riskratio: Calculate risk ratio and its confidence intervals

In fmsb: Functions for Medical Statistics Book with some Demographic Data

Calculate risk ratio and its confidence intervals

Description

Calculate risk ratio (a kind of relative risk) and its confidence intervals based on approximation, followed by null hypothesis (risk ratio equals to 1) testing.

Usage

 riskratio(X, Y, m1, m2, conf.level=0.95, p.calc.by.independence=TRUE) 

Arguments

X	The number of disease occurence among exposed cohort.
Y	The number of disease occurence among non-exposed cohort.
m1	The number of individuals in exposed cohort group.
m2	The number of individuals in non-exposed cohort group.
conf.level	Probability for confidence intervals. Default is 0.95.
p.calc.by.independence	Logical. If TRUE, calculating p-value by testing the null-hypothesis of independence between exposure and disease. Otherwise, calculating p-value by inverse-function of confidence intervals calculation (the result becomes the same as the vcd package). Default TRUE.

Value

estimate	Calculated point estimate of risk ratio.
conf.int	A numeric vector of length 2 to give upper/lower limit of confidence intervals.
p.value	The significant probability of the result of null-hypothesis testing.

Author(s)

Minato Nakazawa [e-mail] https://minato.sip21c.org/

References

Rothman KJ (2012) Epidemiology: An Introduction. 2nd Ed., Oxford University Press, Oxford.

Examples

 res <- riskratio(5, 10, 90, 90)
 str(res)
 print(res)
 riskratio(12, 5, 18, 17)
 riskratio(12, 5, 18, 17, p.calc.by.independence=FALSE)

fmsb documentation built on May 29, 2024, 2:02 a.m.