• Start date:
  • 25 January 2021
  • Duration:
  • Working as:
  • PhD

The course consists of e-learning modules, online ‘live’ lectures, short videos and online question hours.

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. This is a basic course, which targets a wide audience. The course is planned for a single week (+ preparation in the two weeks before), followed by a final examination on the next Tuesday.

Each day we start with an on-line lecture in Zoom, followed by a question hour for discussing questions on the e-learning. The rest of the day participants work individually through the e-learning.

The lectures cover the 'Reasoning' part of the course. Three lectures are mandatory: Study design, Good statistical practice and Multiple testing. Moreover, we offer two elective lectures: for participants interested on this topic, we offer an advanced elective lecture on modern prediction techniques. Also, since many of the examples during the course stem from clinical research, one elective lecture dedicated to pre-clinical research is offered. The lecture slides as well as additional lecture materials will be made available electronically at the end of the course (check the 'lectures' folder at the Section 'Course material').

In the short videos (about 10 minutes each), several experts discuss further on the 'reasoning' topics such as study design, bias, p-hacking, publication bias, good statistical practice, sample size calculation, pros and cons of p-values. In the e-learning part of the course, we will cover the basic methods of data description and statistical inference (t-test, one-way ANOVA and their non-parametric counterparts, chi-square test, correlation and linear regression, logistic regression, introduction to survival analysis and introduction to repeated measurements). For participants who are new to data analysis, the e-learning offers step-by-step guidance on how to perform these procedures in SPSS. Participants who are used to working with R can do the exercises in R instead of SPSS (note that answer models for R are offered but not step-by-step guidance for R starters). Participants who have already studied the e-learning topics in previous courses can use the e-learning as a refresher and work through the modules more quickly skip exercises if wanted. An online forum is available within the e-learning for posing questions during the full week and during preparation.

You will get access to the e-learning modules by January 25th. You are advised to work through the first 5 modules of the e-learning before the official start of the course on February 8th.

Make sure you have either SPSS or R (according to your preference) installed on your computer to work through the e-learning. 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. Contact the ICT department if you need help with the installation.

Prerequisites

  • Secondary school mathematics. No prior knowledge of biostatistics required.

Preparation

You will get access to the e-learning modules around January 25th. You are advised to work through the first 5 modules of the e-learning before the official start of the course on February 8th.

Teaching environment

  • On-line live lectures, short videos and e-learning including practical sessions with SPSS or R.

Recommended book

  • Aviva Petrie & Caroline Sabin (for reference purposes only; not used during course)
    Medical Statistics at a Glance.
    ISBN 0-632-05075-6

Exam

  • The exam assesses your knowledge of the topics discussed in the course (mostly elearning but also few questions about the short videos)
  • The exam will take place on Tuesday 16 February 2021.
  • You can make the exam from home

For more information

  • Please see this introductory video about the course: video

Program

  25 January - 8 February 2021
  Location: Learning environment
  E-learning module 1-5
   
  Monday 8 February 2021
  Location: ZOOM
09:00 Introduction
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
09:30 Lecture: Study Design
Prof.dr. Suzanne Cannegieter
10:30 Question hour
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
11:00 E-learning module 6 Multiple linear regression
Short videos Study design (videos 1,2,3)
17:00 Finish e-learning and short videos
   
  Tuesday 9 February 2021
  Location: ZOOM
09:30 Lecture: Good statistical practice
dr. Nan van Geloven
10:30 Question hour
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
11:00 E-learning module 7 Logistic regression
Short videos Causality (videos 4,5,6)
Short video good statistical practice (video 7)
17:00 Finish e-learning and short videos
   
  Wednesday 10 February 2021
  Location: ZOOM
09:30 Lecture: Multiple testing
Prof. Jelle Goeman
10:30 Question hour
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
11:00 E-learningv module 8 Survival Analysis I
Short videos misuse of p-values (videos 8, 9)
17:00 Finish e-learning and short videos
  Thursday 11 February 2021
  Location: ZOOM
09:30 Lecture: Statistics in pre-clinical studies
Dr Mar Rodríguez Girondo
10:30 Question hour
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
11:00 E-learning module 9 Survival Analysis II
Short video Sample Size calculation (video 10)
17:00 Finish e-learning and short video
   
  Friday 12 February 2021
  Location: ZOOM
09:30 Lecture: Predictive analytics
prof.dr. Ewout Steyerberg
10:30 Question hour
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
11:00 E-learning module 10 Repeated Measurements
Short videos on prediction (videos 11 and 12)
17:00 Finish e-learning and short videos
   
  Monday 15 February 2021
10:30 Question hour
Dr. Nan van Geloven and dr. Mar Rodriguez Girondo
11:00 Finish question hour
   
  Tuesday 16 February 2021
09:00 Exam I
11:15 Finish exam I
11:30 Exam II
13:45 Finish exam II
   
  Tuesday 2 March 2021
09:00 Re-exam
prof.dr. S.C. Cannegieter
Hoogleraar Epidemiologie, LUMC
Dr. N. van Geloven
LUMC
prof. dr. J.J. Goeman
Dr. M.D.M. Rodríguez-Girondo
LUMC
E.W. Steyerberg
LUMC
Online
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Participation fee for employees LUMC/PhD Students    €  150,-

Participation fee outside LUMC                                      €  450,-

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 have limited places available for students because this course is mandory for PhD Students. 

Please be informed that we can ask you to show your student pass at online registration.

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.

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