Survival analysis involves the consideration of the time between a fixed starting point (eg
diagnosis of cancer) and a terminating event (eg death). The key feature that distinguishes …

Purpose: To review the principles of multivariable analysis and to examine the application of
multivariable statistical methods in general medical literature. Data Sources: A computer …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …

To assess the diagnostic value of procalcitonin (PCT), interleukin (IL)-6, IL-8, and standard
measurements in identifying critically ill patients with sepsis, we performed prospective …

Background/Aims: The incidence and natural history of small esophageal varices (EV) in
cirrhotics may influence the frequency of endoscopies and the decision to start a …

BACKGROUND The effect of hepatitis delta virus (HDV) infection on the clinical course of
cirrhosis type B is poorly defined. AIMS To investigate the impact of HDV status on morbidity …

The ideal mathematical model for predicting survival for individual patients with primary
biliary cirrhosis should be based on a small number of inexpensive, noninvasive …

The clinical features and natural history of 100 patients diagnosed as probable multiple
system atrophy (MSA) are described. In all 14 (of 41 deceased) cases who underwent post …

A practical guide to methods of survival analysis for medical researchers with limited
statistical experience. Methods and techniques described range from descriptive and …

The natural history of primary sclerosing cholangitis was assessed in 174 patients; 37 were
asymptomatic and 137 had symptoms related to underlying liver disease. At the time of …