Attributable fractions are commonly used to measure the impact of risk factors on disease
incidence in the population. These static measures can be extended to functions of time …

The attributable fraction is a commonly used measure that quantifies the public health
impact of an exposure on an outcome. It was originally defined for binary outcomes, but an …

Quantification of the impact of exposure to modifiable risk factors on a particular outcome at
the population level is a fundamental public health issue. In cohort studies, the population …

The problem central to this document is the estimation of change in disease attributable to
an epidemiological exposure variable that stems from a change in the distribution of that …

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 …

The population attributable fraction (PAF) is a useful measure for describing the expected
change in an outcome if its risk factors are modified. Cohort studies allow researchers to …

In contrast to the proportional hazards model, the additive risk model specifies that the
hazard function associated with a set of possibly time-varying covariates is the sum of, rather …

The standard estimator for the cause-specific cumulative incidence function in a competing
risks setting with left truncated and/or right censored data can be written in two alternative …

Current status data arise when the exact timing of an event is unobserved, and it is only
known at a given point in time whether or not the event has occurred. Recently Lin et …

Interval-censored event time data often arise in medical and public health studies. In such a
setting, the exact time of the event of interest cannot be observed and is only known to fall …