diff --git a/tests/testthat/_snaps/estimate_incidence_rate.md b/tests/testthat/_snaps/estimate_incidence_rate.md
index ba28293ec4..7133820dea 100644
--- a/tests/testthat/_snaps/estimate_incidence_rate.md
+++ b/tests/testthat/_snaps/estimate_incidence_rate.md
@@ -101,6 +101,11 @@
       attr(,"label")
       [1] "90% CI"
       
+      $n_rate
+      [1]  4.00000 44.15823
+      attr(,"label")
+      [1] "Number of adverse events observed (AE rate per 100 patient-years)"
+      
 
 # estimate_incidence_rate works as expected with healthy input
 
@@ -115,3 +120,15 @@
       AE rate per 100 patient-years           26.20             57.23     
       90% CI                              (5.06, 135.73)   (22.14, 147.94)
 
+# estimate_incidence_rate `n_rate` statistic works as expected
+
+    Code
+      res
+    Output
+                                                                             A         B   
+                                                                           (N=3)     (N=3) 
+      —————————————————————————————————————————————————————————————————————————————————————
+      Number of adverse events observed                                      1         3   
+      AE rate per 100 patient-years                                        2.18      4.77  
+      Number of adverse events observed (AE rate per 100 patient-years)   1 (2.2)   3 (4.8)
+
diff --git a/tests/testthat/test-estimate_incidence_rate.R b/tests/testthat/test-estimate_incidence_rate.R
index f83173e1a2..2befdfa96f 100644
--- a/tests/testthat/test-estimate_incidence_rate.R
+++ b/tests/testthat/test-estimate_incidence_rate.R
@@ -109,3 +109,27 @@ testthat::test_that("estimate_incidence_rate works as expected with healthy inpu
   res <- testthat::expect_silent(result)
   testthat::expect_snapshot(res)
 })
+
+testthat::test_that("estimate_incidence_rate `n_rate` statistic works as expected", {
+  df <- data.frame(
+    USUBJID = as.character(seq(6)),
+    CNSR = c(0, 1, 1, 0, 0, 0),
+    AVAL = c(10.1, 20.4, 15.3, 20.8, 18.7, 23.4),
+    ARM = factor(c("A", "A", "A", "B", "B", "B"))
+  ) %>%
+    dplyr::mutate(is_event = CNSR == 0) %>%
+    dplyr::mutate(n_events = as.integer(is_event))
+
+  result <- basic_table() %>%
+    split_cols_by("ARM") %>%
+    add_colcounts() %>%
+    estimate_incidence_rate(
+      vars = "AVAL",
+      n_events = "n_events",
+      .stats = c("n_events", "rate", "n_rate")
+    ) %>%
+    build_table(df)
+
+  res <- testthat::expect_silent(result)
+  testthat::expect_snapshot(res)
+})