fmsb: riskdifference – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

riskdifference

Calculate risk difference and its confidence intervals

Description

Calculate risk difference (a kind of attributable risk / excess risk) and its confidence intervals based on approximation, followed by null hypothesis (risk difference equals to 0) testing.

Usage

riskdifference(a, b, N1, N0, CRC=FALSE, conf.level=0.95)

Arguments

`a`	The number of disease occurence among exposed cohort.
`b`	The number of disease occurence among non-exposed cohort.
`N1`	The population at risk of the exposed cohort.
`N0`	The population at risk of the unexposed cohort.
`CRC`	Logical. If TRUE, calculate confidence intervals for each risk. Default is FALSE.
`conf.level`	Probability for confidence intervals. Default is 0.95.

Value

`estimate`	Calculated point estimate of risk difference.
`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 minato-nakazawa@umin.net http://minato.sip21c.org/

References

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

Examples

res <- riskdifference(321, 411, 686, 689, CRC=TRUE)
 str(res)
 print(res)

fmsb

Functions for Medical Statistics Book with some Demographic Data

v0.7.1

GPL (>= 2)

Authors

Minato Nakazawa <minato-nakazawa@umin.net>

Initial release

2021-05-09