EBE605 Advanced Biostatistics (C)

5 ECTS - 2-2 Duration (T+A)- . Semester- 3 National Credit

Information

Code EBE605
Name Advanced Biostatistics (C)
Term 2022-2023 Academic Year
Semester . Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

In this course, it is aimed to transfer advanced analysis and information about the use, interpretation and reporting of statistical analyzes used in studies conducted in the field of health, especially midwifery.

Course Content

Science and the scientific method, istatsitik and biostatistics, Biostatistics and computing, operating systems, SPSS, data collection in Health Sciences, ınput data in SPSS, classification, and tabulation, showing graphs, descriptive statistics, probability, frequency distributions, and some theoretical distributions, sampling methods, hypothesis testing, parametric tests parametric tests, analysis of variance, nonparametric tests, regression and correlation analysis, special statistical methods in the field of Health.

Course Precondition

None

Resources

1. Suat CEBECİ Scientific Research and Writing Techniques Alfa Training Books Istanbul, 2002 9789753164481 2. Özdamar K. Biostatistics with SPSS, ETAM A.Ş. Printing House Eskişehir, 2001 9789756428573 3. Ahmet Hamdi İSLAMOĞLU Scientific Research Methods Beta İstanbul 2003 9752953115

Notes

Lecture notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains statistical methods and principles
LO02 Decides on the selection of the correct materiality test that is appropriate for the research data and experimental structure and makes its application.
LO03 organizes datasets and draws statistically significant results from these datasets.
LO04 Applies and interprets statistical analysis.
LO05 Knows which types of variables, for what purpose, and how to apply which statistical analysis techniques.
LO06 Use the statistical package program effectively.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Develops and deepens the current and advanced knowledge in the field of midwifery with the knowledge obtained from different disciplines, original thought, and/or research, and reaches original results that can bring innovation to the field of midwifery.
PLO02 Bilgi - Kuramsal, Olgusal With evidence-based practices, an ethical approach, and professional philosophy, she sets an example for her colleagues, healthcare team, and society.
PLO03 Bilgi - Kuramsal, Olgusal Carries out projects and research that will contribute to the social development and strengthening of the midwifery profession, independently or in a team, and reflects the results of its practices. 3
PLO04 Beceriler - Bilişsel, Uygulamalı Maintains professional and individual development by adopting lifelong learning as a principle, and develops new thoughts and methods about midwifery by using high-level mental processes such as creative and critical thinking, problem-solving, and decision-making.
PLO05 Beceriler - Bilişsel, Uygulamalı Has the point of view to develop concepts, theories, and models related to the midwifery profession, can develop innovative ideas, method design, and application or adapt a known idea, method, or practice to a different field.
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Has a high level of knowledge on research methods and performs statistical analysis to evaluate a scientific article. 5
PLO07 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Publishes the results obtained from original research and projects in national/internationally accepted peer-reviewed scientific journals and presents them at scientific meetings. 4
PLO08 Yetkinlikler - İletişim ve Sosyal Yetkinlik Pioneers the development of field-specific policies by analyzing the needs of society, adopting innovative approaches, and accessing the right information easily and quickly.
PLO09 Yetkinlikler - İletişim ve Sosyal Yetkinlik Has developed leadership skills, takes responsibility for the solution of midwifery and related interdisciplinary problems, and leads by using strategic decision-making processes.
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Using their knowledge of teaching methods and techniques, they can create a training program in their field, conduct training, and evaluate the results.


Week Plan

Week Topic Preparation Methods
1 Introduction to biostatistics.Classification of data and distribution measures. reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
2 Theoretical distributions Sampling methods and sample size. reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Gösterip Yaptırma
3 Significance test of population mean Significance test of population ratio Significance test of difference between two means Significance test of difference between two spouses reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma, Alıştırma ve Uygulama, Beyin Fırtınası
4 One-way analysis of variance in independent groups One-way analysis of variance in dependent groups reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Gösterip Yaptırma
5 Sign test Mann whitney u test Wilcoxon paired two-sample test Kruskal Wallis analysis of variance Chi-square analysis reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Grup Çalışması
6 One Way and Two Way Analysis of Variance (One Way Anova) And Spss Application reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma
7 ONE WAY MANOVA and SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Mid-Term Exam general review Ölçme Yöntemleri:
Yazılı Sınav
9 TWO WAY MANOVA and SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma
10 ANALYSIS OF COVARIANCE (ANCOVA) SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
11 RELIABILITY ANALYSIS and SPSS APPLICATION reading, research Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Alıştırma ve Uygulama
12 FACTOR ANALYSIS SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
13 SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
15 LOGISTICS REGRESSION ANALYSIS and SPSS APPLICATION reading, research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
16 Term Exams general review Ölçme Yöntemleri:
Performans Değerlendirmesi, Yazılı Sınav
17 Term Exams general review Ölçme Yöntemleri:
Performans Değerlendirmesi, Yazılı Sınav


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 3 42
Assesment Related Works
Homeworks, Projects, Others 1 3 3
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 16 16
Total Workload (Hour) 125
Total Workload / 25 (h) 5,00
ECTS 5 ECTS

Update Time: 18.11.2022 11:26