Medical statistics with R

Medical Statistics with R
In this course an introduction to basic statistical methods useful for biomedical data analysis will be given. Concepts are taught in an intuitive manner, alternating between short lectures and practicals. This allows for plenty of interaction and illustration with examples of practical interest. Participants who aim to use more complex methods can use the concepts and skills learned during the course as basis, as the vast majority of statistical methods are implemented in R.

Program

• Exploratory data analysis
• Basic tests: t-test, Wilcoxon test; paired versions; ANOVA (F-test), Kruskal-Wallis
• Power and sample size determination
• Methods for count data: Tests for 2x2 tables and nx2 tables; Relative risk, odds ratio
• Regression models: Linear and logistic regression
• Logistic regression: also show the Analysis of Deviance table
• Survival data analysis

Prerequisites

Participants must be able to work with
and R packages to follow the course. Those with little or no experience in R must follow an introductory R course prior to following this course. Two suggestions are the

given by our group, and the “Using R for data analysis” course organized by the
given regularly at the LUMC.
In addition, it is strongly advised to learn to work with
and
. Those with no prior knowledge of RMarkdown can follow the tutorials
. During the course we will practice further, and the RMarkdown
may be useful.
Participants must bring their own laptops capable of running
and
. Please install R (from the Comprehensive R Archive Network-CRAN, for example from this
) and download and install RStudio before the course. Participants should also install the R package
prior to the course.

Who should attend

Researchers who need to run their own statistical analyses, and want to do it in a transparent and reproducible manner. While most participants tend to be PhD students and postdocs, more senior researchers can also benefit from the course.

Course lecturers

Renee X. de Menezes
Renaud Tissier
Leyla Azarang

Course duration

5 days, 09.00 - 16.30 hrs

Course costs

Free: NKI or AVL researchers
€ 250.00 (PhD Students, excl. 21% BTW)
€ 350.00 (other researchers, postdocs etc., excl. 21% BTW)
€ 700.00 (Non-academic participants, excl. 21% BTW)
R
emarks
As we can accept a limited number of participants, we suggest those interested to register as soon as possible to guarantee a place. 
NKI participants can register via the Learning Portal. Other participants should send an e-mail to
to register. 
Note that registration for this course is independent of registration for other courses, such as “Introduction to R”. Participants with little work knowledge of R must therefore register for that course separately.

ECTs

Participants who have a minimum of 60% attendance and successfully complete the final assignment earn 1.5 ECTs.
No medical accreditation possible.

Course data in 2024

:

Introduction to R - Schedule June 2024

Monday June 3 - room Z4
Tuesday June 4 - room Z4
Thursday June 6 - room Z4
Friday June 7 - room Z4
From 9.00 - 16.30 hrs

Medical Statistics in R - Schedule June 2024

Wednesday June 19 - room Z4
Thursday June 20 - room Z4
Friday June 21 - room Z4 
MondayJune 24 - room Z4
Tuesday June 25 - room Z4
From 9.00 - 16.30 hrs

Registration

For NKI and AVL: You can subscribe for these courses in "

"of the AVL Academy

For AUMC participants or others: please send an email to

. The OOA will not pay for the course. We will send an invoice before the course starts. 

Cancellation

If you have registered and you cannot attend, please unsubscribe in the Leerportaal (NKI and AVL) and in case of AUMC, send an email to
 
as soon as possible so that we can cancel your registration. Note that there is a no-show fee for those who cancel within less than 2 weeks prior to the starting date.

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