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 |