OPERATING ROOM SERVICES (TURKISH)
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BME3005 Biostatistics Fall 2 2 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Associate (Short Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL
Course Lecturer(s): Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL
Recommended Optional Program Components: None
Course Objectives: - The course provides an introduction to selected important topics in biostatistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types; regression analysis, confidence intervals, correlations

Learning Outcomes

The students who have succeeded in this course;
- The students who have succeeded in this course;
I. Interpret statistical results correctly, effectively, and in context.
II. Select an appropriate test for comparing two or more populations, and interpret and explain a p-value
III. Understand the concept of the power of data.
IV. Calculate and interpret confidence intervals for population means and proportions
V. Understand regression analysis and correlation of variables.

Course Content

Design of Experiments, Statistical programming: , Exploratory Data Analysis and Descriptive Statistics, Probability Theory, Sampling Distributions and the Central Limit Theorem, Estimation, Statistical Inference, Contingency tables, Nonparametric Tests, Power and sample size, ANOVA, Correlation and Regression, Logistic regression, Survival Analysis, applications on biological datasets.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to biostatistics
2) Descriptive Statistics
3) Probability Theory
4) Sampling Distributions and the Central Limit Theorem
5) ANOVA
6) The Special Case of Two Groups: the t test
7) Contingency tables, Chi Square Test, z-test
8) Fisher Exact Test, Relative Risk, Odds Ratio
9) Power and Sample size
10) Paired t-test, Repeated Measures of Analysis of Variance, McNemar's Test
11) Nonparametric Tests: Mann-Whitney Rank-Sum Test, Wilcoxon Signed-Rank Test
12) Nonparametric Tests: Kruskal-Wallis Test, Friedman Test
13) Confidence Intervals
14) Correlation and Regression

Sources

Course Notes / Textbooks: Primer of Biostatistics, Stanton A. Glantz, McGraw-Hill, 7th Edition
Fundamental of Biostatistics, Bernard Rosner, Cengage Learning, 8th Edition
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 5 % 30
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 7 98
Quizzes 5 1 5
Midterms 1 3 3
Final 1 3 3
Total Workload 151

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) The use of theoretical knowledge in practice
2) Effective use the terminology of the field
3) Behave according to basic professional legislation related the field
4) Use information and communication technology, express professional knowledge through written and verbal/non-verbal communication
5) Express the social, scientific, cultural and ethical values of professional
6) Behave according to quality management and processes and participate in these processes
7) Develop themselves personally and professionally updating knowledge, skills and competencies of the field with lifelong learning awareness
8) Use basic level knowledge and skills related the field, interpret and evaluate the data, identify potential problems and solve them
9) Implement techniques according to developing technology and use new tools and devices
10) The ability to prepare the operating room for surgery
11) The ability to admit the patient into the operating room and to provide assistance for post - operational transport
12) The ability to have theoretical and practical knowledge related to the field at a basic level