122020-10-15 11:13:26PeterWatson112020-10-08 14:29:22PeterWatson102020-09-17 10:54:12PeterWatson92020-09-16 10:17:14PeterWatson82020-09-16 10:16:51PeterWatson72020-09-16 10:15:17PeterWatson62020-09-16 10:13:47PeterWatson52020-09-16 10:13:08PeterWatson42020-09-01 13:58:29PeterWatson32020-09-01 13:46:20PeterWatson22020-09-01 13:45:30PeterWatson12020-09-01 13:44:59PeterWatson

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 zoom on Thursdays from 11 am till 12 noon and are being given by PeterWatson who will welcome any feedback. I will circulate a zoom link on the week of each talk. 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. Talk slides and demo files will be added below as we go through the course. Recordings of the talks are here. Date Topic 08-Oct-20 Exploratory Data Analysis 15-Oct-20 Simple and multiple linear regression 22-Oct-20 The General Linear Model and complex designs including Analysis of Covariance 29-Oct-20 Categorical Data Analysis 05-Nov-20 ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies 12-Nov-20 Repeated Measures and Mixed Model ANOVA 19-Nov-20 Post-hoc tests, multiple comparisons, contrasts and handling interactions 26-Nov-20 Power analysis 03-Dec-20 Latent variable models: factor analysis and all that