summary.emaxsimB {clinDR}

Summary of output of emaxsimB

Description

Detailed summary of repeated sampling properties of Bayesian Emax estimation and comparison with simple pairwise comparisons.

Usage

## S3 method for class 'emaxsimB'
summary(object, testalpha = 0.05, 
	clev = c('0.9','0.95','0.8'),
	seSim = FALSE, ...)

Arguments

object

Output of emaxsimB

testalpha

Alpha level for a one-sided MCP-MOD trend test.

clev

Posterior proabilities for reported intervals

seSim

If TRUE, then simulation standard errors are reported in parentheses. These should be distinguished from posterior SD in the simulations.

...

Other unspecified parameters (none currently utilized)

Details

For pairwise comparisons, the 'most favorable pairwise comparison' means the dose with the best difference versus placebo is compared to the population mean response for the selected dose, thus the target value for coverage, bias, and RMSE changes depending on the selected dose.

Value

The function produces annotated output summarizing the properties of the estimation procedures. The summaries are also returned as an invisible list for extracting results.

Author(s)

Neal Thomas

See Also

emaxsim, print.emaxsim, plot.emaxsim

Examples

## Not run: 

## emaxsimB changes the random number seed
nsim<-50
idmax<-5
doselev<-c(0,5,25,50,100)
n<-c(78,81,81,81,77)
Ndose<-length(doselev)

### population parameters for simulation
e0<-2.465375 
ed50<-67.481113 

dtarget<-100
diftarget<-2.464592
emax<-solveEmax(diftarget,dtarget,log(ed50),1,e0)

sdy<-7.967897
pop<-c(log(ed50),emax,e0)    
meanlev<-emaxfun(doselev,pop)  

###FixedMean is specialized constructor function for emaxsim
gen<-FixedMean(n,doselev,meanlev,sdy)  

prior<-emaxPrior.control(epmu=0,epsca=30,difTargetmu=0,
		difTargetsca=30,dTarget=100,p50=50,sigmalow=0.1,
		sigmaup=30,parmDF=5)
mcmc<-mcmc.control(chains=1,warmup=500,iter=5000,seed=53453,propInit=0.15,adapt_delta = 0.95)

D1 <- emaxsimB(nsim,gen, prior, modType=3,mcmc=mcmc,check=FALSE)


summary(D1,testalph=0.05,clev='0.95')

## End(Not run)