Biostatistics
2020/2021, 2nd semester

obligatory course

COURSE DATA

Course Title: Biostatistics

LECTURE: 1 hour per week; Monday 1 pm - 2 pm online YouTube-stream
  • Credits: 3
  • Course code: GYTKKAM541
  • Assessment: end-semester exam
PRACTICE: 2 hours per week - MS Teams channels;  in case of turn to contact education in the classrooms of the Small Education Building
  • Credits: 0
  • Course code: GYTKKAM542
  • Assessment: signature

AIM OF THE COURSE

The course aims to provide basic practical knowledge of biostatistics, the use, and interpretation of the most frequently used basic biostatistical methods used in pharmaceutical research with the use of statistical software. With a conceptual understanding of data and data collection, we introduce techniques of data processing, representation, and interpretation. We cover topics of trend analysis, use of hypotheses, frequently used statistical tests, and their applications. Students will be able to state hypotheses according to the given experimental design, formulate the database, characterize the distribution of variables according to their type. Students will know the methods of the most often used hypothesis tests, they will be able to find the appropriate methods to test their hypotheses, and interpreting the results of computer programs and/or scientific papers. They will be able to decide when to ask for the help of a statistician.

REQUIREMENTS FOR THE SUCCESSFUL COMPLETION OF THE COURSE

PRACTICE
Attendance of the practice is obligatory. Participating in the practical sessions under the “Study Guide of the Faculty of Pharmacy”. Maximum 3 absences are allowed.

Forms of testing:
The students have to perform two tests this is a maximum of 100 points. Both tests contain two parts:

• theoretical test (5% - 5%)
• practical test (45% - 45%)

  All the quizzes and tests will be CooSpace-tests.
Make-up possibilities:

• Everybody is obligated to attend those practices in which are registered in Neptun. Practices are not replaceable.
• Makeup or retake one of the tests is possible in the last week of the semester. The new points overwrite the previous test-result.

Practical signature:
The practical mark is calculated based on the given practical points during the semester, according to the following table:
Accomplishment (%)    Practice evaluation

• 0-50,99 %    not met requirements (NOMETRE)
• 51-100 %     met requirements (signature)

LECTURE
Requirements for the successful completion of the course:
Students who fail to meet the requirements of practice (no signature) cannot take the examination.
The end-semester exam will be evaluated by a five-grade system. The result of the end-semester exam consists of two parts:

• converted point of the practical lessons
• points of the end-semester exam.

Conversion of the points of practical to points of exam
Practical points  Exam points

• 0-50            Students who fail to meet the requirements of practice, cannot take the final exam.
• 51-54,99      5
• 55-64,99      6
• 65-74,99      7
• 75-84,99      8
• 85-94,99      9
• 95- 100       10

End semester exam  - Coospace test
Students take a computer-aided (CooSpace) multiple-choice test examination at the end of the semester based on the topics of theory and practice.
Students have to sign up for the examination through the Neptun system. Repetition of examinations is according to the general regulations of the Study and the Examination Requirements of the University.

At the examination, a maximum of 20 points can be achieved.
Points achieved on the exam-test (points)

• 0-9        Unsuccessful exam, the result is failed (1)
• 10-20    Successful exam

Exam mark
When both parts are completed, the points will be added and the final exam marks are calculated according to the following table:
Summary points    Mark

• 0  -14.99    failed (1)
• 15-18.99    passed (2)
• 19-22.99    accepted (3)
• 23-26.99    good (4)
• 27-             very good (5)

 TOPICS

1. Data description. Types of data, displaying data. Sample characteristics. (categorical and continuous variables, absolute and relative frequency, bar chart, pie chart, histogram; mean, median, mode, range, quartiles, variance, standard deviation, mean-error chart, box diagram). Population, statistical sample.
2. The basics of probability theory I. The concept of probability, rules of probability calculus.  Probability and odds. Statistical estimation, confidence interval. Odds ratio and 95% confidence interval.
3. The basics of probability theory II. Conditional probability, 2x2 tables, diagnostic tests, measures of accuracy. The distribution of categorical variables, expected value, and variance.
4. Notable distributions: the binomial distribution. Continuous distributions: the normal distribution. Standardization, the formula of the binomial test as a special case of standardization.
5. The central limit theorem, the standard error of the mean. The confidence interval for the population mean. The use of Student’s t-table.
6. Statistical inference, one-sample t-test. Significance test by a confidence interval, t-statistics, or p-value. The binomial test.
7. T-tests (one-sample, paired, Student and Welch two-sample t-test )
8. Statistical errors, one-and two-tailed tests, analysis of variance (principle of one-way ANOVA, F-test, pairwise comparisons).
9. Correlation-regression analysis. Hypothesis tests for the coefficient of correlation and regression. Regression using transformations.
10. The chi-squared test for independence (assumptions, Fisher exact test)
11. Nonparametric methods based on ranks (Wilcoxon-test, Mann-Whitney test, Kruskal-Wallis test, rank correlation)
12. 2 by 2 tables in epidemiology (measuring agreement using Cohen-Kappa, relative risk, odds ratio)
13. Survival analysis: life tables, Kaplan-Meier method.

OBLIGATORY TEXTBOOKS

1. Students can download course material (handouts, lecture notes from the Coospace

SUGGESTED TEXTBOOKS

1. Michael J. Campell – David Machin – Stephen J. Walters: Medical Statistics. A Textbook for the Health Sciences (2012) ISBN: 978-1-118-30061-9
2. Internet resources: Khan Academy: https://www.khanacademy.org/math/statistics-probability
3. Crash Course (Statistics): https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr Rice Virtual Lab in Statistics: http://onlinestatbook.com/rvls.html
4. Reiczigel Jenő – Harnos Andrea – Solymosi Norbert: Biostatisztika nem statisztikusoknak (2014). Pars Kft. ISBN: 978-963-06-3736-7 (In Hungarian)
5. E-learning (in Hungarian): http://eta.bibl.u-szeged.hu/view/creators/Sz==0171cs=3AM=F3nika=3A=3A.html

Informatics (GYTKKAM031)

Faculty of Pharmacy, 2019/2020
1st semester

COURSE INFORMATION

Practice: 2 lessons per week
Course code: GYTKKAM031
Form of examination: evaluation
Year/semester: 1st year, 1st semester
Credits: 2

COURSE DESCRIPTION

The aim of the Informatics course is to educate students for the use of modern information technologies for effective work in life sciences. The students will acquire practical knowledge and basic skills required in biomedical data processing, document management, presentation and in various areas of computer communication.

Syllabus

1. General information, hardware and software environment of the practice, CooSpace
2. Introduction to spreadsheets using MS Excel (importing, data validation, autofill, references)
3. Evaluation of medical data with spreadsheets (calculations, functions, basic statistics, real mathematical functions)
4. Evaluation of medical data with spreadsheets (conditional and logical functions, text data, lookups)
5. Evaluation of medical data with spreadsheets (sorting, filtering, large databases)
6. Evaluation and presentation of medical data with spreadsheets (charts, linear regression, pivot table)
7. 1st practical test
8. Medical data on the web. Creating online surveys and forms
9. Creating a scientific presentation (PowerPoint, Prezi, Mentimeter)
10. Documents, formatting large documents (styles, table of contents, figures and captions, list of figures)
11. Advanced document editing (header, footer, footnote, endnote, cross reference, references)
12. 2nd practical test
13. Conclusion remarks, discussion of practical marks, retake

All handouts for the practicals will be available on the CooSpace scene.

REQUIREMENTS FOR THE SUCCESSFUL COMPLETION OF THE COURSE

a./ Interim evaluation: during the semester student have to pass two practical tests (each maximum 100 points). Bonus points with a maximum 10 points can be awarded by the practical teacher for individual work.

b./ Requirement for the completion of the course: Participation in the practices. Passing both practical tests.

Retake is possible at the end of the semester on the last practice.
Grades of the course are determined as follows:
  •     0–100 points: failed (1)
  • 101–125 points: passed (2)
  • 126–150 points: accepted (3)
  • 151–175 points: good (4)
  • 176–200 points: excellent (5)

Informatics (GYTKKA031)

Faculty of Pharmacy, 2018/2019
1st semester

COURSE INFORMATION

Practice: 2 lessons per week
Course code: GYTKKAM031
Form of examination: evaluation
Year/semester: 1st year, 1st semester
Credits: 2

COURSE DESCRIPTION

The aim of the Informatics course is to educate students for the use of modern information technologies for effective research work in life sciences; the theoretical and practical bases of computer-aided data analyses, presentations, preparation of paper- and electronic-based documents.

Syllabus
1. Hardware and software environment of the practice (operating system, login, rights, options). Using ETR CooSpace. Syllabus and requirements.
2. Creating medical data with spreadsheets (importing, data validation, autofill)
3. Examination of data with spreadsheets (references, data types, calculations, mixture problem, real mathematical functions)
4. Examination of medical data with spreadsheets (real mathematical functions, Excel functions and arguments, summarize a subset of data)
5. Evaluation of health information (logical functions, sorting, filtering, vertical lookup)
6. Health data presentation (tables, charts, linear regression, pivot table)
7. ( 1st practical test )
8. Health information on the Internet
9. Creating scientific presentation, PowerPoint
10. Cloud, cloud applications, cloud storage, Prezi
11. Working with documents, formatting large documents, templates and styles
12. Advanced document editing, table of contents, captions, table of figures, headers, footers, references
13. ( 2nd practical test )
14. Conclusion remarks, discussion of practical marks, retake

All handouts for the practicals will be available on the CooSpace scene.

REQUIREMENTS FOR THE SUCCESSFUL COMPLETION OF THE COURSE

a./ Interim evaluation: during the semester student have to pass two practical tests (each maximum 100 points). Bonus points with maximum 10 points can be awarded by the practical teacher for individual work.

b./ Requirement for the completion of the course: Participation on the Practice. Passing both practical tests.

Informatics (GYTKKAM031)

Faculty of Pharmacy, 2019/2020
2nd semester

COURSE INFORMATION

Practice: 2 lessons per week
Course code: GYTKKAM031
Form of examination: evaluation
Year/semester: 1st year, 2nd semester
Credits: 2

COURSE DESCRIPTION

The aim of the Informatics course is to educate students for the use of modern information technologies for effective work in life sciences. The students will acquire practical knowledge and basic skills required in biomedical data processing, document management, presentation and in various areas of computer communication.

Syllabus

1. General information, hardware and software environment of the practice, CooSpace
2. Introduction to spreadsheets using MS Excel (importing, data validation, autofill, references)
3. Evaluation of medical data with spreadsheets (calculations, functions, basic statistics, real mathematical functions)
4. Evaluation of medical data with spreadsheets (conditional and logical functions, text data, lookups)
5. Evaluation of medical data with spreadsheets (sorting, filtering, large databases)
6. Evaluation and presentation of medical data with spreadsheets (charts, linear regression, pivot table)
7. 1st practical test
8. Medical data on the web. Creating online surveys and forms
9. Creating a scientific presentation (PowerPoint, Prezi, Mentimeter)
10. Documents, formatting large documents (styles, table of contents, figures and captions, list of figures)
11. Advanced document editing (header, footer, footnote, endnote, cross reference, references)
12. 2nd practical test
13. Conclusion remarks, discussion of practical marks, retake

All handouts for the practicals will be available on the CooSpace scene.

REQUIREMENTS FOR THE SUCCESSFUL COMPLETION OF THE COURSE

a./ Interim evaluation: during the semester student have to pass two practical tests (each maximum 100 points). Bonus points with a maximum 10 points can be awarded by the practical teacher for individual work.

b./ Requirement for the completion of the course: Participation in the practices. Passing both practical tests.

Retake is possible at the end of the semester on the last practice.
Grades of the course are determined as follows:
  •     0–100 points: failed (1)
  • 101–125 points: passed (2)
  • 126–150 points: accepted (3)
  • 151–175 points: good (4)
  • 176–200 points: excellent (5)