 |
 |
Hi Bing, This analysis can be done with randomise. As design, use: EV1: genotype A, without disease EV2: genotype A, with disease EV3: genotype B, without disease EV4: genotype B, with disease Contrasts C1: [1 1 -1 -1]: Effect of genotype A > B C2: [-1 -1 1 1]: Effect of genotype A < B C3: [1 -1 1 -1]: Effect of without > with disease C4: [-1 1 -1 1]: Effect of without < with disease C5: [1 -1 -1 1]: Interaction C6: [-1 1 1 -1]: Interaction All the best, Anderson On 14 May 2017 at 12:13, Bing Yu <[log in to unmask]> wrote: > Dear FSL experts: > > I am now performing a DTI study on the effect of a genotype (A or B) on > the abnormalities of white matter in patients sufferd from a type of > disease using TBSS. > > My DTI data were divided into 4 subgroups （genotype A &no disease, > genotype B &no disease, genotype A & suffer from disease, genotype B & > suffer from disease） > > I hope to calculate the main effect of genotype, main effect of disease > and their interactions on the DTI data after preprocess of TBSS, but > according to the reference reference documentation I have read， two way > ANOVA were not supported by TBSS randomise method，furthermore, due to the > distribution of skeletonised DTI data (not meet Gaussian distribution) > ，other parameter analysis method can not be applied either. > > What kind of statistical analysis should I do to calculate the main effect > of genotype, main effect of disease and their interactions? > > I would be really happy if you have any suggestion. > > Best regards, > > Bing Yu >