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Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| BIOSTATISTICS (MEDICINE) (MASTER) (WITH THESIS) | |
| Code | BİS531 |
| Name | Linear Models |
| Term | 2025-2026 Academic Year |
| Term | Fall and Spring |
| 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 Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to enable the student to know the different linear models that can be applied in the analysis of data obtained from clinical and epidemiological research methods, to determine which of these will be appropriate in the analysis according to the characteristics of the data and to interpret the application results.
Course Content
The correlation between variables, modeling, linearity, regression
Course Precondition
None
Resources
Montgomery, D. C., Peck, E. A., Vining, G. G. (2021), Introduction to Linear Regression Analysis, 6th edition, John Wiely and Sons Inc. David W. Hosmer & Stanley Lemeshow. (2000), Applied Logistic Regression, Second Edition, John Wiley & Sons Inc.
Notes
Course notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines correlation, lists its types, performs correlation analysis and interprets it. |
| LO02 | Indicates the relationship between Correlation and Regression |
| LO03 | Lists the types of regression |
| LO04 | Calculate the coefficients in simple regression analysis |
| LO05 | Describe and interpret the results of multiple regression analysis |
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 | 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. | 4 |
| 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. | 2 |
| 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. | 5 |
| 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. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | Gathering information about the course on the web | Öğretim Yöntemleri: Anlatım |
| 2 | Correlation | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Linear Correlation | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 4 | Simple Linear Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Multiple Linear Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 6 | Model Checking in Multiple Linear Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Bireysel Çalışma |
| 7 | Diagnostic Statistics in Multiple Linear Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Grup Çalışması |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
| 9 | Variable selection in Multiple Linear Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 10 | Model validity in Multiple Linear Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 11 | Multiple Logistic Regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | Interpretation of the Builded Logistic Regression Model | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Model building strategies in Logistic Regression - I | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Bireysel Çalışma |
| 14 | Model building strategies in Logistic Regression - II | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Soru-Cevap, Grup Çalışması |
| 15 | Evaluation of the fit of the Logistic Regression model | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
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| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 4 | 10 | 40 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
| Final Exam | 1 | 20 | 20 |
| Total Workload (Hour) | 154 | ||
| Total Workload / 25 (h) | 6,16 | ||
| ECTS | 6 ECTS | ||