BİS540 Applied Biostatistics

6 ECTS - 2-2 Duration (T+A)- . Semester- 3 National Credit

Information

Code BİS540
Name Applied Biostatistics
Semester . Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal

Gaining knowledge and skills in planning, analyzing and interpreting research using biostatistical techniques

Course Content

Health research will be designed, data collection will be developed and data entry will be made in SPSS. The data obtained will be analyzed in SPSS with the tests used in the field of biostatistics and data presentation will be made.

Course Precondition

No

Resources

1.Wassertheil-Smoller, S., & Smoller, J. (2004). Biostatistics and epidemiology: a primer for health and biomedical professionals (pp. 161-167). New York: Springer-Verlag. 2.Alpar, R. (2012). Uygulamalı istatistik ve geçerlik-güvenirlik: spor, sağlık ve eğitim bilimlerinden örneklerle. Detay Yayıncılık.

Notes

Course materials


Course Learning Outcomes

Order Course Learning Outcomes
LO01 comprehend the place and importance of biostatistics
LO02 Designs the appropriate research method, collects data in the health field, enters data in SPSS
LO03 Distinguish between hypothesis tests, apply them in SPSS and interpret the results
LO04 Presents the results obtained using statistical methods verbally and visually


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 4
PLO02 Bilgi - Kuramsal, Olgusal Students explain demographic terminologies and statistical methods in the field of health sciences. 4
PLO03 Beceriler - Bilişsel, Uygulamalı Students understand and use medical terminology.
PLO04 Beceriler - Bilişsel, Uygulamalı Students collect data from research studies, analyze, and make inferences 3
PLO05 Beceriler - Bilişsel, Uygulamalı Students knows the system of international classification of diseases, obtain and analyze hospital statistics.
PLO06 Beceriler - Bilişsel, Uygulamalı Students design scientific research studies in order to give response to the problem arising from health and clinical sciences
PLO07 Beceriler - Bilişsel, Uygulamalı Students select the appropriate statistical procedure for analysis , apply and make inferences. 3
PLO08 Beceriler - Bilişsel, Uygulamalı Students use the necessary statistical packages for analysis, if necessary write and develop software.
PLO09 Beceriler - Bilişsel, Uygulamalı Students follow the latest development in medical informatics and employ frequently used tools and methods.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students design health survey, determine the sampling method and conduct the survey
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 4
PLO12 Yetkinlikler - Öğrenme Yetkinliği Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence
PLO13 Yetkinlikler - Öğrenme Yetkinliği Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 3
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test.


Week Plan

Week Topic Preparation Methods
1 Definitions and Data Measurement Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Introduction to SPSS Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Descriptive statistics and graphical methods with SPSS-1 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Descriptive statistics and graphical methods with SPSS-2 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Parametric and non-parametric hypothesis tests Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Parametric and non-parametric hypothesis testing applications in SPSS-1 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Parametric and non-parametric hypothesis testing applications in SPSS-2 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Ölçme Yöntemleri:
Ödev
9 Calculation and interpretation of correlation coefficient in SPSS Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Regression analysis in SPSS-1 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Regression anayisis in SPSS-2 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Designing a research in the field of health Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Research methods and data collection tools Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Data presentation with table and graphics-1 Course materials Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
15 Data presentation with table and graphics-2 Course materials Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Proje / Tasarım
17 Term Exams Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 1 2 2
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 154
Total Workload / 25 (h) 6,16
ECTS 6 ECTS