Surviving Pretrial Release: A Competing Risks Analysis

• In Event: 315 - Open Refereed Roundtables Session. B. Table 01 Shared and Contested Spaces
  In Refereed Roundtable 100min: Table 09. Power, Perception, Risk and Discourse

Abstract

This project uses longitudinal analysis to assess the success of pretrial programming and drug monitoring in lowering the risk of pretrial rearrest. To accomplish this, a competing risks analysis was conducted using data from the State Court Processing Statistics 2006 wave. The results showed that longitudinal patterns of rearrest were different for those who participated in pretrial programming and those who did not. Being black (as opposed to white), age, and number of prior convictions were also significant predictors of rearrest risk. Analyses were also conducted to see if any of the covariates varied with time and the results suggest that the effects are consistent over time. While the dataset has limitations in providing demographic controls and specific information about the type of pretrial programming, this analysis contributes to the literature by incorporating a longitudinal model of pretrial programming at the national level. Incorporating time into the model allows researchers to compare patterns of risk over time and determine if the effects of the conditions vary over time.

Author

• Jennifer Stevens