Acute Painful Diabetic Neuropathy

The logarithm of the ratio of pain scores at baseline and after four weeks for a control and treatment group.

Usage

data(neuropathy)

Format

A data frame with 58 observations on the following 2 variables.

pain

Pain scores: ln(baseline/final).

group

a factor with levels control and treat.

Details

Data from Table 1 of Conover & Salsburg (1988).

Source

William J. Conover and David S. Salsburg (1988), Locally most powerful tests for detecting treatment effects when only a subset of patients can be expected to "respond" to treatment. Biometrics, 44, 189–196.

Examples

data(neuropathy)
# compare with Table 2 of Conover & Salsburg (1988)
wilcox.exact(pain ~ group, data=neuropathy, alternative="less")
#> 
#> 	Exact Wilcoxon rank sum test
#> 
#> data:  pain by group
#> W = 357, p-value = 0.1654
#> alternative hypothesis: true mu is less than 0
#> 
css <- cscores(neuropathy$pain, type="ConSal")
pperm(sum(css[neuropathy$group=="control"]),css,
      m=sum(neuropathy$group=="control"))
#> Warning: cannot hold tol, tolerance: 0.047123
#> [1] 0.0307573