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.
# S3 method for riley
summary(object, ...)
array with confidence intervals for the estimated model parameters. For diagnostic test accuracy data, the resulting summary sensitivity and false positive rate are included.
A riley
object
Arguments to be passed on to other functions (currently ignored)
Thomas Debray <thomas.debray@gmail.com>
For meta-analysis of diagnostic test accuracy data, beta1
equals the logit sensitivity (Sens) and
beta2
equals the logit false positive rate (FPR).
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.