Basic Biostatistics (REH501) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Basic Biostatistics REH501 Area Elective 2 2 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level ects.course_level_Sağlık_Bilimleri_Yüksek_Lisans
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
  • After completing the course the students will be able to: decide to proper basic statistical analysis do calculations and analysis individually interpret the findings understand statistical analysis used in the literature of their own study fields criticize statistical analysis used in the literature of their own study fields have sufficient theoretical and practical basis required in advanced statistical courses
Course Content Basic statistical concepts, descriptive statistics, tables and graphs, sampling methods, normal distribution and hypothesis tests, t-test and anavo analysis, correlation and regression analysis.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basic statistical concepts such as: statistics and biostatistics, population, sample, statistic, parameter, data, variable, types of data, and etc. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
2 Descriptive statistics: grouping the data, measures of central tendency, measures of location, histogram, bar graph, stem & leaf graph, box-plot, etc. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
3 Descriptive statistics: measures of dispersion, error bar graph, etc. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
4 Examining the association among the variables by tables and graphics: Cross tables, tables regarding descriptive statistics (mean, s. deviation, etc.), multivariate applications of basic graphics, scatter plots, etc. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
5 Standardization (z and T scores). Theoretical distributions: Normal distribution, and normality transformations. Tests and graphs for normality. Sampling distributions and confidence intervals Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
6 1st Midterm Examination Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
7 Research methods. Introduction to hypothesis tests: Aims and stages of hypothesis tests, possible types of errors, p and alpha values, power, effect size, decision process Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
8 Hypothesis tests: Parametric and nonparametric one sample tests. Parametric and nonmparametric independent two sample tests. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
9 Hypothesis tests: Parametric and nonparametric k independent sample tests. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
10 Hypothesis tests: : Parametric and nonparametric dependent two-sample tests). Parametric and nonparametric k dependent sample tests . Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
11 Measures of association: Pearson correlatin coefficient, Spearman correlation coefficient, Phi, Cramer V, Eta, etc. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
12 Simple and multiple linear regression analysis. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
13 examining an article Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.
14 SPSS Aplication
15 Preparation to final exam Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.

Sources

Course Book 1. Sümbüloglu K ve Sümbüloğlu V. Biyoistatistik. Seçkin Yayıncılık, Ankara, 2010.
2. lpar R. Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK. Detay Yayıncılık, Ankara, 2018.
3. Daniel, Wayne W. Biostatistics 9th Edition, New York: John Wiley&Sons, 2013.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 1 20
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 50
Toplam 3 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Utilizes knowledge from the literature in the field of physiotherapy and rehabilitation systematically, assessing, evaluating, describing, analyzing, and planning for professional and academic work with essential concepts and principles.
2 Plans and implements academic studies using evidence-based literature in physiotherapy and rehabilitation.
3 Collects data according to ethical principles, selects suitable statistical methods, analyzes results, critiques them by comparing with literature, and presents or publishes at national/international scientific meetings.
4 Takes responsibility individually within multidisciplinary or interdisciplinary teams for problem-solving in academic and scientific work and collaborates effectively using communication skills.
5 Identifies learning needs and goals, adopts lifelong learning for personal growth, uses a foreign language and information-communication technology, follows developments in the field, and organizes and supports quality improvement programs.
6 Understands the duties, rights, and responsibilities related to scientific work in physiotherapy, adheres to academic ethics and standards, and maintains professional conduct internationally.
7 Applies evidence-based preventive and rehabilitative approaches aligned with changing and growing community needs in physiotherapy and rehabilitation to contribute to health policy development and raise public awareness.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory
Application 1 10 10
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 14 14
Total Workload 126