| GEE.trend.test {CorrBin} | R Documentation |
GEE-based trend test
Description
GEE.trend.test implements a GEE based test for linear increasing trend
for correlated binary data.
Usage
GEE.trend.test(cbdata, scale.method = c("fixed", "trend", "all"))
Arguments
cbdata |
a |
scale.method |
character string specifying the assumption about the change in the overdispersion (scale) parameter across the treatment groups: "fixed" - constant scale parameter (default); "trend" - linear trend for the log of the scale parameter; "all" - separate scale parameter for each group. |
Details
The actual work is performed by the geese function of
the geepack library. This function only provides a convenient wrapper
to obtain the results in the same format as RS.trend.test and
SO.trend.test.
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
See Also
RS.trend.test, SO.trend.test for
alternative tests; CBData for constructing a CBData object.
Examples
data(shelltox)
GEE.trend.test(shelltox, "trend")