meta.score {rmeta} | R Documentation |
Computes individual relative risks, a summary relative risk, and confidence intervals. The confidence intervals are based on inverting the score test (similar to the so-called "Cornfield" method for odd ratios).
meta.score(ntrt, nctrl, ptrt, pctrl, conf.level = 0.95, names = NULL, data = NULL, subset = NULL, na.action = na.fail, statistic = "RR", control = 1.5) ## S3 method for class 'meta.score': summary(object,...)
ntrt |
Number of subjects in treated/exposed group |
nctrl |
Number of subjects in control group |
ptrt |
Number of events in treated/exposed group |
pctrl |
Number of events in control group |
names |
names or labels for studies |
data |
data frame to interpret variables |
subset |
subset of studies to include |
na.action |
a function which indicates what should happen when
the data contain NA s. Defaults to na.fail . |
statistic |
"RR" for relative risk is currently the only option |
control |
used to set search limits in finding interval endpoints |
conf.level |
Confidence level for intervals |
object |
meta.score object |
... |
For future expansion |
An object of class meta.MH
with print
,
and summary
methods.
The correction for skewness described in the reference is not yet implemented.
Gart JJ, Nam J. (1988) "Approximate Interval Estimation of the Ratio of Binomial Parameters: A review and corrections for skewness". Biometrics 44(2) 323–338
## From Gart and Nam mice<-data.frame(n1=c(16, 16, 18, 15), n0 = c(79, 87, 90, 82), x1 = c(4, 2, 4, 1), x0 = c(5, 3, 10, 3) ) summary(meta.score(ntrt=n1,nctrl=n0,ptrt=x1,pctrl=x0,data=mice))