Multimodel inference for biomarker development: an application to schizophrenia
Abstract
In the present study, to improve the predictive performance of a model and its reproducibility when applied to an independent data set, we investigated the use of multimodel inference to predict the probability of having a complex psychiatric disorder. We formed training and test sets using proteomic data (147 peptides from 77 proteins) from two-independent collections of first-onset drug-naive schizophrenia patients and controls. A set of...
Paper Details
Title
Multimodel inference for biomarker development: an application to schizophrenia
Published Date
Feb 11, 2019
Journal
Volume
9
Issue
1
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