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Call:
coxph(formula = Surv(time, y) ~ post + post.ICgroup + strata(id), data = 
	vps.stacked, method = "exact")

  n= 3000 

               coef exp(coef) se(coef)    z     p 
        post 0.0121      1.01    0.135 0.09 0.930
post.ICgroup 0.4822      1.62    0.196 2.46 0.014

             exp(coef) exp(-coef) lower .95 upper .95 
        post      1.01      0.988     0.777      1.32
post.ICgroup      1.62      0.617     1.103      2.38

Rsquare= 0.004   (max possible= 0.294 )
Likelihood ratio test= 12.3  on 2 df,   p=0.00212
Wald test            = 12.1  on 2 df,   p=0.00234
Score (logrank) test = 12.3  on 2 df,   p=0.00214

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Call: glm(formula = q4safe6 ~ ICgroup, family = binomial, data = vps.data)
Deviance Residuals:
       Min        1Q    Median       3Q      Max 
 -1.429427 -1.260217 0.9447738 1.096795 1.096795

Coefficients:
                Value Std. Error  t value 
(Intercept) 0.1925931 0.08985519 2.143372
    ICgroup 0.3827386 0.12929701 2.960150

(Dispersion Parameter for Binomial family taken to be 1 )

    Null Deviance: 1350.739 on 999 degrees of freedom

Residual Deviance: 1341.95 on 998 degrees of freedom

Number of Fisher Scoring Iterations: 2 

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Call: glm(formula = q4safe6 ~ ICgroup + q4safe0, family = binomial, data = vps.data)
Deviance Residuals:
       Min        1Q    Median        3Q      Max 
 -1.774608 -1.075117 0.6812364 0.8240591 1.477476

Coefficients:
                 Value Std. Error    t value 
(Intercept) -0.6824109  0.1230494  -5.545828
    ICgroup  0.4369697  0.1396566   3.128888
    q4safe0  1.5880169  0.1395991  11.375556

(Dispersion Parameter for Binomial family taken to be 1 )

    Null Deviance: 1350.739 on 999 degrees of freedom

Residual Deviance: 1202.714 on 997 degrees of freedom

Number of Fisher Scoring Iterations: 3 

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