Applied statistics in reproductive medicine

Course: BIOLOGY (Master) FULL-TIME

Structural unit: Biology And Medicine Institute Science Educational Center

Title
Applied statistics in reproductive medicine
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
5
Learning outcomes
PR02. Use libraries, information databases, Internet resources to search for the necessary information. PR04. Solve complex problems in the field of biology, generate and evaluate ideas. PR05. Analyze and evaluate the impact of biology on the development of society. PR06. Analyze biological phenomena and processes at the molecular, cellular, organismal, population-species and biosphere levels in terms of basic general scientific knowledge, as well as using special modern research methods. PR07. Describe and analyze the principles of structural and functional organization, mechanisms of regulation and adaptation of organisms to the influence of various factors. PR08. Apply during research knowledge of the peculiarities of the development of modern biological science, the basic methodological principles of scientific research, methodological and methodological tools for conducting research in specialization.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of Bachelor's degree courses. 2. Be able to independently apply knowledge of embryology, biology of post-embryonic development and other disciplines, perform laboratory and practical work, work with scientific and methodological literature. 3. Have basic skills in working with materials and equipment used in medical and biological laboratories of embryological and cytological profile.
Course content
The course is devoted to the peculiarities of the application of methods of statistical analysis of digital results in the field of reproductive biology and reproductive medicine. Methods of descriptive statistics, variation analysis, correlation analysis and other statistical methods most often used in the analysis of digital data in reproductive biology and medicine are systematically described, and practical examples of their application are considered.
Recommended or required reading and other learning resources/tools
1. Dzerzhinsky ME, Varenyuk IM. Textbook for laboratory classes on a large morphometric special workshop for students of the Department of Cytology, Histology and Developmental Biology.– Kyiv: Phytosociocenter, 2006. 2. Golovanova IA, Belikova IV, Lyakhova NO Fundamentals of medical statistics.– Poltava, 2017. 3. Goroshko MP, Miklush SI, Khomyuk PG Biometrics.– Lviv: Kamula, 2004. 4. Guryanov VG, Lyakh YE, Pariy VD, Korotky OV, Chaly OV, Chaly KO, Tsekhmister Ya.V. Handbook of Biostatistics. Analysis of the results of medical research in the package EZR (R-statistics). - Kyiv: News, 2018. 5. Kravchenko AG, Biryukov VS Medical statistics.– Odesa: Astroprint, 2008.
Planned learning activities and teaching methods
Lectures, practical classes, independent work.
Assessment methods and criteria
- semester assessment: 1. Modular control work 1 - PH 1.1; 2.1; 3.1; 4.1 - 20 points / 10 points 2. Modular control work 2 - PH 1.2; 2.1; 3.1; 4.1 - 20 points / 10 points 3. Evaluation of practical work - RN 1.1; 1.2; 2.1; 3.1; 4.1 - 20 points / 10 points - final assessment: in the form of an exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Igor Vareniuk
Department of Cytology, Histology and Reproductive Medicine
Biology And Medicine Institute Science Educational Center

Departments

The following departments are involved in teaching the above discipline

Department of Cytology, Histology and Reproductive Medicine
Biology And Medicine Institute Science Educational Center