[R] aftreg vs survreg loglogistic aft model (different intercept term)

[Immanuel]

I add an example , all the variables are mutually excluding dummy variables,
notice the different intercept: 5.627 vs 5.545:
survreg:
              Value Std. Error     z        p
(Intercept)   5.627    0.00887 634.3 0.00e+00
Var1.recR2 -0.108    0.01026 -10.5 1.00e-25
Var1.recR3 -0.490    0.01099 -44.5 0.00e+00
Var1.recR4 -0.542    0.01303 -41.6 0.00e+00
Var1.recR5 -0.891    0.01095 -81.3 0.00e+00
Log(scale)   -0.324    0.00350 -92.7 0.00e+00

Scale= 0.723 

Log logistic distribution
Loglik(model)= -379503.5   Loglik(intercept only)= -383388.9
        Chisq= 7770.76 on 4 degrees of freedom, p= 0 

aftreg:
Covariate          W.mean      Coef Exp(Coef)  se(Coef)    Wald p
Var1.recR 
               1    0.253     0         1           (reference)
               2    0.330     0.108     1.114     0.010     0.000 
               3    0.191     0.490     1.632     0.011     0.000 
               4    0.106     0.542     1.720     0.013     0.000 
               5    0.120     0.891     2.437     0.011     0.000 

log(scale)                    5.545   256.029     0.008     0.000 
log(shape)                    0.324     1.383     0.003     0.000 

Max. log. likelihood      -379504 

-- 
View this message in context: http://r.789695.n4.nabble.com/aftreg-vs-survreg-loglogistic-aft-model-different-intercept-term-tp3059250p3060545.html
Sent from the R help mailing list archive at Nabble.com.