diff --git a/R/censored-package.R b/R/censored-package.R
index 86c1b6d7..7e1829cd 100644
--- a/R/censored-package.R
+++ b/R/censored-package.R
@@ -58,7 +58,7 @@ NULL
 
 utils::globalVariables(
   c(
-    "time", ".time", "object", "new_data", ".label", ".pred", ".cuts",
+    "eval_time", ".time", "object", "new_data", ".label", ".pred", ".cuts",
     ".id", ".tmp", "engine", "predictor_indicators", ".strata", "group",
     ".pred_quantile", ".quantile", "interval", "level", ".pred_linear_pred",
     ".pred_link", ".pred_time", ".pred_survival", "next_event_time",
diff --git a/R/proportional_hazards-data.R b/R/proportional_hazards-data.R
index 0d433148..df6c9aa6 100644
--- a/R/proportional_hazards-data.R
+++ b/R/proportional_hazards-data.R
@@ -82,7 +82,7 @@ make_proportional_hazards_survival <- function() {
         list(
           x = quote(object$fit),
           new_data = quote(new_data),
-          time = rlang::expr(eval_time),
+          eval_time = rlang::expr(eval_time),
           output = "surv",
           interval = expr(interval),
           conf.int = expr(level)
diff --git a/tests/testthat/test-partykit.R b/tests/testthat/test-partykit.R
index 15540cfe..d909db55 100644
--- a/tests/testthat/test-partykit.R
+++ b/tests/testthat/test-partykit.R
@@ -16,22 +16,22 @@ test_that("survival_prob_partykit() works for ctree", {
     times = pred_time,
     extend = TRUE
   ) %>%
-    combine_list_of_survfit_summary(time = pred_time)
+    combine_list_of_survfit_summary(eval_time = pred_time)
 
-  prob <- survival_prob_partykit(mod, new_data = lung_pred, time = pred_time) %>%
+  prob <- survival_prob_partykit(mod, new_data = lung_pred, eval_time = pred_time) %>%
     tidyr::unnest(cols = .pred)
   exp_prob <- surv_fit_summary$surv
 
   expect_equal(
-    prob$.time,
+    prob$.eval_time,
     rep(pred_time, nrow(lung_pred))
   )
   expect_equal(
-    prob %>% dplyr::filter(is.infinite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.infinite(.eval_time)) %>% dplyr::pull(.pred_survival),
     rep(c(1, 0), nrow(lung_pred))
   )
   expect_equal(
-    prob %>% dplyr::filter(is.finite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.finite(.eval_time)) %>% dplyr::pull(.pred_survival),
     as.vector(exp_prob)
   )
 
@@ -44,25 +44,25 @@ test_that("survival_prob_partykit() works for ctree", {
     times = pred_time,
     extend = TRUE
   ) %>%
-    combine_list_of_survfit_summary(time = pred_time)
+    combine_list_of_survfit_summary(eval_time = pred_time)
 
-  prob <- survival_prob_partykit(mod, new_data = lung_pred, time = pred_time) %>%
+  prob <- survival_prob_partykit(mod, new_data = lung_pred, eval_time = pred_time) %>%
     tidyr::unnest(cols = .pred)
   exp_prob <- surv_fit_summary$surv
 
   expect_equal(
-    prob %>% dplyr::filter(is.infinite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.infinite(.eval_time)) %>% dplyr::pull(.pred_survival),
     c(1, 0)
   )
   expect_equal(
-    prob %>% dplyr::filter(is.finite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.finite(.eval_time)) %>% dplyr::pull(.pred_survival),
     as.vector(exp_prob)
   )
 
   # all observations with missings
   lung_pred <- lung[c(14, 14), ]
 
-  prob <- survival_prob_partykit(mod, new_data = lung_pred, time = pred_time) %>%
+  prob <- survival_prob_partykit(mod, new_data = lung_pred, eval_time = pred_time) %>%
     tidyr::unnest(cols = .pred)
 
   expect_true(all(!is.na(prob$.pred_survival)))
@@ -87,23 +87,23 @@ test_that("survival_prob_partykit() works for cforest", {
     times = pred_time,
     extend = TRUE
   ) %>%
-    combine_list_of_survfit_summary(time = pred_time)
+    combine_list_of_survfit_summary(eval_time = pred_time)
 
   set.seed(1234)
-  prob <- survival_prob_partykit(mod, new_data = lung_pred, time = pred_time) %>%
+  prob <- survival_prob_partykit(mod, new_data = lung_pred, eval_time = pred_time) %>%
     tidyr::unnest(cols = .pred)
   exp_prob <- surv_fit_summary$surv
 
   expect_equal(
-    prob$.time,
+    prob$.eval_time,
     rep(pred_time, nrow(lung_pred))
   )
   expect_equal(
-    prob %>% dplyr::filter(is.infinite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.infinite(.eval_time)) %>% dplyr::pull(.pred_survival),
     rep(c(1, 0), nrow(lung_pred))
   )
   expect_equal(
-    prob %>% dplyr::filter(is.finite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.finite(.eval_time)) %>% dplyr::pull(.pred_survival),
     as.vector(exp_prob)
   )
 
@@ -117,26 +117,26 @@ test_that("survival_prob_partykit() works for cforest", {
     times = pred_time,
     extend = TRUE
   ) %>%
-    combine_list_of_survfit_summary(time = pred_time)
+    combine_list_of_survfit_summary(eval_time = pred_time)
 
   set.seed(1234)
-  prob <- survival_prob_partykit(mod, new_data = lung_pred, time = pred_time) %>%
+  prob <- survival_prob_partykit(mod, new_data = lung_pred, eval_time = pred_time) %>%
     tidyr::unnest(cols = .pred)
   exp_prob <- surv_fit_summary$surv
 
   expect_equal(
-    prob %>% dplyr::filter(is.infinite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.infinite(.eval_time)) %>% dplyr::pull(.pred_survival),
     c(1, 0)
   )
   expect_equal(
-    prob %>% dplyr::filter(is.finite(.time)) %>% dplyr::pull(.pred_survival),
+    prob %>% dplyr::filter(is.finite(.eval_time)) %>% dplyr::pull(.pred_survival),
     as.vector(exp_prob)
   )
 
   # all observations with missings
   lung_pred <- lung[c(14, 14), ]
 
-  prob <- survival_prob_partykit(mod, new_data = lung_pred, time = pred_time) %>%
+  prob <- survival_prob_partykit(mod, new_data = lung_pred, eval_time = pred_time) %>%
     tidyr::unnest(cols = .pred)
 
   expect_true(all(!is.na(prob$.pred_survival)))
diff --git a/tests/testthat/test-proportional_hazards-survival.R b/tests/testthat/test-proportional_hazards-survival.R
index badf71eb..689a0a6b 100644
--- a/tests/testthat/test-proportional_hazards-survival.R
+++ b/tests/testthat/test-proportional_hazards-survival.R
@@ -529,7 +529,7 @@ test_that("predictions with strata and dot in formula", {
     {
       predict(f_fit, lung2, type = "time")
       predict(f_fit, lung2, type = "linear_pred")
-      predict(f_fit, lung2, type = "survival", time = c(100, 300))
+      predict(f_fit, lung2, type = "survival", eval_time = c(100, 300))
     },
     NA
   )
@@ -542,8 +542,8 @@ test_that("predictions with strata and dot in formula", {
     predict(f_fit_2, lung2, type = "linear_pred")
   )
   expect_equal(
-    predict(f_fit, lung2, type = "survival", time = c(100, 300)),
-    predict(f_fit_2, lung2, type = "survival", time = c(100, 300))
+    predict(f_fit, lung2, type = "survival", eval_time = c(100, 300)),
+    predict(f_fit_2, lung2, type = "survival", eval_time = c(100, 300))
   )
 })
 
diff --git a/tests/testthat/test-survival_reg-survival.R b/tests/testthat/test-survival_reg-survival.R
index 673910e7..3629cd20 100644
--- a/tests/testthat/test-survival_reg-survival.R
+++ b/tests/testthat/test-survival_reg-survival.R
@@ -191,7 +191,7 @@ test_that("`fix_xy()` works", {
     f_fit,
     new_data = lung_pred,
     type = "hazard",
-    time = c(100, 200)
+    eval_time = c(100, 200)
   )
   xy_pred_hazard <- predict(
     xy_fit,