course Content
Interpreting and reporting data using advanced biostatistical analysis methods by designing research in the field of health
Course Precondition
No
Resources
1.Van Belle, G., Fisher, L. D., Heagerty, P. J., & Lumley, T. (2004). Biostatistics: a methodology for the health sciences. John Wiley & Sons. 2.Wassertheil-Smoller, S., & Smoller, J. (2004). Biostatistics and epidemiology: a primer for health and biomedical professionals (pp. 161-167). New York: Springer-Verlag. 3.Alpar, R. (2012). Uygulamalı istatistik ve geçerlik-güvenirlik: spor, sağlık ve eğitim bilimlerinden örneklerle. Detay Yayıncılık.
Notes
Lecture notes, SAĞLIK ALANINA ÖZEL İSTATİSTİKSEL YÖNTEMLER, KADİR SÜMBÜLOĞLU
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Understands the statistical methods used in the field of health. |
LO02 | Designs a research in the field of health |
LO03 | Designs research to identify problems in the field of health. |
LO04 | Explain the statistical data sources used in the field of health. |
LO05 | Analyzes using data obtained from databases in the field of health. |
LO06 | Analyzes by using statistical methods specific to the health field |
LO07 | Interprets tables and graphs summarizing advanced statistical analysis results |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 4 |
PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 4 |
PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 4 |
PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 4 |
PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 3 |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | |
PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | the statistical methods used in the field of health. | Reading | |
2 | Access the statistical data sources used in the field of health. | Course material | |
3 | Designing research in the field of health | Course material | |
4 | Data entry with packet programs | Course material | |
5 | Applied regression analysis in healthcare-1 | Course material | |
6 | Applied regression analysis in healthcare-2 | Course material | |
7 | Outbreak Analysis in Diseases | Course material | |
8 | Mid-Term Exam | - | |
9 | Survival analysis | Course material | |
10 | Survival analysis and Cox regression | Course material | |
11 | Performance criteria in diagnostic tests | Course material | |
12 | ROC analysis with performance criteria in diagnostic tests | Course material | |
13 | Systematic review and analysis | Course material | |
14 | Reporting of data with tables and graphics-1 | Course material | |
15 | Reporting of data with tables and graphics-2 | Course material | |
16 | Term Exams | - | |
17 | Term Exams | - |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
Final Exam | 1 | 18 | 18 |
Total Workload (Hour) | 114 | ||
Total Workload / 25 (h) | 4,56 | ||
ECTS | 5 ECTS |