adjusted.odds.ratio: Adjusted odds ratio accounting for misclassification

In clayford/bme: Biostatistical Methods in Epidemiology

Description

Calculate potential impact of misclassification on an odds ratio estimate for a single 2 x 2 table.

Usage

adjusted.odds.ratio(data, sensitivity, specificity)

Arguments

data	a 2 x 2 matrix with disease=yes in row 1 and exposure=yes in column 1.
sensitivity	proportion in interval (0,1) of exposed cohort who truly develop the disease and are diagnosed correctly.
specificity	proportion in interval (0,1) of exposed cohort who truly do not develop the disease and are diagnosed correctly.

Value

A list with two components:

Adjusted odds ratio

Adjusted odds ratio after accounting for misclassification

Estimated odds ratio

Estimated odds ratio based on (possibly) misclassified data

References

Newman (2001), pages 72-75, 99.

Examples

## Example 4.2
adjusted.odds.ratio(data = breast, sensitivity = 0.9, specificity = 0.99) 

clayford/bme documentation built on May 13, 2019, 7:37 p.m.