Introductory Biostatistics for Researchers (Online) - FULLY BOOKED

This online edition is fully booked. We have an additional live edition of this course in Nov/Dec 2022.

Course description

This course provides an introduction in statistical methodology and discusses a number of statistical techniques for practical data analysis.

Learning objectives

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.

Instructional method

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.

Prerequisite knowledge

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)

Group size

12 to 20 participants

Number of credits

4.5 EC

Course schedule

September 26 - December 9, 2022  (11 weeks). 1 LU (Learning Unit) per week, and LU 10 (for an assignment in small groups) during the last two weeks. Required time investment: approximately 14 hour/Learning Unit.

Course certificate

After active participation during the entire course participants will receive a certificate.

Cancellation and no-show policy

This course is free for GSLS PhD candidates. However: free of charge does not mean free of responsibility. Once you have signed up for a course, we expect you to attend. For every late cancellation or no-show we have had to disappoint others who would have liked to attend. This is our policy:

• You may cancel free of charge up to 4 weeks before the start of the course. After this date you can only cancel if you have a GSLS PhD candidate to replace you in the course. Send the name and contact information of your replacement to pcc@uu.nl, at least 2 working days before the start of the course;
• We expect that you actively attend the full course, but at least 80%. It is mandatory to attend the first session. If you are absent the first session you cannot follow the remaining of the course;
• Not meeting the above requirements means you will be charged a no-show fee (€ 700). We will send the invoice after the course has ended. We are unable to make any exceptions, unless you have a valid reason (i.e., illness or death in the family 1^st/2^nd degree or partner). Your supervisor has to send an e-mail to pcc@uu.nl indicating the reason.

More information and registration

For more information, please visit the website of the UMC Utrecht - Julius Center or e-mail secretariaatbiostatistiek@umcutrecht.nl.

Not a GSLS PhD candidate? You can follow this course via the Julius Center. Please visit the website of the UMC Utrecht - Julius Center or e-mail secretariaatbiostatistiek@umcutrecht.nl for more information and course fees.

Interest list

Is this course fully booked? Or would you like to follow a course at a later moment? When you subscribe to the interest list of a course, you will receive an e-mail when a new edition opens for registration. The interest list is for GSLS PhD candidates only.