Methods for Dummies 2003
Introduction
MfD will run every Wednesday 1-2pm in the FIL boardroom, with the exception
of the 18th & 25th June, when many people will be away at & after HBM.
Below is a list of topics and the people who will be speaking on them.
Remember that the aim is to make apparently (or actually!) complicated
things easier to understand, and that your audience is your peers, not the
experts. The experts are however happy to answer questions to help with the
preparation of your talks. Start with Daniel and Will, and check out the
Human Brain Function chapters on the web at HBF.
Various people have also indicated that it would be helpful if people
highlight in their talks where there are differences between SPM99 and SPM2.
The list of topics, people and provisional dates is below. Dates can be
adjusted later if issues require more coverage, or other things crop up. As
before, if you feel that anything has been left out, let us know!
We look forward to seeing you there!
Timetable
- Intro to matrix & linear algebra (Brigitte Lipschutz) - 28th May
Matrix multiplication, Inverses & rank deficiency, Orthogonality
- Intro to statistics (Sarah White & Sam Gilbert) - 4th June
Normal distribution and mean/sd, Sampling & population inference, This session
covered t (matlab figure) and F (matlab figure)
distributions and examples of inference. The examples were taken from
'Statistical reasoning in psychology and education', 3rd edition, Minium, King & Bear, 1993.
See this technical note
to see how the distributions are derived and how they are related to each other.
- Correlation & regression (David Carmel) - 11th June
Correlation, (simple) regression, covariance, R and R2 & model fit
Check out David's tutorial (Correlation.doc).
Break for HBM
- General linear model (Adam Smith) - 2nd July
Multiple regression, Shared variance, Normal GLM equation, Parameter estimates, Errors & residuals, Basis sets
Check out Adam's slides (GLM.ppt).
- Contrasts and inference (Sarah Blakemore & Fulvia Castelli) - 9th July
contrasts incl. parametric, t-tests/f-tests, factorial designs, interactions, conjunctions, first vs. second level
& number of subjects
Check out Sarah's slides (FI_design.ppt).
- Image preprocessing & optimisation (Elliot Freeman) - 23rd July
Realignment, Slice timing, Normalisation & optimisation
Check out Elliot's slides (MFDtalk01.ppt).
- Spatial smoothing and multiple comparisons correction (Jon Simons) - 30th July
Gaussian field theory vs. Bonferroni & false discovery
See Matthew Brett's smoothing and random field theory tutorials.
Check out Jon's slides (Smooth_talk.ppt).
- Nonparametric methods (Iris Trinkler) - 6th August
What is a nonparametric test ? SnPM
Check out Iris's slides: (talk.doc), (overheads.doc), (figures.doc).
- Bayesian inference for beginners (Lucy Lee) - 13th August
See these probability theory pages for a start.
Here are Lucy's powerpoint slides.
- Contrasts and basis functions (Penny Lewis) - 1st October
Here are the powerpoint slides.
- Classical statistical language to SPM language translation course (Tania Singer & Pia Rothstein) - 7th October
Here are the powerpoint slides.
See also this technical note.
- Linear hierarchical models (Klaas Stephan) - 22 Oct
Covariance constraints, ReML, Hierarchical models. There are no overheads for this talk.
- Covariance components, autocorrelation and nonsphericity (Alexa Morcom) - 29 Oct
Here are Alexa's powerpoint slides.
- Introduction to functional integration & connectivity analysis (Christian, Evelyn) - 5 Nov
Here are Christian and Evelyn's powerpoint slides.
- Dynamic Causal Modelling (Raffael Kalisch) - 12 Nov
Here are Raffael's powerpoint slides.
- Dynamic Causal Modelling - the (un)practical side (Katya Wiech) - 19 Nov
Here are Katya's powerpoint slides.
- Optimising design & efficiency (Paul Bentley & Joel Winston) - 26 Nov
Here are Joel's powerpoint slides.
Here are Paul's powerpoint slides.
