Information Package / Course Catalogue
Categorical Data Analysis
Course Code: BİS627
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 4
Prt.: 0
Credit: 4
Lab: 0
ECTS: 4
Objectives of the Course

Multi-dimensional cross-tables and comments can evaluate and analyze the information with the help of statistical package programs and to gain experience.

Course Content

Modeling, model selection, goodness of fit tests, parameter estimates, measures of association, significance levels and to determine sources of significance .

Name of Lecturer(s)
Learning Outcomes
1.Knowing and applying special designs to study in health sciences
2.Eveluation of categorical data apropriate to study design
3.Chi square and hypothesis tests
4.Loglinear models in multi factor tables
5.To be able to use statistical methods specific to repeated and sequential categorical variables and mixed effect models
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Theorem of probability and Bayesian
Week 2 - Theoretical
2x2 contingency tables
Week 3 - Theoretical
Categorical Data anaylsis: Cross-sectional studies
Week 4 - Theoretical
Categorical Data anaylsis: Prospective and retrospective studies - I
Week 5 - Theoretical
Categorical Data anaylsis: Prospective and retrospective studies - II
Week 6 - Theoretical
Coltrolled clinical trials - I
Week 7 - Theoretical
Controlled clinical trials - II
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
RxC contingency tables - I
Week 10 - Theoretical
RxC contingency tables - II
Week 11 - Theoretical
Multidimensional tables and log linear models - I
Week 12 - Theoretical
Multidimensional tables and log linear models - II
Week 13 - Theoretical
Multidimensional tables and log linear models - III
Week 14 - Theoretical
Multidimensional tables and log linear models - IV
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140456
Assignment1516
Midterm Examination115217
Final Examination120222
TOTAL WORKLOAD (hours)101
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
4
4
4
4
3
3
2
OÇ-2
4
4
4
4
3
2
2
OÇ-3
4
4
4
4
3
2
2
OÇ-4
4
4
4
4
3
3
3
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026