| FTAdata {aihuman} | R Documentation |
Interim Dane data with failure to appear (FTA) as an outcome
Description
An interim dataset containing pre-treatment covariates, a binary treatment (Z), an ordinal decision (D), and an outcome variable (Y). The data used for the paper, and made available here, are interim, based on only half of the observations in the study and (for those observations) only half of the study follow-up period. We use them only to illustrate methods, not to draw substantive conclusions.
Usage
FTAdata
Format
A data frame with 1891 rows and 19 variables:
- Z
binary treatment
- D
ordinal decision
- Y
outcome
- Sex
male or female
- White
white or non-white
- SexWhite
the interaction between gender and race
- Age
age
- PendingChargeAtTimeOfOffense
binary variable for pending charge (felony, misdemeanor, or both) at the time of offense
- NCorNonViolentMisdemeanorCharge
binary variable for current non-violent felony charge
- ViolentMisdemeanorCharge
binary variable for current violent misdemeanor charge
- ViolentFelonyCharge
binary variable for current violent felony charge
- NonViolentFelonyCharge
binary variable for current non-violent felony charge
- PriorMisdemeanorConviction
binary variable for prior conviction of misdemeanor
- PriorFelonyConviction
binary variable for prior conviction of felony
- PriorViolentConviction
four-level ordinal variable for prior violent conviction
- PriorSentenceToIncarceration
binary variable for prior sentence to incarceration
- PriorFTAInPastTwoYears
three-level ordinal variable for FTAs from past two years
- PriorFTAOlderThanTwoYears
binary variable for FTAs from over two years ago
- Staff_ReleaseRecommendation
four-level ordinal variable for the DMF recommendation