The clinical course of cirrhosis: The importance of multistate models and competing risks analysis

EASL–EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma

(2015) et al.   JOURNAL OF HEPATOLOGY

msSurv: AnRPackage for Nonparametric Estimation of Multistate Models

(2015) Nicole Ferguson et al.   Journal of Statistical Software

Competing risks and prognostic stages of cirrhosis: a 25-year inception cohort study of 494 patients

(2014) G. D'Amico et al.   ALIMENTARY PHARMACOLOGY & THERAPEUTICS

Risk for Hepatocellular Carcinoma in Patients With Alcoholic Cirrhosis

(2013) Peter Jepsen et al.   ANNALS OF INTERNAL MEDICINE

Beyond scoring: a modern interpretation of disease progression in chronic liver disease

(2013) Matteo Rosselli et al.   GUT

Competing risks in epidemiology: possibilities and pitfalls

(2012) Per Kragh Andersen et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Hepatocellular Carcinoma: Screening and Staging

(2011) Morris Sherman   Clinics in Liver Disease

Practical methods for competing risks data: A review

(2011) Giorgos Bakoyannis et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Interpretability and importance of functionals in competing risks and multistate models

(2011) Per Kragh Andersen et al.   STATISTICS IN MEDICINE

The mstate package for estimation and prediction in non- and semi-parametric multi-state and competing risks models

(2010) Liesbeth C. de Wreede et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Infections in Patients With Cirrhosis Increase Mortality Four-Fold and Should Be Used in Determining Prognosis

(2010) Vasiliki Arvaniti et al.   GASTROENTEROLOGY

Clinical course of alcoholic liver cirrhosis: A Danish population-based cohort study

(2009) Peter Jepsen et al.   HEPATOLOGY

Now there are many (stages) where before there was one: In search of a pathophysiological classification of cirrhosis

(2009) Guadalupe Garcia-Tsao et al.   HEPATOLOGY

Pseudo-observations in survival analysis

(2009) Per Kragh Andersen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH