In clinical cancer research, competing risks are frequently encountered. For example,
individuals undergoing treatment for surgically resectable disease may experience …

Competing risks data arise naturally in medical research, when subjects under study are at
risk of more than one mutually exclusive event such as death from different causes. The …

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 …

Purpose Cardiac dysfunction (CD) is a recognized risk associated with the addition of
trastuzumab to adjuvant chemotherapy for human epidermal growth factor receptor 2 …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

Purpose: Competing risks observations, in which patients are subject to a number of
potential failure events, are a feature of most clinical cancer studies. With competing risks …

Background Although bone mineral density (BMD) testing to screen for osteoporosis (BMD T
score,− 2.50 or lower) is recommended for women 65 years of age or older, there are few …

Separate Cox analyses of all cause-specific hazards are the standard technique of choice to
study the effect of a covariate in competing risks, but a synopsis of these results in terms of …

Competing risks occur in survival analysis when an individual is at risk of more than one
type of event and one event's occurrence precludes another's. The cause-specific …

Competing risks arise with time‐to‐event data when individuals are at risk of more than one
type of event and the occurrence of one event precludes the occurrence of all other events …