The total number of credits to be taken in the course of the semester is at least 24 credits. In addition, if appropriate, students might be required to take courses from other departments by the department
The language of education is both Turkish and English and the programme which will be carried out is a Master’s Degree Programme with thesis. Graduates who want to apply for the program must be graduated from the relevant departments of faculties and they must have at least 70 points in the type of the applicant’s department from the Entrance Exam of Academic Personnel and Graduate Education (ALES), which conducted by Student Selection and Placement Center (SSPC). The candidate must have the score of 50 points from YDS (Foreign Language Exam) or KPDS (Foreign Language Proficiency Examination for State Employees) or language exam of the Eastern University. In case of not submitting language proficiency report during the application, it should be submitted 1 year after provisional acceptance.
If necessary, grade-point average and interview report may be evaluated during the acceptance of Master’s Degree Programme, as well. The matters relating to this assessment and other documents such as a reference letter and a composition explaining why the candidate desires to study in the field are required to be submitted.
|BIS501||Basic Biostatistics and SPSS – I||C||3||0||3||3|
|BIS504||Data Analysis and Statistical
|BIS507||Technical and Scientific Research –
Applications of SPSS -I
|BIS502||Basic Biostatistics and Application of SPSS – II||C||2||1||3||3|
|BIS505*||Research Methods in Health Sciences – I||C||2||2||3||3|
|BIS506**||Research Methods in Health Sciences – II||C||2||2||3||3|
|BIS508||Technical and Scientific Research – Application of SPSS II||C||2||2||3||3|
C: Compulsory; S: Selective; T: Theoretical; P: Practical; C: Credit;
ECTS:European Credit Transfer and Accumulation System
BIS 505 * : BIS 501 is needed to be taken in order to take this course
BIS 506 ** : BIS 505 is needed to be taken in order to take this course
Basic research methods, Multiple Correlation and Regression Analysis, Multivariate Statistical Methods.
Research planning, sources of error in the research, sampling, research types and sorting, data analysis, interpretation and report writing.
Made in the field of medicine and health sciences prospective, retrospective, cross-sectional and formative clinical, laboratory and field teaching of advanced data analysis methods used in the research.
Research planning, research topic selection, screening of resources, scientific writing critical, determining research objectives, identifying the research community and, for example; identification of data summarizing techniques, research project preparation, trial and principles applied research, scientific writing spelling rules.
The methods used in their lifetime, and examined the factors affecting them, introduction to survival analysis, the failure time, the life table techniques, nonparametric survival analysis, multivariate survival analysis (Cox regression).
Giving the students identify where and how to use these special terms and words used in the statistical analysis in the health field. Recognition of health, demographic statistics (birth-death-migration), population pyramids, population estimation methods, life table methods, morbidity statistics, the standardization of rates and ratios, international classification of diseases, measures indicating the health status, health records, basic research methods in health, risk measures.
Basic biostatistical concepts, Descriptive statistics, Tables and graphs for one and many variables, Theoretical distributions, Sampling, Hypothesis testing, Correlation and Regression, Evaluation of diagnostic tests, Associated with SPSS applications.
Population and definitions of sampling, estimation (prediction), sampling distributions, estimators of (estimators) is focused on properties. Probabilistic and non-probabilistic sampling methods are introduced. Simple random sampling, systematic sampling, stratified random sampling, single and multi-stage cluster sampling, probability proportional to size sampling, field sampling, snowball sampling method on a detailed and practical examples and discusses the comparative discussed. Lecture of the responsible faculty member in the first week of classes, seminars and practices carried out in the coming weeks as a student. Students, each sampling method described with the sample will attract a certain audience, will derive estimates and sample sizes need to be heard and given the assignment period will compare the error. End of the semester, each student presents the assignment, which was prepared and is open to the whole class discussion.
Introduction to statistical package program, various applications software package explaining the advantages and disadvantages of the most widely used software package of SPSS program in the field, introduction, and implementation of field is used. SPSS menus promote learning, learning SPSS data entry of data sets and tables, learning SPSS graphic drawings, descriptive statistics in the calculation of learning data sets and application of analytical statistics.
Research planning, research topic selection, screening of resources, scientific writing critical, determining research objectives, identifying the research community and, for example, identification of data summarizing techniques, research project preparation, trial and principles applied research, scientific writing spelling rules.
Sets, Venn diagrams, permutations, combinations, random variables, probability density function, distribution function, conditional probability, independent and dependent events, Bayes’ theorem and its applications, expected values and moments concepts, important distributions.
Matrix addition, subtraction and multiplication, determinant of the matrix, inverting, eigenvalues and eigenvectors computation of minors, cofactors, and adjoin matrix, orthogonal matrix, the separation matrix into pieces and learn linear equations prompt and software packages will be able to implement matrix operations with the help of.
Giving the students the medical term used for statistical analysis.
After completing the course the student is doing original research with special expertise in a matter of scientific method it is expected to make the report.
of statistical methods to the study together with a variety of software packages