HC_A0_2_Al_Au {si4bayesmeta} | R Documentation |
Returns the epsilon-grid for HC(A0
) heterogeneity prior according to Ott et al. (2019).
HC_A0_2_Al_Au(AA0, eps = grid_epsilon)
AA0 |
scale parameter of the base HC distribution |
eps |
epsilon for the epsilon grid |
Local epsilon-grid for the HC distribution which consists of two scale parameters AAl
and AAu
such that
H(HC(AAl), HC(AA0))=eps,
H(HC(AAu), HC(AA0))=eps.
See more details in Ott et al. (2019).
A vector of two scale parameters AAl
and AAu
, that is, the local epsilon-grid for the HC distribution which consists of two scale parameters AAl
and AAu
.
Ott, M., Hunanyan, S., Held, L., Roos, M. (2019). The relative latent model complexity adjustment for heterogeneity prior specification in Bayesian meta-analysis. Research Synthesis Methods (under revision).
# Acute Graft rejection (AGR) data analyzed in Friede et al. (2017), # Sect. 3.2, URL: https://doi.org/10.1002/bimj.201500236 # First study: experimental group: 14 cases out of 61; # control group: 15 cases out of 20 # Second study: experimental group: 4 cases out of 36; # control group: 11 cases out of 36 rT<-c(14,4) nT<-c(61,36) rC<-c(15,11) nC<-c(20,36) df = data.frame(y = log((rT*(nC-rC))/(rC*(nT-rT))), sigma = sqrt(1/rT+1/(nT-rT)+1/rC+1/(nC-rC)), labels = c(1:2)) tau_HC_rlmc025_s <- pri_par_adjust_HC(df=df, rlmc=0.25, tail_prob=0.5)$p_HC HC_A0_2_Al_Au(AA0=tau_HC_rlmc025_s, eps=0.00354)