RT Article
T1 A survival model with dependent competing events and right-hand censoring: Probation and parole as an illustration
JF Journal of quantitative criminology
VO 2
IS 2
SP 113
OP 137
A1 Rhodes, William
LA English
YR 1986
UL https://krimdok.uni-tuebingen.de/Record/1764276477
AB Researchers are frequently interested in estimating the elapsed time until the occurrence of an event, such as an arrest following release from prison, dissolution of a marriage, and death following the onset of a disease. Estimation is often hindered by the occurrence of a competing event, which prevents the event of interest from being observed, and by limited follow-up periods. A parametric procedure developed in this paper is suitable for dealing with nonrepeatable competing events when the events are correlated and when independent righthand censoring also exists. Weak distributional assumptions are accommodated by using a Box-Cox transformation and by explicit modeling of heteroscedasticity. The procedure is applied to data pertaining to failure on probabation and parole.
K1 Parole
K1 Probation
K1 tobit models
K1 Recidivism
K1 competing events
K1 Survival Analysis
K1 failure time
DO 10.1007/BF01074576