2018 - Basic methods and reasoning in Biostatistics September
- Start date:
- 10 September 2018
- 5 days
- Intended Audience:
- Rsearcher, PhD, Student
THIS COURSE IS FULLY BOOKED.
The LUMC course ‘Basic Methods and Reasoning in Biostatistics’ covers the fundamental toolbox of biostatistical methods plus a solid methodological basis to properly interpret statistical results. The course is a mandatory part of the LUMC Graduate School Program and a prerequisite for any of the advanced biostatistical courses offered by the LUMC.
The course is given during a single week, followed by a final examination on the next Tuesday.
In this course we will cover the basics of biostatistics and participants will learn how to analyze practical problems in medical research using statistical software. Subjects covered are among others: descriptive statistics, principles of statistical estimation and testing, cross tabulation and chi-square test, Student t-test and the correspondence with non-parametric counterparts, simple regression and correlation, introduction to analysis of variance, study design, interpretation of observational data, bias, multiple testing, good statistical practice, sample size calculation, pros and cons of p-values.
week: 10-14 September 2018
exam Tuesday 18 September 2018.
Registration on Monday: 09.00 - 09.30
Every day from 08.45 - 17:00
- At the beginning of each day except Monday, the material of the previous day is discussed during a general question session from 08.45 - 09.30 followed by 2 lectures.
- The material of Friday will be discussed on Monday 17 September from 9-10 in lecture hall J1-83 of the main building
- Every afternoon participants work individually in the electronic learning environment on their own PCs/laptops on their own workplace. For participants who do not have their workplace at the LUMC we booked a separate room where you can work.
- Please note that you have to sign the attendance list every day
Make sure you have either SPSS or R (according to your preference) installed on your computer to work through the exercises. Non-LUMC participants with a non-windows PC (like a Mac) should make sure they obtain and install a (evaluation version of) SPSS or R before the course. You can find an SPSS trial version at https://www.ibm.com/analytics/spss-trials. . R is a free software environment and can be downloaded from the R project website. All LUMC participants should make sure they have access to SPSS or R and should work on their own PCs at any location convenient for them. Contact the ICT department if you need help with the installation.
Secondary school mathematics. No prior knowledge of biostatistics required.
Lectures and e-learning including practical sessions with SPSS or R.
(for reference purposes only; not used during course)
Aviva Petrie & Caroline Sabin,
Medical Statistics at a Glance.
The exam will take place on Tuesday 18 September 2018 in the main building, J1-82.
Coordinators and teachers: Dr. N. van Geloven and Dr. M.D.M. Rodrigues Girondo, dep. of Biomedical Data Sciences
For more information
Please see this introductory video about the course: video
and www.boerhaaveboard.nl (only during the course)
For the time table of the programme, please see the attachments on this page
|10 September 2018|
|11 September 2018|
|12 September 2018|
|13 September 2018|
|14 September 2018|
|18 September 2018|
|09:00||Choose your prefered timeblock|
|Exam 1 (09:00 - 11:15)|
|Exam 2 (11:15 - 13:15)|
|Exam 3 (13:30 - 15:30)|
|Exam 4 (15:45 - 17:45)|
LUMCAlbinusdreef 2, 2333 ZA Leiden
Participation fee for employees LUMC € 150
Participation fee outside LUMC € 950
Bachelor/master students of the Leiden University are free of charge**
**Participation is free of charge for bachelor and master students of the Leiden University but only when you fill in your student email address and your student number.
Please be informed that we can ask you to show your student pass at the registration desk.
Please note that a fee will be charged to LUMC students who do not attend courses or who are too late with cancelling their participation of the course.