evalues.RD: Compute E-value for a population-standardized risk difference...

Description Usage Arguments Examples

View source: R/EValue.R

Description

Returns E-values for the point estimate and the lower confidence interval limit for a positive risk difference. If the risk difference is negative, the exposure coding should be first be reversed to yield a positive risk difference.

Usage

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evalues.RD(n11, n10, n01, n00, true = 0, alpha = 0.05, grid = 1e-04)

Arguments

n11

Number of exposed, diseased individuals

n10

Number of exposed, non-diseased individuals

n01

Number of unexposed, diseased individuals

n00

Number of unexposed, non-diseased individuals

true

True value of risk difference to which to shift the point estimate. Usually set to 0 to consider the null.

alpha

Alpha level

grid

Spacing for grid search of E-value

Examples

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## example 1     
## Hammond and Holl (1958 JAMA) Data
## Two by Two Table
##          Lung Cancer    No Lung Cancer
##Smoker    397            78557
##Nonsmoker 51             108778

# E-value to shift observed risk difference to 0
evalues.RD( 397, 78557, 51, 108778)

# E-values to shift observed risk difference to other null values
evalues.RD( 397, 78557, 51, 108778, true = 0.001)

EValue documentation built on Sept. 21, 2018, 6:41 p.m.

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