# AB.withoutDescalation: A + B Escalation Design without Dose De-escalation In TrialSize: R functions in Chapter 3,4,6,7,9,10,11,12,14,15

## Description

The general A+B designs without dose de-escalation. There are A patients at dose level i.

(1) If less than C/A patients have dose limiting toxicity (DLTs), then the dose is escalated to the next dose level i+1.

(2)If more than D/A (D C) patients have DLTs, then the previous dose i-1 will be considered the maximum tolerable dose (MTD).

(3)If no less than C/A but no more than D/A patients have DLTs, B more patients are treated at this dose level i.

(4)If no more than E (where E D) of the total A+B patients have DLT, then the dose is escalated.

(5)If more than E of the total of A+B patients have DLT, then the previous dose i-1 will be considered the MTD.

## Usage

 `1` ```AB.withoutDescalation(A, B, C, D, E, DLT) ```

## Arguments

 `A` number of patients for the start A `B` number of patients for the continuous B `C` number of patients for the first cut off C `D` number of patients for the second cut off D, D ≥ C `E` number of patients for the third cut off D, E ≥ D `DLT` dose limiting toxicity rate for each dose level.

## References

Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003

## Examples

 ```1 2 3 4``` ```DLT=c(0.01,0.014,0.025,0.056,0.177,0.594,0.963) Example.11.6.1<-AB.withoutDescalation(A=3,B=3,C=1,D=1,E=1,DLT=DLT) Example.11.6.1 # Example.11.6.1[1]=3.1 ```

TrialSize documentation built on May 30, 2017, 7:18 a.m.