CP: Calculate conditional power

Description Usage Arguments Value References Examples

View source: R/CP.R

Description

This function calculates the conditional power at an interim analysis of a
clinical trial

Usage

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CP(
  r,
  n1 = NULL,
  n2 = NULL,
  alpha_1s,
  eff_est,
  eff_planned,
  eff_null,
  SE = NULL,
  type,
  pow = NULL,
  f = NULL
)

Arguments

r

Proportion of subjects assigned to active group

n1

Number of patients / events at first interim analysis (NULL if parameter f provided)

n2

Number of patients / events at final analysis (NULL if parameter f provided)

alpha_1s

one-sided alpha

eff_est

effect observed/estimated at interim

eff_planned

planned effect (usually alternative hypothesis, but can be modified to obtain
conditional power for any assumprion)

eff_null

effect corresponding with null hypothesis (e.g. 1 for hazard rates, 0 for difference)
This accomodates for non-inferiority analyses

SE

standard error: has to be provided if type not equal to "HR". If for instance SE =1
then eff_est and eff_planned correspond with z-scores

type

if type="HR", then SE is calculated, if type="general", then SE's have to be provided
by user

pow

Power, needed to calculate sample size in second part provided to obtain given power

f

n1/n2 at interim analysis. Only to be provided if n1 and n2 not provided

Value

a list of three vectors

References

Lan and Wittes. The B-Value: A Tool for Monitoring Data. Biometrics 1988;44:579-585
Mehta CR, Pocock SJ. Adaptive increase in sample size when interim results are promising: A practical
guide with examples. Statist. Med. 2011;30:3267–3284

Examples

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CP(r=0.5,n1=72 ,n2=180,alpha_1s=0.025,eff_est=0.7,eff_planned=0.7 ,eff_null=1,SE=NULL,
   type="HR",pow=0.8)
CP(r=0.5              ,alpha_1s=0.025,eff_est=1.5,eff_planned=1.96,eff_null=0,SE=1,
   type="general",pow=0.8,f=0.5)
CP(r=0.5,n1=316,n2=633,alpha_1s=0.025,eff_est=1.5,eff_planned=1.96,eff_null=0,SE=1,
   type="general",pow=0.8)

IDDI-BE/CPPZ documentation built on Oct. 19, 2020, 3:56 a.m.