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Table 2 Parametric terms of semi-parametric additive hazards model

From: Accounting for individual differences and timing of events: estimating the effect of treatment on criminal convictions in heroin users

 

Multiple regression model 2

Variable

Hazard ratio (95% CI)

p-value

OMT

(See Figure 3)

<0.001

Female gender

-0.0088 (-0.0142, -0.0034)

0.001

Age [10 years]

-0.0006 (-0.0010, -0.0003)

<0.001

>27 criminal days prior to OMT application

0.0463 (0.0284, 0.0641)

<0.001

Criminal conviction while on waiting list

(See Figure 3)

<0.001

>1 OMT period

0.0212 (0.0080, 0.0343)

0.001

Criminal conviction last 30 days

(See Figure 3)

<0.001

  1. Effect estimates for parametric terms of a semi-parametric additive hazards regression model with day of criminal conviction as a recurrent event outcome and opoid maintenance treatment (OMT) a time-dependent explanatory variable. Time-varying covariate effects are shown in Figure 3.