Package 'SBI' reference manual

Title:	Simple Blinding Index for Randomized Controlled Trials
Description:	Computes a simple blinding index for randomized controlled trials introduced in Petroff, Bacak, Dagres, Dilk, Wachter: A simple blinding index for randomized controlled trials. Contemp Clin Trials Commun. 2024 Nov 26;42:101393. <doi:10.1016/j.conctc.2024.101393>. PMID: 39686958.
Authors:	David Petroff [aut, cre, cph], Miroslav Bacak [aut, cph]
Maintainer:	David Petroff <[email protected]>
License:	GPL-3
Version:	0.1.2
Built:	2025-02-12 06:11:47 UTC
Source:	https://github.com/cran/SBI

Computes a simple index for blinding in randomized clinical trials.

Description

This routine takes the entries from a 2x2 table as the arguments and returns the estimate for the difference of the probabilities p_A-p_B along with the Newcombe-Wilson-CI. It also finds a p-value dual to the Newcombe-Wilson method. For more details, see Petroff, Bacak, Dagres, Dilk, Wachter: A simple blinding index for randomized controlled trials. Contemp Clin Trials Commun. 2024 Nov 26;42:101393. doi: 10.1016/j.conctc.2024.101393. PMID: 39686958.

Usage

BlindingIndex(
  n_AA,
  n_BA,
  n_AB,
  n_BB,
  tolerance = 1e-12,
  switch_point = 1e-12,
  conf.level = 0.95
)
BlindingIndex(
  n_AA,
  n_BA,
  n_AB,
  n_BB,
  tolerance = 1e-12,
  switch_point = 1e-12,
  conf.level = 0.95
)

Arguments

`n_AA`	Number of patients in Group A guessing that they are in Group A. A non-negative number, usually an integer.
`n_BA`	Number of patients in Group A guessing that they are in Group B. A non-negative number, usually an integer.
`n_AB`	Number of patients in Group B guessing that they are in Group A. A non-negative number, usually an integer.
`n_BB`	Number of patients in Group B guessing that they are in Group B. A non-negative number, usually an integer. Alternatively, one can pass the first four arguments as a single 2x2 table, that is, as.table(cbind(c(n_AA, n_BA), c(n_AB, n_BB))).
`tolerance`	Tolerance for the ‘stats::uniroot’ function.
`switch_point`	A technical detail. A (very small) positive number.
`conf.level`	confidence level.

Value

`est`	Estimate
`lwr.ci`	Lower end of CI
`upr.ci`	Upper end of CI
`p.value`	p-value dual to the Wilson CI method
`z`	z-value corresponding to the p-value

Examples

BlindingIndex(50, 50, 50, 50)
BlindingIndex(50, 50, 50, 50)