SHUA13011U Statistics and Data Analysis for Human Biologists
Statistics for human biologists. The course participants will be
introduced to the fundamentals of statistical reasoning. They will
learn how to apply appropriate statistical methods for common
laboratory experiments, clinical trials and observational studies.
During the course the student is required to work on a project that
is
to be handed in for evaluation at the last course day.
At the end of the course, the student shall be able to identify
and
execute and report all steps of data management, statistical
analysis
and interpretation of results. This includes
- knowledge: descriptive statistics, p-value, confidence interval, t-test, multiple linear regression, chi-square test, logistic regression
- skills: data management in R, data analysis in R
- competencies: evaluating, implementing and reporting
statistical models
- Category
- Hours
- Class Instruction
- 15
- Lectures
- 15
- Preparation
- 39
- Total
- 69
- Credit
- 2,5 ECTS
- Type of assessment
- OtherCourse attestation on the basis of participation in training activities and project approval.
- Aid
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
One internal examiner
Criteria for exam assesment
To achieve course attestation, the student has to hand in a
project in
which the student sufficiently demonstrates
- knowledge: descriptive statistics, p-value, confidence interval, t-test, multiple linear regression, chi-square test, logistic regression
- skills: data management in R, data analysis in R
- competencies: evaluating, implementing and reporting statistical models
Course information
- Language
- English
- Course code
- SHUA13011U
- Credit
- 2,5 ECTS
- Level
- Full Degree Master
- Duration
- 5 days in 2 weeks
- Placement
- Block 4
- Schedule
- See Syllabus
- Course capacity
- 40 participants
- Study board
- Study board of Human Biology
Contracting department
- Department of Public Health
Course responsibles
- Thomas Alexander Gerds (3-87747a53757c8286877487417e8841777e)
Lecturers
Christian Pipper (cxh739)