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Information
| Code | BİS531 |
| Name | Linear Models |
| Term | 2023-2024 Academic Year |
| Term | 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 |
1 |
Course Goal / Objective
With this course, it is aimed that the student will be able to know different linear models that can be applied in the analysis of data obtained from clinical and epidemiological research methods, and to determine which of them will be appropriate in the analysis according to the characteristics of the data and to interpret the results of the application.
Course Content
In this course, the techniques used in linear model analysis will be explained with applications. Multivariate normal distribution, simple linear regression, multiple linear regression, analysis of variance, analysis of covariance and random and fixed effect models will be covered in the course content.
Course Precondition
Knowledge of linear algebra at undergraduate level is required.
Resources
Alvin Rencher, Linear Models in Statistics, Wiley and Sons, New York, 1999,
Notes
Faraway, Julian James. Linear Models with R, Second Edition. Taylor & Francis., 2014
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Writes the model using matrix algebra in linear models. |
| LO02 | Comprehends the importance of multivariate normal distribution in linear models. |
| LO03 | Writes simple and multiple linear regression models, counts the assumptions of the model, analyzes and calculates parameter estimates. |
| LO04 | Understands the relationship between analysis of variance and linear models, performs analysis of variance |
| LO05 | Counts the differences between analysis of covariance and analysis of variance |
| LO06 | Comprehends the differences between random effect and fixed effect models. |
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). | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Students explain demographic terminologies and statistical methods in the field of health sciences. | 2 |
| 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. | 2 |
| 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. | 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. | 3 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence | 2 |
| 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. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Matrix algebra 1 | Reading linear algebra | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Matrix algebra 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Multivariate normal distribution 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Multivariate normal distribution 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Simple linear regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Multiple linear regression 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 7 | Multiple linear regression 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
| 9 | Analysis of variance 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 10 | Analysis of variance 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 11 | Analysis of variance 3 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 12 | Analysis of covariance 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 13 | Analysis of covariance 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 14 | Random and fixed effect models 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 15 | Random and fixed effect models 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 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 | 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 | ||