respondeR
Imputing Responder Proportions from Continuous Outcomes
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | respondeR_0.1.0.tar.gz |
237.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | respondeR_0.1.0.tar.gz |
237.6 KiB |
0.1.0 |
rolling source/ R- | respondeR_0.1.0.tar.gz |
181.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | respondeR_0.1.0.tar.gz |
237.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | respondeR_0.1.0.tar.gz |
237.6 KiB |
0.1.0 |
latest source/ R- | respondeR_0.1.0.tar.gz |
181.8 KiB |
0.1.0 |
2026-04-23 source/ R- | respondeR_0.1.0.tar.gz |
0 B |