152022-11-23 10:12:26PeterWatson142022-11-16 12:33:04PeterWatson132022-11-10 08:52:33PeterWatson122022-11-02 09:42:22PeterWatson112022-10-26 10:26:39PeterWatson102022-10-26 08:04:08PeterWatson92022-10-20 08:04:15PeterWatson82022-10-13 07:55:48PeterWatson72022-10-06 08:58:00PeterWatson62022-09-30 10:18:59PeterWatson52022-09-30 10:12:56PeterWatson42022-09-30 10:12:42PeterWatson32022-08-11 09:34:50PeterWatson22022-07-20 07:34:45PeterWatson12022-07-20 07:33:43PeterWatson

Level This is a course planned with the needs in mind of a graduate student starting as a PhD student at the MRC Cognition and Brain Sciences and related institutions. It will in addition be open to others e.g. research assistants, junior scientists, visitors. Style The presentation will be as fairly formal lectures, each aiming to outline a particular class of methods to give examples of it being applied to realistic situations to indicate how to implement it using software available at CBU Location All Lectures will take place on Thursdays from 11 am till 12 noon in the lecture theatre at the MRC Cognition and Brain Sciences Unit and are being given by PeterWatson who will welcome any feedback. Links to updated PowerPoint and PDF files of the lecture notes are being added during the progress of the course and may be downloaded to your desktop. A synopsis of the lectures is here. Lecture notes from last year's course are available here. Zoom links featuring recordings from these talks in 2021 are here. Talk slides and demo files will be added below as we go through the course. Date Topic 06-Oct-22 Exploratory Data Analysis 13-Oct-22 Simple and multiple linear regression 20-Oct-22 The General Linear Model and complex designs including Analysis of Covariance 27-Oct-22 Categorical Data Analysis 03-Nov-22 ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies 10-Nov-22 Repeated Measures and Mixed Model ANOVA 17-Nov-22 Post-hoc tests, multiple comparisons, contrasts and handling interactions 24-Nov-22 Power analysis 01-Dec-22 Latent variable models: factor analysis and all that