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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
ADVANCED BIOSTATISTICAL APPLICATIONS ECZ494 - 2 + 0 2

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED2
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Decide on appropriate basic statistical analysis,
2) Performs calculations and analysis by himself,
3) Comment the results,
4) Comprehends statistical analyzes in the literature in their field,
5) Have sufficient theoretical and practical basis for more advanced statistics courses.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONTo 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
WEEKTOPICS
1st Week Basic statistical concepts; statistics, biostatistics, usage areas of biostatistics, society, sample, statistics, parameters, data, variables, scale types, etc.
2nd Week Introduction to statistical packages
3rd Week Classification of data, frequency table generation, etc.
4th Week Data collection, data collection methods, surveys, etc.
5th Week data entry application
6th Week Central tendency and distribution measures; mean, mode, median, standard deviation, variance, standard error, etc.
7th Week Midterm
8th Week Calculation of central tendency and dispersion measures.
9th Week Tables and graphics; table types, chart types, etc.
10th Week Creating tables, drawing graphs, etc.
11th Week Single sample t test, independent samples t test, paired t test.
12th Week Mann-Whitney U test, Wilcoxon T test.
13th Week Chi-square independence analysis; Pearson chi-square, Yates chi-square, Fisher exact chi-square tests.
14th Week One-way ANOVA, Kruskal Wallis H test.
RECOMENDED OR REQUIRED READING1. 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 METHODSLecture,Discussion,Problem Solving
ASSESSMENT METHODS AND CRITERIA
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam111
Preparation for Quiz000
Individual or group work14114
Preparation for Final exam11010
Course hours14228
Preparation for Midterm exam155
Laboratory (including preparation)000
Final exam122
Homework000
Total Workload60
Total Workload / 302
ECTS Credits of the Course2
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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