pexfix: Pooled excess risk estimate using the fixed effect model...

Description Usage Arguments Value Examples

View source: R/pexfix.R

Description

Fixed effect model for standard meta-analysis of excess relative risk (ERR) or excess odds ratio (EOR) estimates.

Usage

1
pexfix(err, u, l, conf.level = 0.95)

Arguments

err

A numeric vector of the risk estimated from the individual studies

u

A numeric vector of the upper bound of the confidence interval of the risk reported from the individual studies.

l

A numeric vector of the lower bound of the confidence interval of the risk reported from the individual studies.

conf.level

Coverage for confidence interval

Value

Object of class "metaan.era". A list that print the output from the pexfix function. The following could be found from the list :

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
study <- c("Canada", "Northern USA", "Chicago", "Georgia","Puerto", "Comm",
"Madanapalle", "UK", "South Africa", "Haiti", "Madras")
Risk <- c(0.205, 0.411, 0.254, 1.562, 0.712, 0.983, 0.804, 0.237, 0.625,
0.198, 1.012)
lower_ci <- c(0.086, 0.134, 0.149, 0.374, 0.573, 0.582, 0.516, 0.179,
0.393, 0.078, 0.895)
upper_ci <- c(0.486, 1.257, 0.431, 6.528, 0.886, 1.659, 1.254, 0.312,
0.996, 0.499, 1.145)

donne <- data.frame(cbind(study, Risk, lower_ci, upper_ci))

donne$Risk <- as.numeric(as.character(donne$Risk))
donne$upper_ci <- as.numeric(as.character(donne$upper_ci))
donne$lower_ci <- as.numeric(as.character(donne$lower_ci))

pexfix(err=donne$Risk, u=donne$upper_ci, l=donne$lower_ci,
 conf.level=0.95)

Package-Metaan-Rep/Metaan documentation built on Dec. 28, 2021, 6:40 a.m.