Main Study Course Information

Course Code

ROT_010

Branch of Science

Mathematics; Theory of probability and mathematical statistics

ECTS

1.00

Target Audience

Medicine

LQF

Level 8

Study Course Implementer

Course Supervisor

Gundega Jākobsone

Residency Speciality

Speciality

Orthodontist

Supervisor of Medical Speciality

Gundega Jākobsone

Contacts

-

About Study Course

Objective

To teach about the design and interpretation of epidemiological studies and the statistical methods. This course is intended to be an intensive introduction to epidemiology and medical statistics and by completion of the course the students are expected to understand the common pitfalls associated with study design, be able to choose the most appropriate analytical methods to verify stated hypotheses and feel confident to undertake basic statistical analysis.

Learning Outcomes

Knowledge

1.Knowledge about acquisition of data, designs of study, types of data and basic statistical methods. Understanding about statistical and clinical significance. Systematic review and meta analysis.

Skills

1.Will be able to recognise the type of data and to choose an appropriate statistical method; Perform simple statistical analysis; To test the hypothesis; To interpret the results of statistical tests.

Competences

1.Will be competent to perform statistical analysis of data using simple statistical methods.

Assessment

Individual work

Title	% from total grade	Grade
1. Individual work	-	-
To perform statistical tests on the test samples or exercises.

Examination

Title	% from total grade	Grade
1. Examination	-	-
2. Examination	-	-
Summative assessment of work during seminars and practical tasks.

Study Course Theme Plan

FULL-TIME

Part 1

Total ECTS (Creditpoints):

1.00

Number of Residency Seminars:

0

Length (weeks):

1

Final Examination:

Residency exam (Theory and practice)

Bibliography

Required Reading

1.

Teibe, U. Bioloģiskā statistika. Rīga: LU Akadēmiskais apgāds, 2007. 156 lpp

Additional Reading

1.

Polychronopoulou A., Pandis N., Eliades T. Appropriateness of reporting statistical results in orthodontics: the dominance of P values over confidence intervals. 2011, Eur J. Orthod; 33:22-5.

2.

Martyn Cobourne. Biostatistics in Orthodontics: Design, Analysis, Reporting and Synthesis of Clinical Studies. 2015, J. Orthod; 42:351.

Statistics in Medicine