summary_kb {Keyboard}

Summarize Objects Generated by the Keyboard Design Package

Description

This function generates a descriptive summary for objects returned by other functions.

Usage

summary_kb(object, ...)

Arguments

object

The object (returned by another function) to be described.

...

Ignored arguments.

Details

Unpacks objects returned by other functions with descriptions of their results. The following functions are supported:
(1) get.oc.kb(), get.oc.comb.kb(), get.oc.obd.kb(), and get.oc.obd2.kb(), which yield the operating characteristics of trials simulated using the Keyboard design.
(2) select.mtd.kb() and select.mtd.comb.kb(), which yield the MTD and other statistics.
(3) next.comb.kb(), which indicates the dose combination to administer to the next cohort.
(4) select.obd.kb(), which yields the OBD.

Value

This function helps users to interpret the objects returned by other Keyboard package functions.

Author(s)

Xiaomeng Yuan, Chen Li, Hongying Sun, Li Tang and Haitao Pan

See Also

plot_kb

Examples

### Single-agent trial ###

## Summarize the object returned by get.oc.kb()
oc.single <- get.oc.kb(target=0.3, p.true=c(0.05, 0.15, 0.3, 0.45, 0.6),
                       ncohort=10, cohortsize=3, ntrial=1000)
summary_kb(oc.single)


## Summarize the object returned by select.mtd.kb()
n <- c(3, 3, 15, 9, 0)
y <- c(0, 0, 4, 4, 0)
sel.single <- select.mtd.kb(target=0.3, npts=n, ntox=y)
summary_kb(sel.single)



## Summarize the object returned by select.mtd.comb.kb()
n <- matrix(c(6, 3, 0, 0,
              6, 24, 9, 0,
              0, 0, 0, 0), ncol=4, byrow=TRUE)
y <- matrix(c(0, 0, 0, 0,
              1, 5, 4, 0,
              0, 0, 0, 0), ncol=4, byrow=TRUE)
sel.comb <- select.mtd.comb.kb(target=0.25, npts=n, ntox=y)
summary_kb(sel.comb)


## Summarize the object returned by next.comb.kb()
n <- matrix(c(3, 0, 0, 0,
              0, 0, 0, 0,
              0, 0, 0, 0), ncol=4, byrow=TRUE)
y <- matrix(c(0, 0, 0, 0,
              0, 0, 0, 0,
              0, 0, 0, 0), ncol=4, byrow=TRUE)
nxt.comb <- next.comb.kb(target=0.25, npts=n, ntox=y, dose.curr=c(1, 1))
summary_kb(nxt.comb)

## get.oc.obd
toxicity.low <- 0.15
toxicity.moderate <- 0.25
toxicity.high <- 0.35
efficacy.low <- 0.25
efficacy.moderate <- 0.45
efficacy.high <- 0.65
target.toxicity<-0.20
target.efficacy<-0.40
p.true <-c(0.08,0.20,0.60,0.80)
q.true <- c(0.25,0.40,0.25,0.50)
oc.obd.kb <- get.oc.obd.kb(toxicity.low = toxicity.low,
             toxicity.moderate= toxicity.moderate,
             toxicity.high = toxicity.high,
             efficacy.low = efficacy.low,
             efficacy.moderate = efficacy.moderate,
             efficacy.high = efficacy.high,
             target.toxicity=target.toxicity,
             target.efficacy= target.efficacy,
             p.true= p.true, q.true= q.true)
summary_kb(oc.obd.kb)

## OBD selection
target.toxicity<-0.3
target.efficacy<-0.4
npts <- c(3,6,12,3,3)
ntox <-  c(1,2,4,2,3)
neff <-  c(0,0,5,1,1)
obd <- select.obd.kb (target.toxicity=target.toxicity,
       target.efficacy= target.efficacy, npts = npts,
       ntox = ntox, neff =  neff)
summary_kb(obd)