diff --git a/R/summarize_coxreg.R b/R/summarize_coxreg.R
index a43e68fb4e..c0856f6ee4 100644
--- a/R/summarize_coxreg.R
+++ b/R/summarize_coxreg.R
@@ -104,7 +104,8 @@ NULL
 #' df2 <- broom::tidy(multivar_model)
 #' s_coxreg(model_df = df2, .stats = "pval", .which_vars = "var_main", .var_nms = "COVAR1")
 #' s_coxreg(
-#'   model_df = df2, .stats = "pval", .which_vars = "multi_lvl", .var_nms = c("COVAR1", "A Covariate Label")
+#'   model_df = df2, .stats = "pval", .which_vars = "multi_lvl",
+#'   .var_nms = c("COVAR1", "A Covariate Label")
 #' )
 #'
 #' # Multivariable without treatment arm - only "COVAR1" main effect
diff --git a/man/cox_regression.Rd b/man/cox_regression.Rd
index 85d22c4065..1f8f04e996 100644
--- a/man/cox_regression.Rd
+++ b/man/cox_regression.Rd
@@ -191,7 +191,8 @@ multivar_model <- fit_coxreg_multivar(variables = m1_variables, data = dta_bladd
 df2 <- broom::tidy(multivar_model)
 s_coxreg(model_df = df2, .stats = "pval", .which_vars = "var_main", .var_nms = "COVAR1")
 s_coxreg(
-  model_df = df2, .stats = "pval", .which_vars = "multi_lvl", .var_nms = c("COVAR1", "A Covariate Label")
+  model_df = df2, .stats = "pval", .which_vars = "multi_lvl",
+  .var_nms = c("COVAR1", "A Covariate Label")
 )
 
 # Multivariable without treatment arm - only "COVAR1" main effect