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Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| BIOSTATISTICS (MEDICINE) (MASTER) (WITHOUT THESIS) (EVENING EDUCATION) | |
| Code | BIST523 |
| Name | Advanced Statistical Methods in Medicine |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisansüstü Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. YAŞAR SERTDEMİR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to enable students to understand advanced statistical methods suitable for health-specific data structures, select appropriate techniques, and correctly interpret results in clinical and field applications.
Course Content
This course covers advanced statistical methods used in health sciences. Topics include distributional characteristics of health data, advanced parametric and non-parametric methods, logistic regression, survival analysis (Kaplan–Meier, Cox regression), repeated measures, generalized linear models, multivariate analysis approaches, model assumptions, and interpretation of results within clinical and epidemiological contexts. Applications are conducted using real-world health datasets.
Course Precondition
No prerequisites. (Completion of a basic biostatistics course is recommended.)
Resources
Kleinbaum, D. G., Klein, M. Survival Analysis: A Self-Learning Text
Notes
Lecturer's course notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Define advanced statistical methods specific to health sciences. |
| LO02 | Select appropriate advanced statistical techniques for different health data types. |
| LO03 | Explain the purposes and applications of logistic regression and survival analysis. |
| LO04 | Interpret analyses based on multivariate and repeated-measures data. |
| LO05 | Evaluate model assumptions and explain results within a clinical context. |
| LO06 | Present advanced statistical analysis results in accordance with scientific reporting standards. |
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. | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explain the basic logic of regression, modeling, and advanced statistical methods used in health sciences. | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Analyze and interpret data obtained from health research using appropriate statistical methods. | 5 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Perform statistical analyses and generate outputs using statistical software packages. | 3 |
| 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. | 5 |
| 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. | |
| 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. | 2 |
| 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; characteristics of health data | Reading | Öğretim Yöntemleri: Anlatım |
| 2 | Introduction to advanced parametric and non-parametric methods | Reading | Öğretim Yöntemleri: Anlatım |
| 3 | Introduction to logistic regression | Reading | Öğretim Yöntemleri: Anlatım |
| 4 | Interpretation of logistic regression | Reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Introduction to survival analysis | Reading | Öğretim Yöntemleri: Anlatım |
| 6 | Kaplan–Meier methods | Reading | Öğretim Yöntemleri: Anlatım |
| 7 | Cox regression model | Reading | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | Repeated measures and longitudinal data | Reading | Öğretim Yöntemleri: Anlatım |
| 10 | Generalized linear models | Reading | Öğretim Yöntemleri: Anlatım |
| 11 | Introduction to multivariate analyses | Reading | Öğretim Yöntemleri: Anlatım |
| 12 | Model assumptions and goodness-of-fit | Reading | Öğretim Yöntemleri: Anlatım |
| 13 | Applied examples from health sciences | Reading | Öğretim Yöntemleri: Anlatım |
| 14 | General review | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Tartışma |
| 15 | Evaluation of applications | Reading | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Proje / Tasarım, Ödev |
|
| 17 | Term Exams | Ölçme Yöntemleri: Proje / Tasarım, 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 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 15 | 15 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||