This course provides an introduction in statistical methodology and discusses a number of statistical techniques for practical data analysis.
This course provides an introduction in statistical methodology and discusses a number of statistical techniques for practical data analysis, including T tests, Chi-square tests, analysis of variance (ANOVA), (multiple) linear and logistic regression and survival analysis. You will use concrete examples and case studies to apply the theory to practical situations. The course ends with a group assignment in which you analyse a case study, using the newly acquired statistical techniques.
In each Learning Unit (week), we explain a statistical theme, using short web lectures, alternated with computer exercises. Examples from medical and biological research will be used in the exercises. You will analyse data sets on computers, using the statistical software packages R and/or SPSS. Discussion forums provide a platform to discuss theory and practice exercises with the staff and fellow participants. The Statistics Cafe serves as a virtual meeting place to discuss more general statistical questions, and to talk with your peers about your own research.
Although active statistical knowledge is not a prerequisite, we assume some basic knowledge on statistics and mathematics acquired through, for example, courses in biostatistics in the bachelor programme or self study.
The basic knowledge we assume are:
- the concepts of population and sample
- histogram, boxplot, frequency table, scatterplot
- mean, median
- variance, standard deviation, range, interquartile range, standard error of the mean
- probability, probability distributions (especially the normal distribution)
Max. number of participants
Number of credits
September 30 - December 13 (11 weeks), i.e. 1 LU per week and 2 weeks for LU 10 (collaboration assignment)
After active participation during the whole course (morning and afternoon sessions) participants will receive a certificate.
Course fee internal PhD candidates: €0.
Course fee academic staff UU/UMC: €1400.
Course fee external participants (if space permits): €1550/€1900.
‘Internal PhD candidates’ include:
- PhD candidates registered to the Graduate School of Life Sciences of Utrecht University via Hora Est/MyPhD
‘Academic staff UU/UMC’ include:
- PhD candidates of Utrecht University, not registered to the Graduate School of Life Sciences via Hora Est/MyPhD;
- Postdocs employed by the Utrecht University or UMC Utrecht;
- Other academic staff employed at the UU/UMC
‘External participants' include:
- all other participants
You may cancel your application free of charge up to four weeks before the start of the course. If you cancel your application within four weeks before the start or if you do not meet the attendance requirements of the course, you(r department/research group) will be charged a no-show fee (€700 for this course). Unfortunately we cannot make any exceptions to this policy.