Dear all, I am trying to perform a longitudinal statistic by using the LME mass univariate toolbox. I have two groups of subjects (each acquired 3 or 4 times over the follow-up), and I want to test whether atrophy progresses differently over time in these two groups.
I followed the tutorial on the Website, and I used the following design matrix to test the time x group interaction: X=[ones(length (M),1) M M(:,1).*M(:,2)] I first tried to code the categorical variable "group" assigning values 1 and 2 for subjects belonging to group 1 and 2, respectively (as it is suggested also in the tutorial). Then, I tried to re-run the same model by using mean-centered values for "group" (i.e., assigning -1 to subjects of group 1, and 1 to subjects of group 2). When I run the two statistical models, I obtain different results. Therefore, I would like to ask which is the correct way to model the group covariate? Should it be zero-centered or not? How de-meaning is affecting the estimate? Thank you so much for any suggestion Kind regards Paola Rispetta l'ambiente: non stampare questa mail se non ? necessario. Respect the environment: if it's not necessary, don't print this mail. IL TUO 5XMILLE AL SAN RAFFAELE DI MILANO Devolvi il tuo 5 per mille all'Ospedale San Raffaele: perch? al centro della Ricerca ci sei TU. CODICE FISCALE: 07636600962, nel riquadro RICERCA SANITARIA. Non c'? cura, senza ricerca. Non c'? ricerca, senza il tuo 5xmille. Scopri come su http://www.5xmille.org [http://www.5xmille.org/img/731x129.jpg]
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