Multivariate logistic regression models for predicting advanced fibrosis.
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Variables selected by lasso from 33 serum analytes measured by multiplex ELISA and clinical covariates excluding (Model 1) or including (Model 2) the ELF test components (HA, PIIINP and TIMP1) were used to generate multivariate logistic regression models for advanced fibrosis (METAVIR >F2).
创建时间：
2016-11-19
