summary.multipletables {mmeta} | R Documentation |
multipletables
Summary a model of class multipletables
fitted by multipletables
.
## S3 method for class 'multipletables' summary(object,...)
object |
an object inheriting from class |
... |
additional arguments; currently none is used. |
A list with the following components:
model |
the value of |
measure |
the value of |
cov.matrix |
the estimated covariance matrix of the estimated parameters in the transformed scales |
hessian |
the estimated hessian matrix of the estimated parameters in the transformed scales |
overall |
a list of two components that contain the overall measure (e.g., overall OR) and its 95% equal-tail credible interval. |
studynames |
a character string indicating all the study names |
chi2 |
the chi-square test statistics of the likelihood ratio test |
pvalue |
the p-value of the likelihood ratio test |
alpha |
the value of |
MLE |
a numeric vector of the estimated hyperparameters in the
following order: |
studyspecific |
a Numeric matrix with columns being the posterior means, the lower bound, and the upper bound of the credible/confidence intervals of study-specific and overall measure. |
Luo, S., Chen, Y., Su, X., Chu, H., (2014). mmeta: An R Package for Multivariate Meta-Analysis. Journal of Statistical Software, 56(11), 1-26.
Chen, Y., Luo, S., (2011a). A Few Remarks on "Statistical Distribution of the Difference of Two Proportions' by Nadarajah and Kotz, Statistics in Medicine 2007; 26(18):3518-3523" . Statistics in Medicine, 30(15), 1913-1915.
Chen, Y., Chu, H., Luo, S., Nie, L., and Chen, S. (2014a). Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation. Statistical Methods in Medical Research, doi: 10.1177/0962280211430889. In press.
Chen, Y., Luo, S., Chu, H., Su, X., and Nie, L. (2014b). An empirical Bayes method for multivariate meta-analysis with an application in clinical trials. Communication in Statistics: Theory and Methods. In press.
Chen, Y., Luo, S., Chu, H., Wei, P. (2013). Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials. Statistics in Biopharmaceutical Research, 5(2), 142-155.
multipletables
plot.multipletables
#library(mmeta) # Analyze the dataset colorectal to conduct exact inference of the odds ratios #data(colorectal) #multiple.OR <- multipletables(data=colorectal, measure="OR", model="Sarmanov", method="exact") # Generate the forest plot with 95% CIs of study-specific odds ratios #and 95% CI of overall odds ratio #plot(multiple.OR, type="forest", addline=1) # Plot the posterior density functions of some target studies in an overlaying manner #plot(multiple.OR, type="overlap", select=c(4,14,16,20)) # Plot the posterior density functions of some target studies in a #side-by-side manner #plot(multiple.OR, type="sidebyside", select=c(4,14,16,20), ylim=c(0,2.7), xlim=c(0.5,1.5)) # Analyze the dataset withdrawal to conduct inference of the relative risks #data(withdrawal) #multiple.RR <- multipletables(data=withdrawal, measure="RR",model="Sarmanov") #plot(multiple.RR, type="forest", addline=1) #plot(multiple.RR, type="overlap", select=c(3,8,14,16)) #plot(multiple.RR, type="sidebyside", select=c(3,8,14,16), ylim=c(0,1.2), #xlim=c(0.4,3)) # Analyze the dataset withdrawal to conduct inference of the risk differences #data(withdrawal) #multiple.RD <- multipletables(data=withdrawal, measure="RD", # model="Sarmanov") #summary(multiple.RD) #plot(multiple.RD, type="forest", addline=0) #plot(multiple.RD, type="overlap", select=c(3,8,14,16)) #plot(multiple.RD, type="sidebyside", select=c(3,8,14,16)) #plot(multiple.RD, type="sidebyside", select=c(3,8,14,16), # ylim=c(0,6), xlim=c(-0.2,0.4))