matched_or: Matched pairs odds ratio and confidence interval
In nt-williams/catfun: Categorical Data Analysis

Description Usage Arguments Details Value Examples

Create odds ratio and confidence interval from matched pairs data.

1	matched_or(df, ...)

`df`	a dataframe with binary variables x and y or a 2 x 2 frequency table/matrix. If a table or matrix, x and y must be NULL. Used to select method.
`...`	further arguments passed to or from other methods.

The matched pairs odds ratio and confidence interval is the equivalent of calculating a Cochran-Mantel-Haenszel odds ratio where each pair is treated as a stratum.

a list with class "matched_or" with the following components:

`tab`	2x2 table using for calculating risk difference
`or`	dataframe with columns corresponding to matched-pairs OR, lower bound, and upper bound of CI
`conf.level`	specified confidence level

set.seed(1)
gene <- data.frame(pair = seq(1:35),
                   ulcer = rbinom(35, 1, .7),
                   healthy = rbinom(35, 1, .4))

matched_or(gene, ulcer, healthy)