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Information
| Code | BİS522 |
| Name | Statistical Methods in Epidemiology II |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 7 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
It is aimed that the student who has taken the basic epidemiology course will have the knowledge and skills to make basic analysis of categorical data and to have an idea about intermediate-advanced analysis of them.
Course Content
Basic analysis of categorical data, which are frequently encountered in epidemiolgy, will be studied theoretically and practically. Moderate-advanced level analysis of categorical data will be studied theoretically.
Course Precondition
BIS 521 Temel Epidemiyoloji is required
Resources
Stokes, Maura E., Charles S. Davis, and Gary G. Koch. 2000. Categorical Data Analysis Using the SAS® System, Second Edition. Cary, NC: SAS Institute Inc.
Notes
Kahn, Harold A., and Christopher T. Sempos. Statistical Methods in Epidemiology. Oxford University Press, 2010.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Counts the most frequent categorical data types observed in epidemiology. |
| LO02 | Analyzes 2x2, 2xr, sx2 and sxr tables and interprets their results. |
| LO03 | Counts non-parametric methods available for categorical data. |
| LO04 | Counts the types of logistic regression analysis, knows which logistic regression method should be used for the problem. |
| LO05 | Counts the differences between the weighted least squares method and the Generalized Estimation Equations method. |
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. | 3 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Students understand and use medical terminology. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Students collect data from research studies, analyze, and make inferences | |
| 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. | 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. | 2 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence | 4 |
| 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. | |
| 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. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | The importance of statistics in Epidemiology | Reading the topics covered in the Fundamentals of Epidemiology course | Öğretim Yöntemleri: Anlatım |
| 2 | Types of categorical data | Reading about categorical data types | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Analysis of 2x2 tables | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Tartışma |
| 4 | Analysis of 2xr and sx2 tables | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Tartışma |
| 5 | Analysis of sxr tables 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 6 | Analysis of sxr tables 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 7 | Nonparametric methods for analysis of categorical data | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösteri |
| 8 | Mid-Term Exam | Re-reading the chapters up to the midterm exam | Ölçme Yöntemleri: Ödev |
| 9 | Binary logistic regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösteri |
| 10 | Multinomial logistic regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösteri |
| 11 | Conditional logistic regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösteri |
| 12 | Poisson regression | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Weighted least squares | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Generalized Estimating Equations 1 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Gösteri |
| 15 | Generalized Estimating Equations 2 | Studying the appropriate chapter in the given resource book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 16 | Term Exams | Re-reading the chapters after the midterm exam | 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 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 9 | 9 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 173 | ||
| Total Workload / 25 (h) | 6,92 | ||
| ECTS | 7 ECTS | ||