diff --git a/R/model_performance.rma.R b/R/model_performance.rma.R
index 413f5c9ea..d7fd37e09 100644
--- a/R/model_performance.rma.R
+++ b/R/model_performance.rma.R
@@ -18,7 +18,7 @@
 #'
 #'   - **AIC** Akaike's Information Criterion, see `?stats::AIC`
 #'
-#'   - **BIC** {Bayesian Information Criterion, see `?stats::BIC`}
+#'   - **BIC** Bayesian Information Criterion, see `?stats::BIC`
 #'
 #'    - **I2**: For a random effects model, `I2` estimates (in
 #'    percent) how much of the total variability in the effect size estimates
diff --git a/man/model_performance.rma.Rd b/man/model_performance.rma.Rd
index 787b4d8c7..a035378ed 100644
--- a/man/model_performance.rma.Rd
+++ b/man/model_performance.rma.Rd
@@ -40,7 +40,7 @@ Compute indices of model performance for meta-analysis model from the
 \subsection{Indices of fit}{
 \itemize{
 \item \strong{AIC} Akaike's Information Criterion, see \code{?stats::AIC}
-\item \strong{BIC} {Bayesian Information Criterion, see \code{?stats::BIC}}
+\item \strong{BIC} Bayesian Information Criterion, see \code{?stats::BIC}
 \item \strong{I2}: For a random effects model, \code{I2} estimates (in
 percent) how much of the total variability in the effect size estimates
 can be attributed to heterogeneity among the true effects. For a