neuropathy {coin} | R Documentation

## Acute Painful Diabetic Neuropathy

### Description

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

### Usage

    neuropathy

### Format

A data frame with 58 observations on 2 variables.

`pain`

  pain scores: ln(baseline / final).

`group`

  a factor with levels `"control"` and `"treat"`.

### Details

Data from Conover and Salsburg (1988, Tab. 1).

### Source

Conover, W. J. and Salsburg, D. S. (1988). Locally most powerful tests for detecting treatment effects when only a subset of patients can be expected to “respond” to treatment. Biometrics 44(1), 189–196. doi: 10.2307/2531906

### Examples

    ## Conover and Salsburg (1988, Tab. 2)

    ## One-sided approximative Fisher-Pitman test
    oneway_test(pain ~ group, data = neuropathy,
                alternative = "less",
                distribution = approximate(nresample = 10000))

    ## One-sided approximative Wilcoxon-Mann-Whitney test
    wilcox_test(pain ~ group, data = neuropathy,
                alternative = "less",
                distribution = approximate(nresample = 10000))

    ## One-sided approximative Conover-Salsburg test
    oneway_test(pain ~ group, data = neuropathy,
                alternative = "less",
                distribution = approximate(nresample = 10000),
                ytrafo = function(data)
                    trafo(data, numeric_trafo = consal_trafo))

    ## One-sided approximative maximum test for a range of 'a' values
    it <- independence_test(pain ~ group, data = neuropathy,
                            alternative = "less",
                            distribution = approximate(nresample = 10000),
                            ytrafo = function(data)
                                trafo(data, numeric_trafo = function(y)
                                    consal_trafo(y, a = 2:7)))
    pvalue(it, method = "single-step")

[Package coin version 1.3-0 Index]