Truncation is a well-known phenomenon that may be present in observational studies of time-to-event data. While many methods exist to adjust for either left or right truncation, there are very few ...

Let y = βT x + ∈ denote the intrinsic relation between the response y and a covariate vector x, where ∈ represents an unobservable random variable. A truncated regression model assumes the existence ...

Doubly truncated data arise when the variable of interest is observable only if it falls between pre‐specified lower and upper bounds. This phenomenon poses significant challenges to statistical ...