Veidlapa Nr. M-3 (8)
Study Course Description
Mathematical Statistics II
Course Code
SL_041
Branch of Science
Clinical medicine
ECTS
6.00
Target Audience
Medicine; Pharmacy
LQF
Level 8
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Māra Grēve
Structure Unit Manager
Andrejs Ivanovs
Structural Unit
Statistics Unit
Contacts
23 Kapselu street, 2nd floor, Riga, statistika@rsu.lv, +371 67060897
About Study Course
Objective
To provide knowledge and skills in the most common statistical data analysis methods used in the field of medicine.
Preliminary Knowledge
Successfully finished course "Mathematical statistics".
Learning Outcomes
Knowledge
1.After successful completion of the study course students will have knowledge about the most frequently used statistical data analysis methods in medical research and accurate form of reporting results.
Skills
1.After successful completion of the study course students will be able to: correctly prepare and enter data in the IBM SPSS; choose appropriate statistical methods for own research data processing; create suitable and comprehensive tables and diagrams; report statistical results according to rules of international scientific publications.
Competences
1.After successful completion of the study course students will be able to: critically evaluate statistical information given in scientific publications, process and report own research data according to rules of international scientific publications and participate in discussions about the statistical significance of results.
Assessment
Individual work
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Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
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|
Students have to read additional materials about the statistical methods used in the chosen field of medicine and the use of them for data processing in scientific publications.
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Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
Active participation in classes, analysis and correct report writing of statistical results of own research data (or an example of data for the planned research design).
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Study Course Theme Plan
FULL-TIME
Part 1
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
The summary of data analysis methods used in statistics. Practical work: preparing data for analysis; basic operations in SPSS; descriptive statistics and visualization for data in different measurement scales.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Practical work: comparing two or more than two groups using parametric and non-parametric methods; analysis of categorical data. Combining descriptive and inferential statistics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Practical work: principles of regression analysis.
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-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Sample size and statistical power. Reporting the results of statistical tests.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Practical work I, statistical analysis of data in the specialty using own research data or an example of the research design used (Survival analysis and Cox Regression/Questionnaires and scales/Regression analysis/Meta-analysis/Factor analysis/Cluster analysis).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Practical work II, statistical analysis of data in the specialty using own research data or an example of the research design used (Survival analysis and Cox Regression/Questionnaires and scales/Regression analysis/Meta-analysis/Factor analysis/Cluster analysis).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Practical work III, statistical analysis of data in the specialty using own research data or an example of the research design used (Survival analysis and Cox Regression/Questionnaires and scales/Regression analysis/Meta-analysis/Factor analysis/Cluster analysis).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
4
|
Topics
|
Practical work IV, statistical analysis of data in the specialty using own research data or an example of the research design used (Survival analysis and Cox Regression/Questionnaires and scales/Regression analysis/Meta-analysis/Factor analysis/Cluster analysis).
|
Total ECTS (Creditpoints):
6.00
Contact hours:
32 Academic Hours
Final Examination:
Test
Bibliography
Required Reading
1.
Petrie A. & Sabin C. Medical Statistics at a Glance, 4th edition, Wiley-Blackwell, 2019. ISBN: 978-1-119-16781-5
2.
Greenhalgh T. How to Read a Paper: The Basics of Evidence-Based Medicine, 5th edition, BMJ Books, 2014. ISBN-13: 978-1118800966
3.
Riffenburgh R. H. Statistics in Medicine, 3rd edition, Academic Press, 2012. ISBN-13: 978-0123848642