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Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| BIOSTATISTICS (MEDICINE) (MASTER) (WITHOUT THESIS) (EVENING EDUCATION) | |
| Code | BIST520 |
| Name | Medical Decision Making |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-1 (T-A) (17 Week) |
| ECTS | 7 ECTS |
| National Credit | 3.5 National Credit |
| Teaching Language | Türkçe |
| Level | Lisansüstü Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. İLKER ÜNAL |
| Course Instructor |
Doç. Dr. İLKER ÜNAL
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to enable students to statistically evaluate diagnostic tests, correctly interpret test performance measures, and make evidence-based, diagnosis-oriented decisions in healthcare settings.
Course Content
This course focuses on statistical approaches used in diagnostic decision-making in healthcare. Topics include evaluation of diagnostic tests, sensitivity, specificity, positive and negative predictive values (PPV, NPV), likelihood ratios, pre-test and post-test probability, ROC curves and AUC, determination of cut-off values, interpretation of diagnostic accuracy, and diagnosis-based decision-making processes. Topics are illustrated using examples from clinical and field practice.
Course Precondition
No prerequisites. (Basic knowledge of biostatistics is recommended.)
Resources
Zhou, X. H., Obuchowski, N. A., McClish, D. K. Statistical Methods in Diagnostic Medicin
Notes
STARD reporting guidelines Recent diagnostic accuracy research articles Sample datasets of clinical diagnostic tests
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain basic performance measures of diagnostic tests. |
| LO02 | Calculate and interpret sensitivity, specificity, PPV, and NPV. |
| LO03 | Use pre-test and post-test probabilities in diagnostic decision-making. |
| LO04 | Construct ROC curves and interpret AUC values. |
| LO05 | Determine appropriate cut-off values for diagnostic tests. |
| LO06 | Integrate diagnostic test results into clinical decision-making. |
| LO07 | Evaluate diagnostic outcomes in accordance with ethical and scientific principles. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain basic biostatistics, probability, and demographic concepts used in health sciences. | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Define research designs, sampling methods, and data types used in health research. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain the foundations of statistical approaches used in healthcare decision-making processes. | 5 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explain the basic logic of regression, modeling, and advanced statistical methods used in health sciences. | 2 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Analyze and interpret data obtained from health research using appropriate statistical methods. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Perform statistical analyses and generate outputs using statistical software packages. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Apply basic data science, artificial intelligence, and machine learning applications in health sciences. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Evaluate multiple regression and survival analysis results in a clinical context. | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Analyze genetic and biomedical data using basic analytical approaches. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Apply scale development, validity, and reliability analyses. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conduct data analysis and reporting within the scope of a term project. | 2 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Apply and manage sampling procedures in health studies. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Critically evaluate scientific studies from a statistical perspective. | 3 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Present analysis results in accordance with ethical principles. | 2 |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Applies fundamental concepts of epidemiology and health statistics to clinical and field settings. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course introduction; diagnosis-based decision making | Reading | Öğretim Yöntemleri: Anlatım |
| 2 | Diagnostic tests and basic concepts | Reading | Öğretim Yöntemleri: Anlatım |
| 3 | Sensitivity and specificity | Reading | Öğretim Yöntemleri: Anlatım |
| 4 | Positive and negative predictive values (PPV–NPV) | Reading | Öğretim Yöntemleri: Anlatım |
| 5 | Pre-test and post-test probability | Reading | Öğretim Yöntemleri: Anlatım |
| 6 | Likelihood ratios | Reading | Öğretim Yöntemleri: Anlatım |
| 7 | Comparison of diagnostic tests | Reading | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | ROC curves and AUC | Reading | Öğretim Yöntemleri: Anlatım |
| 10 | Determination of cut-off values | Reading | Öğretim Yöntemleri: Anlatım |
| 11 | Diagnostic accuracy and clinical interpretation | Reading | Öğretim Yöntemleri: Anlatım |
| 12 | Bias and ethics in diagnostic studies | Reading | Öğretim Yöntemleri: Anlatım |
| 13 | Reporting results in diagnostic studies | Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 14 | General review | Reading | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 15 | Applications | No need | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev |
|
| 17 | Term Exams | Ölçme Yöntemleri: Ödev |
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 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 20 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 20 | 20 |
| Final Exam | 1 | 20 | 20 |
| Total Workload (Hour) | 172 | ||
| Total Workload / 25 (h) | 6,88 | ||
| ECTS | 7 ECTS | ||