BİS555

4 ECTS - 1-2 Duration (T+A)- . Semester- 2 National Credit

Information

Code BİS555
Name
Term 2023-2024 Academic Year
Semester . Semester
Duration (T+A) 1-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

The aim is to synthesize the independent study findings obtained by the students as a result of the literature review with statistical methods and to extract summary information.

Course Content

The course content consists of literature review, effect size, heterogeneity concept and evaluation of heterogeneity, fixed effect and random effect models, summary criteria, subgroup analyzes, meta-regression, examination of publication bias.

Course Precondition

No

Resources

Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Subgroup analyses. Introduction to Meta-analysis, 149-86.

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Review the literature and evaluates the quality of the study.
LO02 Decides the model to be used by evaluating the heterogeneity in meta-analysis.
LO03 Identifies and solves bias problems related to meta-analysis.
LO04 It obtains summary statistics using the right type of analysis, uses graphical methods, and reports results.


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).
PLO02 Bilgi - Kuramsal, Olgusal Students explain demographic terminologies and statistical methods in the field of health sciences.
PLO03 Beceriler - Bilişsel, Uygulamalı Students understand and use medical terminology.
PLO04 Beceriler - Bilişsel, Uygulamalı Students collect data from research studies, analyze, and make inferences 5
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 3
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. 3
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.
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.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 3
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 Introduction to Systematics and Review and Meta-Analysis Reading Öğretim Yöntemleri:
Anlatım
2 Literature Search Methods, Databases Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Inclusion/exclusion criteria and Evaluation of Publication Quality Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Effect Size Course Materials Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
5 Evaluation of Heterogeneity Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Fixed and Random Effects Model Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Practice-1 Course Materials Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Ödev
9 Summary Statistics Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Presentation and Reporting with Table-Graphics Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Practice-2 Course Materials Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 Subgroup Analysis, Meta Regression-1 Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Alt Grup Analizi , Meta Regresyon-2 Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Evaluation of Publication Bias Course Materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Student Presentations Review Öğretim Yöntemleri:
Grup Çalışması
16 Term Exams Ölçme Yöntemleri:
Proje / Tasarım
17 Term Exams Ölçme Yöntemleri:
Proje / Tasarım


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 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 22.05.2023 11:18