BİS522 Statistical Methods Used in Epidemiology

7 ECTS - 2-2 Duration (T+A)- . Semester- 3 National Credit

Information

Code BİS522
Name Statistical Methods Used in Epidemiology
Term 2024-2025 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 Doç. Dr. İLKER ÜNAL (A Group) (Ins. in Charge)


Course Goal / Objective

The objective of this course is to impart the knowledge and skills necessary to perform fundamental analyses of categorical data frequently encountered in epidemiology, as well as to cultivate an understanding of intermediate and advanced level analyses.

Course Content

This is a course in which basic analyses of categorical data commonly encountered in epidemiology are demonstrated with their applications, while intermediate and advanced analyses are covered theoretically.

Course Precondition

None

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

Course notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Enumerate the categorical data types frequently encountered in epidemiology.
LO02 Analyzes 2x2, 2xr, sx2 and sxr tables and interprets the results.
LO03 Enumerates nonparametric methods suitable for categorical data.
LO04 Lists the types of logistic regression analysis and selects the appropriate logistic regression method for the situation.


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 4
PLO05 Beceriler - Bilişsel, Uygulamalı Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 5
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. 2
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.
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.
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 2x2 Tables I Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım, Gösteri
3 2x2 Tables II Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Gösterip Yaptırma
4 2xr and sx2 Tables I Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım, Gösteri
5 2xr and sx2 Tables II Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Gösterip Yaptırma
6 sxr Tables Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
7 Nonparametric methods Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
8 Mid-Term Exam Studying the appropriate chapter in the given resource book Ölçme Yöntemleri:
Ödev
9 Logistic regression: Binary I Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Logistic regression: Binary II Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Logistic regression: Multinomial Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım
12 Conditional Logistic regression Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım
13 Poisson regression Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım
14 Weighted LS Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım
15 GEE Studying the appropriate chapter in the given resource book Öğretim Yöntemleri:
Anlatım
16 Term Exams Studying the appropriate chapter in the given resource book Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Studying the appropriate chapter in the given resource book 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 3 15 45
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 20 20
Total Workload (Hour) 164
Total Workload / 25 (h) 6,56
ECTS 7 ECTS

Update Time: 21.02.2025 03:23