Improvement of predictive models of risk of disease progression in chronic hepatitis C by incorporating longitudinal data
Monica A. Konerman, Yiwei Zhang, Ji Zhu, Peter D.R. Higgins, Anna S.F. Lok, Akbar K. Waljee – 12 February 2015 – Existing predictive models of risk of disease progression in chronic hepatitis C have limited accuracy. The aim of this study was to improve upon existing models by applying novel statistical methods that incorporate longitudinal data. Patients in the Hepatitis C Antiviral Long‐term Treatment Against Cirrhosis trial were analyzed.