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Course

Regression analysis, Statistics part 2

This course offers an introduction to the statistical techniques used to determine intervention effects and group effects, while correcting for potential confounding variables. It also offers participants the opportunity to practice these methods using SPSS and/or R.

About UM - Faculties - FHML

Regression analysis, Statistics part 2

Fast facts

  • Code: 0008
  • 3 ECTS
  • instructor Dr. B. Winkens
  • 10 sessions, each consisting of a 2-hour lecture and a 1.5-hour practical
  • minimum of 7 PhD candidates; maximum 60
  • intended for PhD candidates of FHML, M4I and MERLN

  • assessment: analysis assignment

     

  • Apply via: phd-courses.mumc.maastrichtuniversity.nl

Instructor

Dr. B. Winkens
Department of Methodology & Statistics (DEB1) 
Phone: +31 43 388 24 33

Target group

PhD candidates from the Faculty of Health, Medicine and Life Sciences and the interfaculty research institutes with a good command of the material covered in Statistics part 1.

Duration

The course has 10 sessions, each consisting of a 2-hour lecture and a 1.5-hour practical. Participants must devote half a day to self-study between each session.

Method

Participants will follow lectures and can check the theory behind the analysis methods that are discussed using other materials, such as literature, knowledge clips and a syllabus that is provided by the tutor. The material outlined in the lectures will be dealt with more extensively in the computer practical where instructions are provided to perform the analyses with SPSS and R (participants can choose which statistical software they use).

Objective

  • Good statistical knowledge is essential when planning and conducting scientific research. Statistical analysis is also necessary for an accurate interpretation of the research results. This course offers an introduction to the statistical techniques used to determine intervention effects and group effects, while correcting for potential confounding variables. It also offers participants the opportunity to practice these methods using SPSS and/or R.
  • 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.

Course fees

PhD candidates (Promovendi) of FHML, M4I and MERLN: no fee

These courses are free of charge in case you are employed or registered as FHML PhD candidate. 
Others: €500,00 (Prices are subject to change)

Course dates (Max. 60 persons - 45 SPSS)

DateTimeLocation
20-03-202608.30-10.30
10.45-12.00		UNS40 A0.771 (Tongerenzaal)
UNS50 G1.227 (room 3)
27-03-202608.30-10.30 
10.45-12.00		UNS50 K0.480 (Coen Hemkerzaal)
UNS50 G1.201 (room 1)
10-04-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.220 (room 7)
17-04-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.244 (room 6) (please note: room reserved until 10:45)
24-04-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.220 (room 7)
01-05-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.220 (room 7)
08-05-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.201 (room 1)
22-05-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.219 (room 2)
29-05-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.220 (room 7)
05-06-202608.30-10.30 
10.45-12.00		UNS50 K0.470 (Paarse Zaal)
UNS50 G1.244 (room 6)

Although the course is on site, you can also follow the course online (via MS Teams). This will also count as being present. The teacher will provide links for each lecture (and practical session) on the Canvas page of the course (you will get access via the teacher).

Information

PhD Office FHML
Available Monday, Tuesday, Thursday and Friday: 9 am – 5 pm

Phone: +31 43 38 84122
Visiting address: P. Debeyelaan 15, L. van Kleeftoren, 5.N2.030
aioonderwijs@maastrichtuniversity.nl