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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.