prop.RR: prop.RR
In prop.comb.RR: Analyzing Combination of Proportions and Relative Risk

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/prop.RR.R

Main function for making inferences (confidence intervals and tests) about the relative risk using optimal methods from the literature and score method.

1 2	prop.RR(x, n, rho = NULL, alternative = c("two.sided", "less", "greater"), conf.level = 0.95, coverage = FALSE, nrep = 1000)

`x`	a vector of counts of successes.
`n`	a vector of counts of samples sizes.
`rho`	hypothesized true value of the relative risk.
`alternative`	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
`conf.level`	confidence level of the returned confidence interval.
`coverage`	coverage probability of the confidence interval.
`nrep`	number of replays to calculate the estimated coverage probabilities

Returns a list with the following components:

`estimate`	a vector with the sample proportions x/n.
`RR`	estimated relative risk.
`inference`	confidence intervals (lower limit, upper limit) and p-values of the test (with z-values of statistics. The coverage probabilities are included when the user requests them.
`alternative`	a character string describing the alternative hypothesis.
`rho`	hypothesized true value of the relative risk.
`x`	number of successes.
`n`	number of trials.
`conf.level`	confidence level of the confidence interval.
`recommendation`	recommended method by references.

Maria Alvarez Hernandez and Javier Roca Pardinas

Woolf, B. (1955). "On estimating the realtion between blood group disease." Annals of Human Genetics 19, 25-352.

Martin, A. & Alvarez, M. (2014). "Two-tailed approximate confidence intervals for the ratio of proportions." Statistics and Computing 24, 65 - 75.

Alvarez, M. & Martin, A. (2015). "New asymptotic inferences about the difference, ratio and linear combination of two independent proportions." Communications in Statistics - Simulation and Computation (in press).

prop.comb for inferences about a linear combination of K proportions

# The Relative Risk was used by Maxwell (1961) for the following data related to 
# the rate of occurrence of virus infection among the group of the non-inoculated 
# and the group of the inoculated. The objetive is to obtain an approximate 
# confidence interval for RR.

prop.RR(x=c(11, 48), n=c(46, 102), conf.level=0.99)

# Price and Bonnet (2008) reviewed a study in which the aim is to prove if
# the effect of the beta-blocker could be highly beneficial or slightly detrimental.

x=c(7, 14); n=c(114, 116); prop.RR(x, n, rho=2)