| fixedMetaAnalRROR {CRTSize} | R Documentation |
This function provides a detailed fixed effects meta-analysis of relative risks/odds ratios from a matrix of effect measures, lower and upper confidence limits.
fixedMetaAnalRROR(data, alpha=0.05)
data |
A matrix with individual studies in each row. The first column contains the estimate of the relative risk/odds ratio, second column contains the 95 % lower limit and the third contains the 95 % upper limit. |
alpha |
The desired type I error rate for calculation of confidence limits for the pooled fixed effects measure. For simplicity, this function assumes that each of the inputed lower and upper limits are 95 % confidence limits. |
This function performs an elementary fixed effects meta-analysis of relative risks/odds ratios
from an input matrix of relative risks and their respective confidence limits for
any number of studies. This function is designed to be used in conjunction with n4propsMeta
in order to provide a sample size calculation based on an updated meta-analysis. Note that
this function works on the log scale to calculate variances and the pooled effect measure. Additional utilities
for a meta-analysis or meta-regression can be found in Viechbauer (2006).
data |
The data matrix is returned. |
thetaF |
The fixed effects Log Relative Risk (RR)/Odds Ratio (OR). |
lF |
The 100(1 - α) % lower limit of the pooled Log RR/OR. |
uF |
The 100(1 - α) % upper limit of the pooled Log RR/OR. |
Var |
The variance of the Log RR/OR. |
Sig |
Is the result statistically significant (Binary zero or one)? |
alpha |
The desired type I error rate. |
Michael Rotondi, mrotondi@yorku.ca
Matthews JNS. Introduction to Randomized Controlled Clinical Trials (2nd Ed.) Chapman & Hall: New York, 2006.
Donner A and Klar N. Design and Analysis of Cluster Randomization Trials in Health Research. Arnold: London, 2000.
Viechtbauer, W. Metafor: A meta-analysis package for R. 2010. Available at: http://www.metafor-project.org/
fixedMetaAnalRROR(data=rbind(c(0.672, 0.342, 1.321), c(0.942, 0.761, 1.165), c(1.228, 0.384, 3.934)), alpha=0.05);