Statistics and Methodology

2019-2020

Course Objective

In the courses 'Introduction to Biomedical Sciences' and 'Research in
Biomedical Sciences' we laid the emphasis on generating structural
statistical knowledge and skills in statistical reasoning. Statistics
and Methodology is a course that broadens and especially deepens this
knowledge, in which the statistical reasoning, as in the critical
evaluation of methods and techniques, is placed central.
Broadening knowledge will take place in the first part of the course,
with a selection of new techniques like analysis of variance and
(multiple) regression. In-depth elements will include power and
methodological (in-)dependence of data, an introduction of the
philosophical background of classical statistics, and the subjects
systematic review and meta-analysis. Beyond this, the student will skill
him/herself in the analysis and evaluation of (scientific) reasoning.
Many subjects will be illustrated based on publications from the primary
scientific literature. Note: In july 2019 a new examinator will be
appointed for this course. Depending on this examinators choice, this
course does, or does not contain scientific reasoning. This implies that
the last attainment level presented hereunder might, or might not be
kept.

Attainment levels
The student has a command of the attainment levels of RBMS to be able to
quickly grasp new statistical techniques.
The student is able to
• critically analyze the way measurements have come about, and which
consequences this has for their statistical analysis.
• asses whether presented data fulfil the conditions of a certain
statistical analysis
• autonomously conduct the following statistical analyses, interpret the
results and present the data in graphical form: all tests from RBMS,
like t-tests, chi square tests, and furtheron ANOVA (one- and two-way),
correlation- and regression-analysis, GLM and others.
• choose an appropriate test, given an experimental design that is
addressed in this or former courses
• understand the functioning of power, how a design can be set up to
attain high power, how power is to be secured by choosing appropriate
analyses, and how it may be wrongly estimated when dependency of data is
ignored in the statistical technique used.
• determine the power of some often used simple tests with the aid of
Gpower.
• interpret and asses statistical results as well as the methodology
presented in literature on their quality.
• reconstruct and analyze scientific argumentation.

Course Content

-General Linear models (one way analysis of variance, two way ANOVA,
(multiple) linear regression and combination of regression with ANOVA)
-Systematic review and Meta Analysis
-Theory of argumentation;
-Analyses in SPSS (or possibly JASP) and Gpower
-Analysis and review of articles

Teaching Methods

At least 11*2 hours lecture, of which some may be Q&A-lectures.
16*2 hours of work shops. About half of those will consist of intensely
supervised work on your own laptop using SPSS and Gpower: an integration
of workshop and computer practical. (We would like to keep the
possibility to change to JASP instead using SPSS.) For this integrated
work format extra extensively supervised time is scheduled at the end of
the first part of the course.
Assignments: For the peer review report a 20 minute feedback from a
teacher or assistant is offered.

Method of Assessment

Written, computer based, open questions examination, in which SPSS
assignments are integrated (75%). The examination will be administered
in two parts; after about a month, and at the end of the course.
Peer review report assignment (group assignment) (25%)
A caesura of 5.5 is applied for both the examination and the assignment.
For both parts one resit is possible.

Entry Requirements

To be admitted to this course, the course Research in the Biomedical
Sciences must be fulfilled with its appraisal requirements, meaning an
overall grade of 6 and over.

Literature

- Baldi, B & Moore, D.S. 2009. The Practice of Statistics in the Life
Sciences, including extra material on the website of the book. (Note:
this is the same book as used in IBMS and RBMS. The fourth edition is
advised, in the meantime the first edition has become inadequate.)
The lecturers are in search of an alternative book alongside Baldi &
Moore. When it is chosen, this will be communicated well in advance.
A range of articles, to be announced during the course. Their URL’s will
be published on canvas most of the time.

Target Audience

The course is compulsory for second year students of biomedical
sciences.

Additional Information

lecturers:
Examiner (vacancy) and dr. S. van der Sluis and a few ad hoc lecturers.
Workshops are in most cases supervised by PhD's and (junior) lecturers.

General Information

Course Code AB_1201
Credits 6 EC
Period P4
Course Level 300
Language of Tuition English
Faculty Faculty of Science
Course Coordinator H.R. Zoomer
Examiner
Teaching Staff H.R. Zoomer

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Study Group, Computer lab
Target audiences

This course is also available as: