A small illustrative dataset of three trials reporting continuous change scores per arm. Used in examples, the bundled Shiny app and the package tests. Values are fictional but plausible.
Format
A data frame with 3 rows and 7 columns:
- study
Study identifier.
- change_e
Mean change in the experimental arm.
- sd_e
Standard deviation of change in the experimental arm.
- n_e
Sample size of the experimental arm.
- change_c
Mean change in the control arm.
- sd_c
Standard deviation of change in the control arm.
- n_c
Sample size of the control arm.
Examples
responder_analysis(sample_responder_data, mid = 1)
#> Responder analysis (respondeR)
#> MID = 1 (a higher change is a response); k = 3 studies; fixed
#> effects; delta per-study variance
#> Percentages; 95% confidence intervals.
#>
#> Method PE PC RD RR
#> Individual - - 25.5 (20.0 to 31.0) 2.15 (1.79 to 2.58)
#> Weighted mean 47.6 22.1 25.5 (20.0 to 31.1) 2.16 (1.80 to 2.59)
#> Unweighted mean 47.7 22.8 24.9 2.09
#> Median 48.7 21.5 27.2 2.26
#> OR NNT
#> 3.20 (2.45 to 4.18) NNTB 3.9 (3.2 to 5.0)
#> 3.21 (2.46 to 4.19) NNTB 3.9 (3.2 to 5.0)
#> 3.09 NNTB 4.0
#> 3.46 NNTB 3.7
#>
#> Use as.data.frame() for every column, summary() for details, plot() for a forest plot.