BİS522 Statistical Methods in Epidemiology II

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

Information

Code BİS522
Name Statistical Methods in Epidemiology II
Semester . Semester
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 Goal

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