Biostatystyka 1655-Lek21BIOS-J

At the first class a student will get to know the basic concepts used in statistics: population, sample, variable, qualitative variables, quantitative variables, variable scales (nominal, ordinal, interval), probability, frequency, ratio, proportion, percent. The student will learn the theory of the most important descriptive statistics and will learn to apply them in practice. It will find out what are the most commonly used measures of central tendency and measures of dispersion (respectively: arithmetic mean and median as well as variance, standard deviation and coefficient of variation). At the second tutorial, the student will learn the theory of the sample distribution and the normal distribution and will get to know how to perform statistical analysis of the results obtaining as a result of scientific research. It will learn practical applications of parametric tests and to study the tests assumptions: Kolmogorov-Smirnov test and Shapiro-Wilk test, Student’s t test for dependent and independent samples, Levene’s test and ANOVA along with post hoc analysis. During the last, third class, the student will learn to use nonparametric tests, which are employed when the assumptions of the parametric tests are not met (Wilcoxon test, U Mann-Whitney test, Kruskal-Wallis H test with post hoc analysis). At that tutorial the student will also learn the theory of linear regression and correlation. It will get to know and learn to calculate the Pearson’s and Spearman’s correlation coefficients. The student will also learn graphic presentation of results of linear regression using a spreadsheet and statistical program.

Całkowity nakład pracy studenta

1. The workload associated with activities requiring direct participation of academic teachers is: - participation in tutorials: 10 hours - course credit: 2.5 hours The workload associated with classes requiring direct participation of academic teachers is 12.5 hours, which corresponds to 0.5 ECTS points. 2. Balance of student workload: - participation in tutorials: 10 hours - preparation for tutorials: 5 hours - writing tutorial reports: 3 hours - reading the indicated literature: 2 hours - preparation for the course credit and participation in the final test: 5 hours. The total student workload is 25 hours, which corresponds to 1.0 ECTS point 3. Workload related to scientific research: - reading of the indicated scientific literature: 1 hour - research and scientific consultations: 1 hour - participation in tutorials covered by scientific activity (including methods in scientific research, results of the research, articles): 10 hours - preparation for tutorials covered by scientific activity: 1 hour - preparation to pass in the area of research and scientific aspects for the given subject: 2 hours - writing reports on tutorials covered by scientific activity: 5 hours The total amount of student work associated with the research being conducted is 20 hours, which corresponds to 0.8 ECTS points 4. Time required for the preparation and participation in the evaluation process: - preparation for examination and participation in the final test: 5 hours - reading the indicated literature: 2 hours The total amount of student work associated with the preparation for participation in the evaluation process is 7 hours, which corresponds to 0.28 ECTS point 5. Balance of student workload of a practical nature: - participation in tutorials: 10 hours The total student workload of a practical nature is 10 hours, which corresponds to 0.4 ECTS points 6. Time required for compulsory practices: not applicable

Efekty uczenia się - wiedza

A student knows and understands: K1: how to use a spreadsheet and statistical program to perform a statistical analysis of results obtaining in scientific research and knows how to present such results graphically (B.W26). K2: methods of statistical analysis employed to biomedical sciences (B.W27).

Efekty uczenia się - umiejętności

A student is able to: S1: make statistical analysis of results obtaining in scientific research in the field of medicine and related sciences selecting appropriate statistical tests, calculating required statistics and performing statistical inference (B.U11). S2: use techniques of graphic presentation of the results (B.U11).

Efekty uczenia się - kompetencje społeczne

A student demonstrates: C1: the need for continuous and independent expansion of its knowledge (K_K07).

Metody dydaktyczne

Tutorials: expository teaching methods – explanation, problem-based teaching methods – problem method, didactic discussion, practical teaching methods – practical exercises, demonstration.

Metody dydaktyczne eksponujące

- pokaz

Metody dydaktyczne podające

- wykład konwersatoryjny
- opis
- wykład problemowy

Metody dydaktyczne poszukujące

- ćwiczeniowa
- klasyczna metoda problemowa

Wymagania wstępne

Student beginning the course “Biostatistics” should possess basic knowledge in the field of mathematics, informatics and biology.

Koordynatorzy przedmiotu

Paweł Sutkowy

Kryteria oceniania

1. Oral or written test (evaluation of active participation and preparation for the classes): K1, K2, S1, S2, C1.
In order to pass the student must get a minimum of 60% of the points from the answer.

Assessment criteria:
- credit in the case when: the student knows the basic issues and has mastered the program minimum, understands the questions asked, presents his knowledge in a logical and systematic way, can practically apply the acquired knowledge;
- failure to pass if: the student has not mastered the program minimum, does not understand the questions, provides answers not on the subject, does not properly use the basic vocabulary, cannot practically apply the acquired knowledge.

2. Focused observation of the student’s activity while performing practical tasks: K1, K2, S1, S2, C1.
In order to pass the student must get a minimum of 60% of points for a properly completed activity.

3. Activity – extended observation: C1.
In order to pass the student must get a minimum of 60% the planned social competence

Praktyki zawodowe

Not applicable

Literatura

Basic litarature:
Wayne W. Daniel and Chad W. Cross: Biostatistics: a foundation for analysis in the health sciences. John Wiley & Sons, Ltd., cop. 2009.

Supplementary literature:
1. A. Källén: Understanding biostatistics. John Wiley & Sons, Ltd., cop. 2011.
2. Marc M. Triola, Mario F. Triola: Biostatistics for the biological and health sciences. Pearson/Addison Wesley, cop. 2006.

Więcej informacji

Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb:

Strona przedmiotu 1655-Lek21BIOS-J w USOSweb