HEM6028 BiostatisticsBahçeşehir UniversityDegree Programs NURSING (TURKISH, PHD)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
NURSING (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
HEM6028 Biostatistics Fall
Spring
3 0 3 9
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. FATMA ETİ ASLAN
Recommended Optional Program Components: None.
Course Objectives: planning of scientific research in the medical field, execution and analysis phases of the biostatistical methods commonly used by computer softwares, learning with applications

Learning Outcomes

The students who have succeeded in this course;
1 to prepare a database, check the database and cleaning of errors
2 calculates the interpretation of the data descriptive statistics
3 whether to interpret the results of hypothesis tests
4 regression analysis and logistic regression to analyze and interpret the results
5 sample size calculation in research and learn to do power analysis

Course Content

Basic concepts of biostatistics, SPSS software, data collection methods, create a database, analyze the data

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Intraduction.
2) Basic concepts in biostatistics
3) SPSS presentation
4) Database creation - data control and cleaning
5) Hypothesis testing and application areas
6) Chi-square tests implementation and interpretation
7) T tests implementation and interpretation
8) Mann-Whitney U test, Wilcoxon application and interpretation of the application and interpretation
9) Application and interpretation of correlation and linear regression
10) Analysis of variance application and interpretation
11) Multivariate analysis and modeling methods
12) Multiple regression application and interpretation
13) Logistic regression model application and interpretation
14) Evaluation of the course.

Sources

Course Notes / Textbooks: Her hafta verilecek
References: Ana kaynak:
1. K. Özdamar. SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir, 2003.
2. Aksakoğlu G. Sağlıkta araştırma teknikleri ve analiz yöntemleri. DEÜ Rektörlük Matbaası, İzmir 2001.

Yardımcı kaynaklar:
3. http://www.spss.com.tr/
4. http://www.pitzer.edu/offices/information_technology/documentation/miscellaneous/spssbasics. pdf

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 9 126
Study Hours Out of Class 5 10 50
Presentations / Seminar 4 8 32
Homework Assignments 4 8 32
Quizzes 2 4 8
Midterms 1 1 1
Final 1 1 1
Total Workload 250

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To be able to reflect nursing knowledge into practice, and to gain skills and comprehensive and contemporary knowledge, and develop critical and creative thinking skills. 2
2) To learn the importance of the application of ethical principles and committees in health care for the individual and society.
3) To be able to use multidisciplinary and community-based approaches for responding health problems, and meeting needs for health protection and development and for solving health problems of individual, family and community both at national and international levels.
4) To develop skills for combining theoretical knowledge with professional practice learned during expertise in the field of nursing and to synthesize, and to reflect the knowledge into research and practices. 2
5) To use the contemporary professional and nursing care and information technologies in an advanced level and to able to create new solutions. 4
6) To be able access to information related to nursing concepts, principles and methods, and to be able to conduct assessment and do scientific research, and to be able reflect the knowledge and skills into practice. 2
7) To follow up advances in evidence based practice and to conduct evidence-based research that will contribute to professional practices. 1
8) To follow up emerging technologies and current development and changes in health policy and scientific research in the field of healthcare necessary for the professional practice.
9) To plan, implement and evaluate professional projects and research in collaboration across other disciplines in health care, with a sense of social responsibility.
10) To develop new ideas and methods based on high-level mental processes such as creative and critical thinking, problem solving and decision making.
11) To act as a leader in environments for solving professional and interdisciplinary problems.
12) To conduct studies in field of health based on advanced professional development and lifelong learning principles.