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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Predicting Recidivism Using Survival Models

Predicting Recidivism Using Survival Models

Schmidt, Peter
Witte, Ann D.

Paperback

Series: Research in Criminology

Medical ReferenceCriminologyGeneral Psychology

ISBN10: 1461283434
ISBN13: 9781461283430
Publisher: Springer
Published: Jul 24 2012
Pages: 174
Weight: 0.61
Height: 0.41 Width: 6.14 Depth: 9.21
Language: English
Our interest in the statistical modeling of data on the timing of recidivism began in the mid 1970s when we were both junior members of the eco- nomics department at the University of North Carolina. At that time, methods of analyzing qualitative and limited variables were being developed rapidly in the econometric literature, and we became interested in finding a suitable application for these new methods. Data on the timing of recidivism offered unique and interesting statistical challenges, such as skewness of the distribution and the presence of censoring. Being young and foolish, we decided it would be fun to try something really difficult. And, being young and ignorant, we were blissfully unaware of the con- current developments in the statistical modeling of survival times that were then appearing in the biostatistics, operations research, and criminological literatures. In the course of some earlier research, we had learned that the North Carolina Department of Correction had an unusually well-developed data base on their inmates. We approached the Department and asked if they would be interested in working with us to develop models that would predict when their former charges would return to their custody. They agreed because they were interested in using such models to evaluate rehabilitative programs and alternative prison management systems and to help project future prison populations.

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