An introduction to event history analysis via multi-state models is given. Examples include
the two-state model for survival analysis, the competing risks and illness-death models, and …

Interval-censored failure time data occur in many medical investigations as well as other
studies such as demographical and sociological studies. They include the usual right …

Survival analysis, the analysis of failure time data, is a rapid developing area and a number
of books on the topic have been published in last twenty-five years. However, all of these …

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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 …

We propose a spline‐based semiparametric maximum likelihood approach to analysing the
Cox model with interval‐censored data. With this approach, the baseline cumulative hazard …

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent
techniques, models, and computational tools for interval-censored time-to-event data. Top …

Current status data occur in contexts including demographic studies and tumorigenicity
experiments. In such cases, each subject is observed only once and the failure time of …

The field of survival analysis emerged in the 20th century and experienced tremendous
growth during the latter half of the century. The developments in this field that have had the …

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 …