Prognostic classification schemes have often been used in medical applications, but rarely
subjected to a rigorous examination of their adequacy. For survival data, the statistical …

This book covers competing risks and multistate models, sometimes summarized as event
history analysis. These models generalize the analysis of time to a single event (survival …

Competing risks analysis considers time‐to‐first‐event (‘survival time’) and the event type (‘cause’),
possibly subject to right‐censoring. The cause‐, ie event‐specific hazards, …

For regression on state and transition probabilities in multi-state models Andersen et al. (Biometrika
90:15–27, 2003) propose a technique based on jackknife pseudo-values. In this …

Background The heterogeneity statistic I 2 , interpreted as the percentage of variability due
to heterogeneity between studies rather than sampling error, depends on precision, that is, …

Background Erythropoiesis-stimulating agents reduce anaemia in patients with cancer and
could improve their quality of life, but these drugs might increase mortality. We therefore did a …

Background Stevens–Johnson syndrome (SJS) and its severe form, toxic epidermal necrolysis
(TEN), are rare but life-threatening cutaneous adverse reactions to drugs, especially to …

A common problem in the statistical analysis of clinical studies is the selection of those
variables in the framework of a regression model which might influence the outcome variable. …

OBJECTIVE In the BI 10773 (Empagliflozin) Cardiovascular Outcome Event Trial in Type 2
Diabetes Mellitus Patients (EMPA-REG OUTCOME) trial involving 7,020 patients with type 2 …

Background Patients admitted to intensive-care units are at high risk of health-care-associated
infections, and many are caused by antimicrobial-resistant pathogens. We aimed to …