| summary.riley {metamisc} | R Documentation |
Parameter summaries Provides the summary estimates of the alternative model for bivariate random-effects meta-analysis by Riley et al. (2008) with their corresponding standard errors (derived from the inverse Hessian). For confidence intervals, asymptotic normality is assumed.
Description
Parameter summaries Provides the summary estimates of the alternative model for bivariate random-effects meta-analysis by Riley et al. (2008) with their corresponding standard errors (derived from the inverse Hessian). For confidence intervals, asymptotic normality is assumed.
Usage
## S3 method for class 'riley'
summary(object, ...)
Arguments
object |
A |
... |
Arguments to be passed on to other functions (currently ignored) |
Details
For meta-analysis of diagnostic test accuracy data, beta1 equals the logit sensitivity (Sens) and
beta2 equals the logit false positive rate (FPR).
Value
array with confidence intervals for the estimated model parameters. For diagnostic test accuracy data, the resulting summary sensitivity and false positive rate are included.
Note
For the overall correlation (rho) confidence intervals are derived using the transformation
logit((rho+1)/2). Similarly, the logit transformation is used to derive confidence intervals for the summary
sensitivity and false positive rate.
Author(s)
Thomas Debray <thomas.debray@gmail.com>
References
Riley RD, Thompson JR, Abrams KR. An alternative model for bivariate random-effects meta-analysis when the within-study correlations are unknown. Biostatistics 2008; 9: 172–186.