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 …

This book provides fundamental ideas and statistical methodologies for analyzing doubly
truncated data, and serves as an accessible introductory textbook for statistical analyses of …

Doubly truncated data arise when event times are observed only if they fall within subject-
specific, possibly random, intervals. While non-parametric methods for survivor function …

The partial likelihood (PL) function has been mainly used for the Cox proportional hazards
models with censored data. The PL approach can also be used for analyzing left-truncated …

Doubly truncated data are found in astronomy, econometrics, and survival analysis
literature. They arise when each observation is confined to an interval, that is, only those …

Doubly truncated data arise when a failure time T is observed only if it falls within a subject-
specific, possibly random, interval [U, V], where U and V are referred to as left-and right …

For doubly truncated data, ie the variables of interest are only observable if they lie in a
certain random interval, an additive hazard model with time-dependent regression …

Interval sampling is an efficient sampling scheme used in epidemiological studies. Doubly
truncated (DT) data arise under this sampling scheme when the failure time can be …

In epidemiological studies, it is easier to collect data only from individuals whose failure
events are within a calendar time interval, the so-called interval sampling, which leads to …

Field data provide important information on product reliability. Interval sampling is widely
used for collection of field data, which typically report incident cases during a certain time …