R Under development (unstable) (2023-06-12 r84534 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 
> library("survival")
> library("multcomp")
Loading required package: mvtnorm
Loading required package: TH.data
Loading required package: MASS

Attaching package: 'TH.data'

The following object is masked from 'package:MASS':

    geyser

> set.seed(29)
> 
> bladder1 <- bladder[bladder$enum < 5, ] 
> bladder1$number <- as.factor(bladder1$number)
> 
> cm <- coxph(Surv(stop, event) ~ rx + size + number + strata(enum) + 
+             cluster(id), data = bladder1)
> summary(glht(cm, mcp(number = "Dunnett")))

	 Simultaneous Tests for General Linear Hypotheses

Multiple Comparisons of Means: Dunnett Contrasts


Fit: coxph(formula = Surv(stop, event) ~ rx + size + number + strata(enum), 
    data = bladder1, cluster = id)

Linear Hypotheses:
           Estimate Std. Error z value Pr(>|z|)    
2 - 1 == 0   0.7895     0.5124   1.541    0.494    
3 - 1 == 0   0.3848     0.4699   0.819    0.941    
4 - 1 == 0   0.7933     0.6487   1.223    0.727    
5 - 1 == 0   1.3446     0.6269   2.145    0.160    
6 - 1 == 0   2.4325     0.3440   7.071   <0.001 ***
8 - 1 == 0   0.8000     0.3502   2.285    0.115    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Adjusted p values reported -- single-step method)

> 
> wm <- survreg(Surv(stop, event) ~ rx + size + number + strata(enum) + 
+               cluster(id), data = bladder1)
> summary(glht(wm, mcp(number = "Dunnett")))

	 Simultaneous Tests for General Linear Hypotheses

Multiple Comparisons of Means: Dunnett Contrasts


Fit: survreg(formula = Surv(stop, event) ~ rx + size + number + strata(enum), 
    data = bladder1, cluster = id)

Linear Hypotheses:
           Estimate Std. Error z value Pr(>|z|)    
2 - 1 == 0  -0.4609     0.3232  -1.426   0.5374    
3 - 1 == 0  -0.2325     0.2918  -0.797   0.9328    
4 - 1 == 0  -0.6017     0.3422  -1.758   0.3184    
5 - 1 == 0  -1.0458     0.3844  -2.721   0.0338 *  
6 - 1 == 0  -1.4714     0.2949  -4.989   <0.001 ***
8 - 1 == 0  -0.3075     0.2944  -1.044   0.8089    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Adjusted p values reported -- single-step method)

> 
> 
> proc.time()
   user  system elapsed 
   1.21    0.12    1.32