ADVANCED BIOSTATISTICAL APPLICATIONS

ECZ494

Course Code: ECZ494
Semester: -
Theory+Practice: 2 + 0
ECTS: 2

Course Type

Elective Course

Course Level

Bachelor's Degree

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Decide on appropriate basic statistical analysis,
Performs calculations and analysis by himself,
Comment the results,
Comprehends statistical analyzes in the literature in their field,
Have sufficient theoretical and practical basis for more advanced statistics courses.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

To teach basic statistical concepts and methods, with examples and applications specific to the field of health, to enable students to understand and evaluate the literature in their field statistically.

Course Contents

WEEK	TOPICS
1^st Week	Basic statistical concepts; statistics, biostatistics, usage areas of biostatistics, society, sample, statistics, parameters, data, variables, scale types, etc.
2^nd Week	Introduction to statistical packages
3^rd Week	Classification of data, frequency table generation, etc.
4^th Week	Data collection, data collection methods, surveys, etc.
5^th Week	data entry application
6^th Week	Central tendency and distribution measures; mean, mode, median, standard deviation, variance, standard error, etc.
7^th Week	Midterm
8^th Week	Calculation of central tendency and dispersion measures.
9^th Week	Tables and graphics; table types, chart types, etc.
10^th Week	Creating tables, drawing graphs, etc.
11^th Week	Single sample t test, independent samples t test, paired t test.
12^th Week	Mann-Whitney U test, Wilcoxon T test.
13^th Week	Chi-square independence analysis; Pearson chi-square, Yates chi-square, Fisher exact chi-square tests.
14^th Week	One-way ANOVA, Kruskal Wallis H test.

Recommended or Required Reading

1. Özdamar, K. (2013). SPSS ile Biyoistatistik. Nisan Kitabevi, Eskişehir.
2. Alpar R. (2014). Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK. Detay Yayıncılık, Ankara.
3. Daniel Wayne W. and Chad L. Cross. (2013). Biostatistics: A Foundation for Analysis in the Health Sciences. 10th Edition, New York: John Wiley&Sons.
4. Rosner, B. (2015). Fundamentals of biostatistics. Nelson Education.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Problem Solving

Assessment Methods and Criteria

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	1	1
Preparation for Quiz	0	0	0
Individual or group work	14	1	14
Preparation for Final exam	1	10	10
Course hours	14	2	28
Preparation for Midterm exam	1	5	5
Laboratory (including preparation)	0	0	0
Final exam	1	2	2
Homework	0	0	0
Total Work Load			60
Total Work Load / 30 (h)			2
ECTS Credit of the Course			2

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1
K2
K3
K4
K5
K6
K7
K8
K9
K10
K11
K12
K13
K14
K15
K16