Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
Statistical Methods in Decision Making Process 23601049 1 + 0 1.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery Lecture,Q&A,Discussion,Practise
Course Coordinator
Instructors Yasemin YAVUZ
Assistants
Goals To educate experts who knows and calculates the test characteristics of the diagnostic tests used in medicine and interprets the results obtained
Course Content Introduction and Basic Concepts of Probability, Diagnostic Tests and Diagnostic Test Types, Determining the Measures of Accuracy for 2x2 Tables, Reciever Operating Characteristic Curve (ROC) Analysis, Decision Trees, Sensitivity Analysis
Learning Outcomes 1) Defines the basic concepts of the probability theory.
2) Explains the concepts of prior probability, posterier probability, odds and likelihood ratio with examples.
3) Calculates the sensitivity, specificity, predictive values and the prevalance.
4) Calculates the confidence intervals for the measures of accuracy.
5) Calculates the measures of accuracy of the diagnostic tests for 2x2 tables.
6) Performs receiver operating characteristics curve analysis.
7) Calculates combined test characteristics.
8) Explains the usage of the sensitivity analysis and the decision trees.
9) Calculates the test characteristics by using statistical softwares.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction and Basic Concepts of Probability Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Diagnostic Tests and Diagnostic Test Types Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
3. Week Determining the Measures of Accuracy for 2x2 Tables Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week Sensitivity, Specificity, Predictive Values, Prevelance Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
5. Week Practice I Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week The Concepts of Prior and Posterier Probability, Odds and Likelihood Ratio Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Confidence Intervals for Sensitivity and Specificity Values Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
8. Week Confidence Intervals for the Likelihood Ratio, Positive and Negative Predictive Values Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
9. Week Prevelance Calculation with Screening Tests Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week Reciever Operating Characteristic Curve (ROC) Analysis I Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week Reciever Operating Characteristic Curve (ROC) Analysis II Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Practice II Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week Combined Test Characteristics Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week Comparing the Sensitivity and Specificity Values of the Alternative Tests Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
15. Week Decision Trees Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)
16. Week Sensitivity Analysis Lecture
Colloquium
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Armitage, P., Colton, T.: Encyclopedia of Biostatistics, 1998, John Wiley & Sons, Chichester, England
Dawson-Saunders B., Trapp, R.G.: Basic and Clinical Biostatistics, 1990, Appleton & Lange, Connecticut.
Zhou, X-H., Obuchowski, N.A., McClish, D.K.: Statistical Methods in Diagnostic Medicine, 2002, Wiley Series in Probability and Statistics, New York.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8DK9
PY15000000000
PY25000000000
PY35000000000
PY45000000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 2 4
Presentation (Including Preparation Time) 2 8
Report (Including Preparation and presentation Time) 2 10
Final Exam 1 1
Time to prepare for Final Exam 1 8
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload