Adjust statistical analysis for the updated pipeline and exploration

[sandrinebedard]

Description

This PR includes various modifications of get_subject_info.py and compute_stats.py to address #50 and to add new parameters and results for exploration of the CSA results of the first 1000 subjects.

Main changes include:

• Remove T2w CSA analysis
• Add new parameters
• Adapt exclusion of subject with current exclude.yml format
• Gender- CSA analysis (mean CSA per gender + T-Test +plots)
• Age - CSA analysis (linear regression + quadratic regression)
• Add scatter plots of each parameter and CSA: example :

Linked issue

Closes #50

[jcohenadad]

Gender- CSA analysis (mean CSA per gender + T-Test +plots)

I would call it Sex (which is the biological male/female definition that we are referring to here, while the term "gender" refers to the identity and social construct, see here)

[sandrinebedard]

I also generated the scatterplot sperated for sex so we can see its effect on each parameter for fun 😊:

[jcohenadad]

I also generated the scatterplot sperated for sex so we can see its effect on each parameter for fun 😊:

wow, super interesting!!