| Type: | Package |
| Title: | Simple Blinding Index for Randomized Controlled Trials |
| Version: | 0.1.2 |
| 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. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| Suggests: | testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| RoxygenNote: | 7.3.2 |
| NeedsCompilation: | no |
| Packaged: | 2025-01-13 11:38:37 UTC; mir8629bac |
| Author: | David Petroff [aut, cre, cph], Miroslav Bacak [aut, cph] |
| Maintainer: | David Petroff <david.petroff@zks.uni-leipzig.de> |
| Repository: | CRAN |
| Date/Publication: | 2025-01-13 14:10:16 UTC |
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
)
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)