NSCPHD1014 Statistical methods for the Biosciences I - SmB I (generic course) - LPhD014
Volume 2013/2014
Content
The course covers basic techniques in
model based frequentist statistics exemplified by real applications
from the biosciences. Topics covered are: Descriptive statistics,
data types, comparison of two samples by parametric and
non-parametric methods, analysis of tables of counts, regression
analysis of categorical data, linear and multilinear regression,
analysis of variance, basic design of experiments, and usage of
random effects. The student is also introduced to practical
techniques for analyzing data in the open source software package R
using the RStudio interface. Recommended prerequisites for the
course is some basic statistics course during the participants
bachelor or master studies.
Learning Outcome
The students are introduced to
statistical models commonly used in the biosciences for univariate
end-points. The statistical methodology is discussed with emphasis
on how models are applied, and the students are trained to do the
statistical analyses using the software package
R.
Literature
'A First Guide to Statistical Computations in R', by Torben Martinussen, Ib Michael Skovgaard, and Helle Sørensen, Biofolia 2012. | |
Course Material | |
R and RStudio is free and open source, and may be downloaded from the internet. |
Teaching and learning methods
Lectures and exercises
including use of computers. In the first half of the day focus will
be on lectures, and in the second half on individual coursework
with exercises. But we will switch between these two modes of
teaching during the entire day. Participants must bring their own
laptops with R and RStudio installed.
Workload
- Category
- Hours
- Lectures
- 20
- Theory exercises
- 80
- Theory exercises
- 25
- Total
- 125
Sign up
Please
register at:
http://www.statlab.math.ku.dk/english/documents/smb1-2014
http://www.statlab.math.ku.dk/english/documents/smb1-2014
Exam
- Credit
- 4,5 ECTS
- Type of assessment
- Continuous assessment
- Exam registration requirements
- The course is graded as passed/failed. To pass the student must either participate in 5 of the 6 course days, or take a small oral examination.
- Marking scale
- passed/not passed
Course information
- Language
- English
- Course code
- NSCPHD1014
- Credit
- 4,5 ECTS
- Level
- Ph.D.
- Duration
- 1 block
- Placement
- Block 4
- Schedule
- C
- Course capacity
- 60
- Continuing and further education
- Price
- Free for PhD students from UCPH SCIENCE. Please contact the course responsible at bomar@life.ku.dk if you are not from UCPH SCIENCE.
- Study board
- Natural Sciences PhD Committee
Contracting departments
- Department of Mathematical Sciences
- The PhD School of SCIENCE
Course responsibles
- Bo Markussen (bomar@math.ku.dk)
Saved on the
30-10-2013