Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Computer Applıed Bıostatıstıcs II HMS 604 0 3 + 0 3 6
Ön Koşul Dersleri HMS 603 COMPUTER APPLIED BIOSTATISTICS I
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Doktora
Dersin Türü Zorunlu
Dersin Koordinatörü Prof.Dr. ÜNAL ERKORKMAZ
Dersi Verenler Prof.Dr. ÜNAL ERKORKMAZ,
Dersin Yardımcıları
Dersin Kategorisi Genel Eğitim
Dersin Amacı Aims of this course are to teach biostatistical analysis in the health sciences both theoretically and practically.
Dersin İçeriği In this course, biostatistical analysis and advantages, definitions and necessity of biostatistics are described.
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Knows the one sample hypothesis tests Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
2 Knows the independent and dependent two-sample hypothesis tests Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
3 Knows the independent and dependent k sample hypothesis tests Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
4 Knows the multi-factorial analysis of experiments Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
5 Knows the correlation and regression analysis Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
6 Knows the linear regression analysis Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
7 Knows the logistic regression analysis Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
8 Knows the specific statistical methods in health sciences Lecture, Question-Answer, Drilland Practice, Testing, Homework,
9 Knows the reliability of medical diagnostic tests, and the ROC curve method Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
10 Knows the survival analysis Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
Hafta Ders Konuları Ön Hazırlık
1 One sample hypothesis testing
2 Independent two sample hypothesis testing
3 Dependent two-sample tests of hypotheses
4 Independent k sample hypothesis testing
5 Dependent k sample hypothesis testing
6 Multi-factorial analysis of experiments
7 Applications
8 Correlation and regression analysis
9 Linear regression analysis
10 Logistic regression analysis
11 Special statistical methods in health sciences
12 The reliability of medical diagnostic tests, and the ROC curve method
13 Survival analysis
14 Applications
Kaynaklar
Ders Notu Özdamar K, SPSS ile Biyoistatistik, Nisan Kitabevi, 2013.
Ders Kaynakları 1. Alpar R, Ugulamalı İstatistik, Detay Yayıncılık, Ankara 2012.
2. Özdamar K, Paket Programlar ile İstatistiksel Veri Analizi Cilt 1, Nisan Kitabevi, 2013.
3. Özdamar K, Paket Programlar ile İstatistiksel Veri Analizi Cilt 2, Nisan Kitabevi, 2013.
4. Çelik Y, NASIL? Biyoistatistik, Bilimsel Araştırma, SPSS, I. Baskı Eylül 2011.
5. SPSS Inc. Advanced Models, 11.0, SPSS Inc. Chicago, 2001
6. Belle GY, Fısher LD, Heagerty PJ, Lumley P. Biostatistics A Methodology for the Health Sciences, A John Wıley & Sons Inc., 2004
7. Applied Multivariate Statistical Analysis, R.A. Johnson and D.W. Wichern, Prentice Hall Inc., New Jarsey, 1988.
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 Based on knowledge acquired during a Master’s degree program, the student increases his/her advanced and up-to-date knowledge to a higher level via original ideas and/or research while being aware of life-long learning. X
2 Understands interdisciplinary interactions in his/her field, analyzes and evaluates new and complex ideas. X
2 Understands interdisciplinary interactions in his/her field, analyzes and evaluates new and complex ideas.
3 Expands knowledge in his/her field via publishing a scientific article in national and/or international peer-reviewed journals.
3 Expands knowledge in his/her field via publishing a scientific article in national and/or international peer-reviewed journals. X
4 Uses skills of creative and critical thinking, problem solving, and research and evidence based decision making when solving complex problems in the field of nursing. X
4 Uses skills of creative and critical thinking, problem solving, and research and evidence based decision making when solving complex problems in the field of nursing.
5 Can communicate and discuss in at least one foreign language at an advanced level in oral, written, and visual forms.
5 Can communicate and discuss in at least one foreign language at an advanced level in oral, written, and visual forms.
6 Provides solutions to social, scientific, and ethical matters encountered in the field and in the profession and supports the development of such values.
6 Provides solutions to social, scientific, and ethical matters encountered in the field and in the profession and supports the development of such values.
7 As an expert in the field, uses effective communication skills for defending his/her original opinions.
7 As an expert in the field, uses effective communication skills for defending his/her original opinions. X
8 Leads in environments that require solving original and interdisciplinary problems. X
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ödev 100
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Performance Task (Application) 1 20 20
Final examination 1 20 20
Toplam İş Yükü 146
Toplam İş Yükü / 25 (Saat) 5,84
Dersin AKTS Kredisi 6