diff --git a/R/MeasureSurvChamblessAUC.R b/R/MeasureSurvChamblessAUC.R
index 15071a89..3d469ac6 100644
--- a/R/MeasureSurvChamblessAUC.R
+++ b/R/MeasureSurvChamblessAUC.R
@@ -15,6 +15,7 @@
 #'
 #' @family AUC survival measures
 #' @family lp survival measures
+#' @template example_auc_measures
 #' @export
 MeasureSurvChamblessAUC = R6Class("MeasureSurvChamblessAUC",
   inherit = MeasureSurvAUC,
diff --git a/R/MeasureSurvHungAUC.R b/R/MeasureSurvHungAUC.R
index 91141cd9..c8cf41ce 100644
--- a/R/MeasureSurvHungAUC.R
+++ b/R/MeasureSurvHungAUC.R
@@ -15,6 +15,7 @@
 #'
 #' @family AUC survival measures
 #' @family lp survival measures
+#' @template example_auc_measures
 #' @export
 MeasureSurvHungAUC = R6Class("MeasureSurvHungAUC",
   inherit = MeasureSurvAUC,
diff --git a/R/MeasureSurvSongAUC.R b/R/MeasureSurvSongAUC.R
index 401a1888..ee79ec93 100644
--- a/R/MeasureSurvSongAUC.R
+++ b/R/MeasureSurvSongAUC.R
@@ -16,6 +16,7 @@
 #'
 #' @family AUC survival measures
 #' @family lp survival measures
+#' @template example_auc_measures
 #' @export
 MeasureSurvSongAUC = R6Class("MeasureSurvSongAUC",
   inherit = MeasureSurvAUC,
diff --git a/R/MeasureSurvUnoAUC.R b/R/MeasureSurvUnoAUC.R
index b1565944..9c5c3ffe 100644
--- a/R/MeasureSurvUnoAUC.R
+++ b/R/MeasureSurvUnoAUC.R
@@ -16,6 +16,7 @@
 #'
 #' @family AUC survival measures
 #' @family lp survival measures
+#' @template example_auc_measures
 #' @export
 MeasureSurvUnoAUC = R6Class("MeasureSurvUnoAUC",
   inherit = MeasureSurvAUC,
diff --git a/man-roxygen/example_auc_measures.R b/man-roxygen/example_auc_measures.R
new file mode 100644
index 00000000..c229fa96
--- /dev/null
+++ b/man-roxygen/example_auc_measures.R
@@ -0,0 +1,27 @@
+#' <% measure = suppressWarnings(get(fullname)$new()) %>
+#'
+#' @examples
+#' library(mlr3)
+#'
+#' # Define a survival Task
+#' task = tsk("lung")
+#'
+#' # Create train and test set
+#' part = partition(task)
+#'
+#' # Train Cox learner on the train set
+#' cox = lrn("surv.coxph")
+#' cox$train(task, row_ids = part$train)
+#'
+#' # Make predictions for the test set
+#' p = cox$predict(task, row_ids = part$test)
+#'
+#' # Integrated AUC score
+#' p$score(msr("<%=measure$id%>"), task = task, train_set = part$train, learner = cox)
+#'
+#' # AUC at specific time point
+#' p$score(msr("<%=measure$id%>", times = 600), task = task, train_set = part$train, learner = cox)
+#'
+#' # Integrated AUC at specific time points
+#' p$score(msr("<%=measure$id%>", times = c(100, 200, 300, 400, 500)), task = task, train_set = part$train, learner = cox)
+#'
diff --git a/man/mlr_measures_surv.chambless_auc.Rd b/man/mlr_measures_surv.chambless_auc.Rd
index 6b8476ac..88e68bca 100644
--- a/man/mlr_measures_surv.chambless_auc.Rd
+++ b/man/mlr_measures_surv.chambless_auc.Rd
@@ -61,6 +61,32 @@ If \code{integrated == FALSE} then a single time point at which to return the sc
 }
 }
 
+\examples{
+library(mlr3)
+
+# Define a survival Task
+task = tsk("lung")
+
+# Create train and test set
+part = partition(task)
+
+# Train Cox learner on the train set
+cox = lrn("surv.coxph")
+cox$train(task, row_ids = part$train)
+
+# Make predictions for the test set
+p = cox$predict(task, row_ids = part$test)
+
+# Integrated AUC score
+p$score(msr("surv.chambless_auc"), task = task, train_set = part$train, learner = cox)
+
+# AUC at specific time point
+p$score(msr("surv.chambless_auc", times = 600), task = task, train_set = part$train, learner = cox)
+
+# Integrated AUC at specific time points
+p$score(msr("surv.chambless_auc", times = c(100, 200, 300, 400, 500)), task = task, train_set = part$train, learner = cox)
+
+}
 \references{
 Chambless LE, Diao G (2006).
 \dQuote{Estimation of time-dependent area under the ROC curve for long-term risk prediction.}
diff --git a/man/mlr_measures_surv.hung_auc.Rd b/man/mlr_measures_surv.hung_auc.Rd
index e5207db4..3f05b93c 100644
--- a/man/mlr_measures_surv.hung_auc.Rd
+++ b/man/mlr_measures_surv.hung_auc.Rd
@@ -61,6 +61,32 @@ If \code{integrated == FALSE} then a single time point at which to return the sc
 }
 }
 
+\examples{
+library(mlr3)
+
+# Define a survival Task
+task = tsk("lung")
+
+# Create train and test set
+part = partition(task)
+
+# Train Cox learner on the train set
+cox = lrn("surv.coxph")
+cox$train(task, row_ids = part$train)
+
+# Make predictions for the test set
+p = cox$predict(task, row_ids = part$test)
+
+# Integrated AUC score
+p$score(msr("surv.hung_auc"), task = task, train_set = part$train, learner = cox)
+
+# AUC at specific time point
+p$score(msr("surv.hung_auc", times = 600), task = task, train_set = part$train, learner = cox)
+
+# Integrated AUC at specific time points
+p$score(msr("surv.hung_auc", times = c(100, 200, 300, 400, 500)), task = task, train_set = part$train, learner = cox)
+
+}
 \references{
 Hung H, Chiang C (2010).
 \dQuote{Estimation methods for time-dependent AUC models with survival data.}
diff --git a/man/mlr_measures_surv.song_auc.Rd b/man/mlr_measures_surv.song_auc.Rd
index f57df554..deceab50 100644
--- a/man/mlr_measures_surv.song_auc.Rd
+++ b/man/mlr_measures_surv.song_auc.Rd
@@ -69,6 +69,32 @@ incident TPR, \code{cumulative} refers to cumulative TPR.
 }
 }
 
+\examples{
+library(mlr3)
+
+# Define a survival Task
+task = tsk("lung")
+
+# Create train and test set
+part = partition(task)
+
+# Train Cox learner on the train set
+cox = lrn("surv.coxph")
+cox$train(task, row_ids = part$train)
+
+# Make predictions for the test set
+p = cox$predict(task, row_ids = part$test)
+
+# Integrated AUC score
+p$score(msr("surv.song_auc"), task = task, train_set = part$train, learner = cox)
+
+# AUC at specific time point
+p$score(msr("surv.song_auc", times = 600), task = task, train_set = part$train, learner = cox)
+
+# Integrated AUC at specific time points
+p$score(msr("surv.song_auc", times = c(100, 200, 300, 400, 500)), task = task, train_set = part$train, learner = cox)
+
+}
 \references{
 Song, Xiao, Zhou, Xiao-Hua (2008).
 \dQuote{A semiparametric approach for the covariate specific ROC curve with survival outcome.}
diff --git a/man/mlr_measures_surv.uno_auc.Rd b/man/mlr_measures_surv.uno_auc.Rd
index 5536ad7a..b4206ac2 100644
--- a/man/mlr_measures_surv.uno_auc.Rd
+++ b/man/mlr_measures_surv.uno_auc.Rd
@@ -61,6 +61,32 @@ If \code{integrated == FALSE} then a single time point at which to return the sc
 }
 }
 
+\examples{
+library(mlr3)
+
+# Define a survival Task
+task = tsk("lung")
+
+# Create train and test set
+part = partition(task)
+
+# Train Cox learner on the train set
+cox = lrn("surv.coxph")
+cox$train(task, row_ids = part$train)
+
+# Make predictions for the test set
+p = cox$predict(task, row_ids = part$test)
+
+# Integrated AUC score
+p$score(msr("surv.uno_auc"), task = task, train_set = part$train, learner = cox)
+
+# AUC at specific time point
+p$score(msr("surv.uno_auc", times = 600), task = task, train_set = part$train, learner = cox)
+
+# Integrated AUC at specific time points
+p$score(msr("surv.uno_auc", times = c(100, 200, 300, 400, 500)), task = task, train_set = part$train, learner = cox)
+
+}
 \references{
 Uno H, Cai T, Tian L, Wei LJ (2007).
 \dQuote{Evaluating Prediction Rules fort-Year Survivors With Censored Regression Models.}