matched_or: Matched pairs odds ratio and confidence interval

In catfun: Categorical Data Analysis

Description

Create odds ratio and confidence interval from matched pairs data.

Usage

matched_or(df, ...)

Arguments

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.

Details

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.

Value

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

Examples

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)

Example output

Frequency table: 

     healthy
ulcer  0  1
    0  4  6
    1 16  9

---------------------------------------- 

Confidence level: 95% 
  odds_ratio lower_bound upper_bound
1      0.375      0.1467      0.9583

catfun documentation built on June 14, 2019, 5:04 p.m.