RS.trend.test {CorrBin}

R Documentation

Rao-Scott trend test

Description

RS.trend.test implements the Rao-Scott adjusted Cochran-Armitage test for linear increasing trend with correlated data.

Usage

RS.trend.test(cbdata)

Arguments

cbdata

a CBData object

Details

The test is based on calculating a design effect for each cluster by dividing the observed variability by the one expected under independence. The number of responses and the cluster size are then divided by the design effect, and a Cochran-Armitage type test statistic is computed based on these adjusted values.

The implementation aims for testing for increasing trend, and a one-sided p-value is reported. The test statistic is asymptotically normally distributed, and a two-sided p-value can be easily computed if needed.

Value

A list with components

statistic	numeric, the value of the test statistic
p.val	numeric, asymptotic one-sided p-value of the test

Author(s)

Aniko Szabo, aszabo@mcw.edu

References

Rao, J. N. K. & Scott, A. J. A (1992) Simple Method for the Analysis of Clustered Data Biometrics, 48, 577-586.

See Also

SO.trend.test, GEE.trend.test for alternative tests; CBData for constructing a CBData object.

Examples

data(shelltox)
RS.trend.test(shelltox)

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