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GRADUATE INSTITUTE of HEALTH SCIENCES / DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS
Biostatistics and Medical Informatics-Doctorate
Course Catalog
https://www.ktu.edu.tr/tebad
Phone: +90 0462 3775680
SABE
GRADUATE INSTITUTE of HEALTH SCIENCES / DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS / Biostatistics and Medical Informatics-Doctorate
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

TBB6016Statistical Method in the Decision Making Process2+2+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 2 hours of lectures and 2 hours of practicals per week
Lecturer--
Co-Lecturernone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The performance of diagnostic and screening tests used by health workers to teach how to evaluate, the best test or test for different situations to improve the decision-making knowledge of the components, the amount of information ability to decide the most effective strategy by considering the balance between teach.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : The performance of tests used for diagnostic and screening purposes can be measured using different criteria
PO - 2 : It can compare different tests in terms of different performance measures
PO - 4 : You can choose the best tool by observing the benefit-cost balance
PO - 5 : It can create the best combination when there are multiple tools to make decisions
PO - 6 : It can be a decision tree for a problem, it can criticize and discuss the literature at an advanced level.
PO - 7 : They can collaborate on these issues with people from different disciplines (medicine, engineering, statistics, etc.).
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Basic probability concepts, measurement of uncertainty, concept of envy probability,addition information, measurement of diagnostic accuracy, test performance (success) Selection and interpretation of measurement, screening and diagnostic tests, decision trees and decision making operation, cost-effectiveness analysis, sources of bias and corrections in studies methods, information theory approach.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic probability concepts
 Week 2Performance measures used in the evaluation of diagnostic tests, measures obtained by combining performance measures.
 Week 3Preliminary and posterior probabilities, estimation values.
 Week 4Statistical methods for performance measures and estimation values: Confidence intervals and hypothesis tests
 Week 5ROC (Receiver operating characteristic) curve
 Week 6Statistical methods for ROC curves: Confidence intervals and hypothesis tests. Determination of decision threshold.
 Week 7Three-way ROC Analysis.
 Week 8Establishment of the combination of the best combination of performance measures and combined test if multiple tests are used-I
 Week 9Establishment of the combination of the best combination of performance measures and combined test if multiple tests are used-II
 Week 10Midterm
 Week 11Decision trees, Cost-Efficiency and Cost-Benefit Analysis.
 Week 12Sources of bias and correction methods in diagnostic tests
 Week 13Theory of Information Theory in the evaluation of diagnostic tests-I
 Week 14Theory of Information Theory in the evaluation of diagnostic tests-II
 Week 15General test preparation
 Week 16Final Exam
 
Textbook / Material
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 10 1 30
Presentation 15 1 15
Homework/Assignment/Term-paper 12 1 15
End-of-term exam 16 1 40
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 4 14 56
Sınıf dışı çalışma 3 14 42
Arasınav 15 1 15
Uygulama 10 2 20
Ödev 5 3 15
Proje 32 1 32
Dönem sonu sınavı 30 1 30
Total work load210