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respondeR  

Imputing Responder Proportions from Continuous Outcomes
View on CRAN: Click here


Download and install respondeR package within the R console
Install from CRAN:
install.packages("respondeR")

Install from Github:
library("remotes")
install_github("cran/respondeR")

Install by package version:
library("remotes")
install_version("respondeR", "0.1.0")



Attach the package and use:
library("respondeR")
Maintained by
Ahmad Sofi-Mahmudi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-19
Latest Update: 2026-06-19
Description:
Express meta-analyses of continuous trial outcomes in terms of responder risks, following the interpretability tutorial of Thorlund, Walter, Johnston, Furukawa and Guyatt (2011) <doi:10.1002/jrsm.46>. Given the mean change, standard deviation and sample size per arm across studies, respondeR estimates the proportion of patients who cross a minimal important difference (MID) threshold under a parametric model for the change scores, and contrasts the arms as a risk difference, risk ratio, odds ratio or number needed to treat. It provides median, unweighted-mean, weighted-mean and per-study (fixed- or random-effects) pooling, the standardized-mean-difference to odds-ratio bridge of Anzures-Cabrera, Sarpatwari and Higgins (2011) <doi:10.1002/sim.4298>, a threshold-free common-language effect size, and a point-and-click 'Shiny' application. The estimation methods were evaluated in a simulation study by Sofi-Mahmudi (2024) <https://hdl.handle.net/11375/30210>.
How to cite:
Ahmad Sofi-Mahmudi (2026). respondeR: Imputing Responder Proportions from Continuous Outcomes. R package version 0.1.0, https://cran.r-project.org/web/packages/respondeR. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-10-12 11:40), 0.1.0 (2026-06-19 14:10)
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Complete documentation for respondeR
Functions, R codes and Examples using the respondeR R package
Full respondeR package functions and examples
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