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. Author manuscript; available in PMC: 2010 Sep 1.
Published in final edited form as: Schizophr Res. 2009 May 28;113(2-3):138–144. doi: 10.1016/j.schres.2009.04.018

Table 2.

Cox Proportional Hazards Models Predicting Dropout from Cannabis Use and non-Adherence to Medication, Controlling for Medication, Site, Race, Sex, Age, and SES

Dropout Non-Adherence



Hazard Ratio 95% CI Hazard Ratio 95% CI



Cannabis Use 6.4* [1.2, 35.6] 2.4*** [1.5, 3.9]
Medication (1=Olanazapine, 2=Risperidone) 1.3 [0.3, 4.6] 1.1 [0.7, 1.7]
Site (0 = Hillside, 1 = Bronx) 1.7 [0.4, 8.0] 5.4*** [3.3, 8.9]
Sex (1 = male, 2 = female) 3.4 [0.8, 14.4] 0.6 [0.3, 1.2]
Age 1.0 [0.9, 1.2] 1.0 [1.0, 1.1]
Socioeconomic Status 0.9 [0.9, 1.0] 1.0 [1.0, 1.0]
          Black 1.2 [0.1, 12.2] 1.2 [0.5, 2.8]
          Latino 7.9 [0.6, 104.2] 0.5 [0.2, 1.6]
Race: (ref = white)
          Asian 4.7 [0.4, 57.9]
          Other 2.0 [0.1, 37.6] 2.4+ [0.9, 6.1]



Model Fit χ2 18.9* 92.1***
# Participants 103 96
# “Failure” Events 12 90
Months at risk 986 927



Results illustrated in Figure 1 Figure 2

Note: Cannabis Use is a time-varying covariate; all other predictors are time-invariant.

+

p < .10

*

p < .05

**

p < .01

***

p < .001.

Asians had to be excluded from this analysis because there were no months during which an Asian participant both had valid data for cannabis use and was observed to be non-adherent.