The Neuroimaging Data Model Linear Regression Tool (nidm_linreg): PyNIDM Project

The Neuroimaging Data Model (NIDM) is a series of specifications for describing all aspects the neuroimaging data lifecycle from raw to analyses and provenance. NIDM uses community-driven terminologies along with unambiguous dictionaries within Resource Description Framework (RDF) document describe metadata integration query. different studies, using locally defined variable names, can be retrieved by linking them higher-order concepts established ontologies terminologies. Through these capabilities, documents are expected improve reproducibility facilitate discovery reuse. PyNIDM Python toolbox supporting creation, manipulation, querying documents. Using query tools available in PyNIDM, users able interrogate datasets find studies that have collected variables measuring similar phenotypic properties. This, turn, facilitates transformation combination across multiple studies. The focus this manuscript linear regression tool which part works directly on It provides high-level statistical analysis aids researchers gaining more insight into they considering combining studies. This saves valuable time effort while showing potential relationships between variables. operates through command-line interface integrated other (pynidm linear-regression) user opportunity specify interest rich techniques then conduct optional contrast regularization.