mcNemar: Pair-Matched Analysis Tool

In epibasix: Elementary Epidemiological Functions for Epidemiology and Biostatistics

Description

This function performs elemenentary pair-matched analysis using McNemar's test and computing risk differences.

Usage

mcNemar(X, alpha= 0.05, force=FALSE, digits=3)

Arguments

X	A 2x2 matrix, with disease status (Yes/No) for the exposed individual in the columns and disease status (Yes/No) for the control individuals in the rows. Note that for a matched-pair analysis, each entry corresponds to a pair of subjects.
alpha	The desired Type I Error Rate for Hypothesis Tests and Confidence Intervals
force	Logical: McNemar's test is typically valid when the number of discordant pairs exceeds 30. The function may be forced to work, without regards to this concern with FORCE=TRUE.
digits	Number of Digits to round calculations

Details

McNemar's OR is computed as b/c. While standard errors are computed using a transformation. The risk difference is computed as (b-c)/n. Note that this technique can be used for cohort studies as well as matched trials.

Value

X	The original input matrix.
ORMc	McNemar's Odds Ratio
ORMC.CIL	Lower Confidence Limit for McNemar's OR
ORMC.CIU	Upper Confidence Limit for McNemar's OR
rd	Point Estimate of the risk difference
rd.CIL	Lower Confidence Limit for the risk difference
rd.CIU	Upper Confidence Limit for the risk difference
XMc	Value for McNemar's Chi-squared statistic

.

XMc.p.Value	P-value for the hypothesis test of no association.
alpha	The desired Type I Error Rate for Hypothesis Tests and Confidence Intervals
digits	Number of Digits to round calculations

Author(s)

Michael Rotondi, [e-mail]

References

Szklo M and Nieto FJ. Epidemiology: Beyond the Basics, Jones and Bartlett: Boston, 2007.

See Also

epi2x2

Examples

## Not run: Data for matched-cohort study, comparing smokers to non-smokers for the presence
of lung cancer.
## End(Not run)
X <- cbind(c(15,5), c(19,61));
summary(mcNemar(X, alpha=0.05, force=TRUE));

epibasix documentation built on May 2, 2019, 10:08 a.m.