Introduction to Statistics part 1

Introduction to (medical) (social-scientific) Statistics part 1. This course is taught in English by various tutors from the Department of Methodology & Statistics and is very practical in nature.

Please note (SPSS):

Participants enrolled in Statistics 1 are expected to be familiar with SPSS. Therefore the first two classes are mandatory only for those participants not familiar with the SPSS programme. One must register separately for these classes. We urge participants to contact the local ICT support service to install SPSS.

Target Group

PhD candidates who have not taken statistics or who wish to refresh their knowledge. PhD candidates who are familiar with the material taught in Statistics 1 can begin with Statistics 2. Tutors may be consulted on this matter if necessary. Depending on the participant's prior knowledge, (s)he may follow part of the course instead. To get credits for the course, the participant must attend at least 8 classes.


Dr. Shahab Jolani
Department of Methodology & Statistics (DEB1) 


  • Good statistical knowledge is essential when planning and conducting scientific research. Statistical analysis is also necessary for accurate interpretation of the research results. This course offers an introduction to statistics with regard to scientific, patient-oriented research or other research into human or animal subjects.
  • This knowledge is necessary for analysing the results obtained from the participant's own research. It also helps participants to evaluate the results of other published research and understand the relevance of these results for their own disciplines.


Schedule: 11 classes of two hours each. Participants must devote one day to self-study between sessions. Each class will end with a discussion of an analysis assignment which will be reviewed the following week. The assignment review will be led by one of the participants.

Basic textbooks

Participants can choose from several basic textbooks, depending on their dissertation topic.

Schouten, H. (1999)
Klinische statistiek; een praktische inleiding in methodologie en analyse. Houten: Bohn, Stafleu, Van Lochem

Imbos, Tj. Janssen, M.P.E. en Berger, M.P.F. (2001)
Methodologie en statistiek deel 1, Maastricht: Universitaire pers.

Berger, M.P.F., Imbos, Tj. Janssen, M.P.E. (2002)
Methodologie en statistiek deel 2, Maastricht: Universitaire pers.

Altman, D.G. (1992)
Practical statistics for medical research. London: Chapman & Hall.

Rosner, B. (2000)
Fundamentals of biostatistics. Pacific Groves: Duxbury Thomson Learning

Norman, G.R. and Streiner, D.L. (1998)
Biostatistics - The Bare Essentials. Hamilton, London: B.C. Decker Inc.

Slotboom, A. (2001)
Statistiek in woorden - De meest voorkomende technieken. Groningen: Wolters-Nordhoff


Min/Max PhD candidates:
minimum 7, maximum 60 (maximum 30 SPSS)

3 (as long as the participant follows 8 of the 11 classes)



PhD secretary
+31 43 387 28 44 
Tuesday - Thursday 09.00 - 17.00

Course fees
PhD candidates (Promovendi) of FHML, MaCSBIO, M41 and Merln: not applicable.
Others: €500,00.


Dates Time Location
25-01-2022 11.00-13.00 Room 7
28-01-2022 11.00-13.00 Room 7
01-02-2022 11.00-13.00 UNS40 - A0.771
04-02-2022 11.00-13.00 UNS60 - M0.09
08-02-2022 11.00-13.00 UNS40 - A0.771
11-02-2022 11.00-13.00 UNS50 - K0.480
15-02-2022 11.00-13.00 UNS60 - M0.09
18-02-2022 16.00-18.00 UNS50 - K0.406 of online
22-02-2022 11.00-13.00 UNS60 - M0.09
25-02-2022 11.00-13.00 UNS40 - A0.771
04-03-2022 11.00-13.00 UNS40 - A0.771
08-03-2022 11.00-13.00 UNS50 - K0.470
14-03-2022 11.00-13.00 UNS50 - K0.470

Note: we are not yet sure how education will be given in the coming academic year and that the students have to take into account that the dates may change.