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. Author manuscript; available in PMC: 2011 Nov 1.
Published in final edited form as: AIDS Behav. 2011 Nov;15(8):1721–1731. doi: 10.1007/s10461-010-9870-1

Table 3.

Parameter estimates of best fitting model of the intervention effect on clinic prevalence levels using weighted censored regressions

Outcome EST SE t df p n at upper bound
 Predictor
Before today, ever heard (specifically) about Hepatitis C 133
 intercept 0.92 0.01 173.47 1 <.0001
 delayed 0.09 0.01 9.25 1 <.0001
 Sigma 0.08 0.00 22.72 1 <.0001
Talked with Medical Provider about Hepatitis C 63
 intercept 0.39 0.04 10.59 1 <.0001
 time −0.01 0.00 −4.52 1 <.0001
 intervention 0.28 0.03 8.23 1 <.0001
 intervention*time 0.01 0.00 3.91 1 <.0001
 prevalence of IV drug use 0.84 0.07 12.77 1 <.0001
 prevalence of having a sex partner 0.28 0.11 2.48 1 0.013
 Sigma 0.13 0.01 24.80 1 <.0001
Got tested for Hepatitis C 67
 intercept 0.73 0.01 49.81 1 <.0001
 prevalence of IV drug use 0.66 0.06 10.28 1 <.0001
 Sigma 0.12 0.01 22.95 1 <.0001
Knows Hepatitis C Status 44
 intercept 0.64 0.04 16.61 1 <.0001
 time −0.01 0.00 −2.37 1 0.0176
 intervention 0.02 0.04 0.63 1 0.525
 intervention*time 0.01 0.00 2.36 1 0.018
 prevalence of IV drug use 0.63 0.07 9.50 1 <.0001
 Sigma 0.13 0.01 23.93 1 <.0001

Note:

total number of patients included in biweekly intervals with a prevalence of 100%; covariates only tested for inclusion if significant on the patient-level