Ondokuz Mayıs Üniversitesi Bilgi Paketi - Ders Kataloğu

Description of Individual Course Units

Course Unit CodeCourse Unit TitleType of CourseYearSemesterECTS
BİS610 Biostatistics With Computer Applications 927001 1 1 6
Level of Course Unit
Second Cycle
Objectives of the Course
To ensure that students collect data about specific topics, summarize them and evaluate
Name of Lecturer(s)
Learning Outcomes
  1. He/She should explain probability and non-probability sampling methods
  2. He/She should explain how to organize and describe medical data and
  3. He/She should have knowledge about descriptive statistics and should
  4. He/She should make definitions for hypothesis, statistical error types and
  5. He/She should have knowledge about assumptions of hypothesis testing
  6. He/She should have knowledge about principles of hypothesis testing for
  7. He/She should have knowledge about principles of hypothesis testing for
  8. He/She should interpret analyzing results and should explain reporting
  9. He/She should use statistics package programs
Mode of Delivery
Formal Education
Prerequisites and co-requisities
Recommended Optional Programme Components
Recommended or Required Reading
Lecture notes and presentations of lecturersAlpar Reha,“Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalıİstatistik ve Geçerlik – Güvenirlik”, Detay Yayıncılık, 4. Baskı, 2016,Ankara,ISBN 978-605-5681-87-6Sümbüloğlu Kadir, Sümbüloğlu Vildan,“Biyoistatistik”, 16. Baskı. HatiboğluYayınevi, 2014.Dişçi Rian,“Temel ve Klinik Biyoistatistik”, Medikal Yayıncılık, 2012,İstanbul.Özdamar, Kazım. “Paket Programlar ile İstatistiksel Veri Analizi I-II”, KaanKitabevi, 1999, Eskişehir.Gerald Van Belle, [et al.]. “Biostatistics: A Methodology for the HealthSciences”, 2nd Ed. John Wiley and Sons, Inc, 2004, New Jersey.Michael R. Chernick, Robert H. Friis “Introductory Biostatistics for theHealth Sciences”. John Wiley and Sons, Inc, 2003, New Jersey.Birger Madsen,“Statistics for Non-Statisticians”, Springer-Verlag, 2011,Berlin Heidelberg.Matthews D.E, and Farewell V.T.“Using and Understanding MedicalStatistics. 4th, Completely Revised and Enlarged Edition”, S. Karger AG,P.O. Box, CH–4009,2007, Basel (Switzerland).
Planned Learning Activities and Teaching Methods
Language of Instruction
Work Placement(s)
Course Contents
Students should understand the parts of the process through which statistics work to answer questions, namely:-How to obtain or generate data-How to graph the data as a first step in analyzing data, and how to know when that’s enough to answer the question of interest-How to interpret numerical situations and graphical; displays of data—both to answer questions and to check conditions (in order to use statisticalprocedures correctly)-How to make appropriate use of statistical inference-How to communicate the results of a statistical analysis.-The concept of a sampling distribution and how it applies to making statistical inferences based on samples of data-The concept of statistical significance including significant levels and pvalues-The concept of confidence interval, including the confidence level and the margin of error.-How to interpret statistical results in context-How to critique news stories and journal articles that include statistical information, including identifying what’s missing in the presentation and theflaws in the studies or methods used to generate the information
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1.What is Biostatistics
2.Types of variables and measurement of scale
3.Sampling methods
4.Descriptive statistics, central tendency measures
5.Descriptive statistics, dispersion measures
6.Hypothesis tests and error types. P and alpha values
7.Categorical data analysis, proportion tests
8.Categorical data analysis, chi-square and Fisher Exact tests
9.Comparing two independent groups (Student-t, MW-U)-1
10.Comparing two independent groups (Student-t, MW-U)-2
11.Comparing two related groups (Paired-t; Wilcoxon RT)-1
12.Comparing two related groups (Paired-t; Wilcoxon RT)-2
13.Comparing three or more independent groups (ANOVA-Tukey, etc.)
14.Comparing three or more independent groups (Kruskall W- MW-U)
15.Comparing three or more dependent groups
16.Regression and correlation
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight (%)
Midterm Examination120
Makeup Examination120
Attending Lectures1430
End Of Term (or Year) Learning ActivitiesQuantityWeight (%)
Final Examination1100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
Workload Calculation
ActivitiesQuantityTime(hours)Total Workload(hours)
Midterm Examination111
Final Examination111
Makeup Examination111
Attending Lectures14342