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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 per-study (fixed- or random-effects) pooling with exact tail probabilities, a pooled-summary method anchored on the within-study mean difference, median and unweighted-mean summaries, 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, results across a range of thresholds, GRADE summary-of-findings rows, change-score standard deviation imputation, shared-control handling for multi-arm trials, and a point-and-click 'Shiny' application. It can also read a continuous meta-analysis already fitted with 'meta' or 'metafor' and convert it to responder risks. The framework follows the simulation study of Sofi-Mahmudi (2024) <https://hdl.handle.net/11375/30210>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5) |
| Imports: | graphics, grDevices, stats, utils |
| Suggests: | shiny, shinydashboard, DT, testthat (≥ 3.0.0), meta, metafor, knitr, rmarkdown |
| Published: | 2026-10-12 |
| DOI: | 10.32614/CRAN.package.respondeR |
| Author: | Ahmad Sofi-Mahmudi
|
| Maintainer: | Ahmad Sofi-Mahmudi <a.sofimahmudi at gmail.com> |
| BugReports: | https://github.com/choxos/respondeR/issues |
| License: | GPL-3 |
| URL: | https://github.com/choxos/respondeR, https://choxos.github.io/respondeR/ |
| NeedsCompilation: | no |
| Citation: | respondeR citation info |
| Materials: | README, NEWS |
| CRAN checks: | respondeR results |
| Reference manual: | respondeR.html , respondeR.pdf |
| Vignettes: |
Responder analysis from a fitted meta-analysis (source, R code) Methodology (source, R code) Getting started with respondeR (source, R code) |
| Package source: | respondeR_0.2.0.tar.gz |
| Windows binaries: | r-devel: respondeR_0.1.0.zip, r-release: respondeR_0.1.0.zip, r-oldrel: respondeR_0.1.0.zip |
| macOS binaries: | r-release (arm64): respondeR_0.2.0.tgz, r-oldrel (arm64): respondeR_0.2.0.tgz, r-release (x86_64): respondeR_0.2.0.tgz, r-oldrel (x86_64): respondeR_0.2.0.tgz |
| Old sources: | respondeR archive |
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These binaries (installable software) and packages are in development.
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