diff --git a/DESCRIPTION b/DESCRIPTION
index f2e66a110..7143ed771 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: cardx
 Title: Extra Analysis Results Data Utilities
-Version: 0.1.0.9042
+Version: 0.1.0.9043
 Authors@R: c(
     person("Daniel", "Sjoberg", , "danield.sjoberg@gmail.com", role = c("aut", "cre")),
     person("Abinaya", "Yogasekaram", , "abinaya.yogasekaram@contractors.roche.com", role = "aut"),
@@ -18,7 +18,7 @@ BugReports: https://github.com/insightsengineering/cardx/issues
 Depends:
     R (>= 4.1)
 Imports:
-    cards (>= 0.1.0.9014),
+    cards (>= 0.1.0.9026),
     cli (>= 3.6.1),
     dplyr (>= 1.1.2),
     glue (>= 1.6.2),
@@ -33,13 +33,13 @@ Suggests:
     effectsize (>= 0.6.0),
     emmeans (>= 1.7.3),
     geepack (>= 1.3.2),
-    ggsurvfit (>= 1.0.0),
+    ggsurvfit (>= 1.1.0),
     lme4 (>= 1.1-31),
     parameters (>= 0.20.2),
     smd (>= 0.6.6),
     spelling,
     survey (>= 4.1),
-    survival (>= 3.2-11),
+    survival (>= 3.6-4),
     testthat (>= 3.2.0),
     withr (>= 2.5.0)
 Remotes: 
diff --git a/NAMESPACE b/NAMESPACE
index d1e1abdba..f222cfdee 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,5 +1,7 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method(ard_attributes,survey.design)
+S3method(ard_continuous,survey.design)
 S3method(ard_regression,default)
 S3method(ard_stats_anova,anova)
 S3method(ard_stats_anova,data.frame)
@@ -9,13 +11,18 @@ export("%>%")
 export(all_of)
 export(any_of)
 export(ard_aod_wald_test)
+export(ard_attributes)
 export(ard_car_anova)
 export(ard_car_vif)
+export(ard_categorical)
+export(ard_continuous)
+export(ard_dichotomous)
 export(ard_effectsize_cohens_d)
 export(ard_effectsize_hedges_g)
 export(ard_effectsize_paired_cohens_d)
 export(ard_effectsize_paired_hedges_g)
 export(ard_emmeans_mean_difference)
+export(ard_missing)
 export(ard_proportion_ci)
 export(ard_regression)
 export(ard_regression_basic)
@@ -33,9 +40,10 @@ export(ard_stats_paired_t_test)
 export(ard_stats_paired_wilcox_test)
 export(ard_stats_prop_test)
 export(ard_stats_t_test)
+export(ard_stats_t_test_onesample)
 export(ard_stats_wilcox_test)
+export(ard_stats_wilcox_test_onesample)
 export(ard_survey_svychisq)
-export(ard_survey_svycontinuous)
 export(ard_survey_svyranktest)
 export(ard_survey_svyttest)
 export(ard_survival_survdiff)
@@ -60,6 +68,11 @@ export(reformulate2)
 export(starts_with)
 export(where)
 import(rlang)
+importFrom(cards,ard_attributes)
+importFrom(cards,ard_categorical)
+importFrom(cards,ard_continuous)
+importFrom(cards,ard_dichotomous)
+importFrom(cards,ard_missing)
 importFrom(dplyr,"%>%")
 importFrom(dplyr,across)
 importFrom(dplyr,all_of)
diff --git a/NEWS.md b/NEWS.md
index 2459929a0..7b8e77c93 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# cardx 0.1.0.9042
+# cardx 0.1.0.9043
 
 ### Breaking Changes
 
@@ -30,12 +30,15 @@ ard_moodtest()          -> ard_stats_mood_test()
   - `ard_regression_basic()` for basic regression models. The function focuses on matching terms to underlying variables names. (#46)
   - `ard_smd_smd()` for calculating standardized mean differences using `smd::smd()`. (#4)
   - `ard_survival_survfit()` for survival analyses using `survival::survfit()`. (#43)
-  - `ard_survey_svycontinuous()` for calculating univariate summary statistics from weighted/survey data using many functions from the {survey} package. (#68)
+  - `ard_continuous.survey.design()` for calculating univariate summary statistics from weighted/survey data using many functions from the {survey} package. (#68)
+  - `ard_attributes.survey.design()` for summarizing labels and attributes from weighted/survey data using many functions from the {survey} package.
   - `ard_survey_svychisq()` for weighted/survey chi-squared test using `survey::svychisq()`. (#72)
   - `ard_survey_svyttest()` for weighted/survey t-tests using `survey::svyttest()`. (#70)
   - `ard_survey_svyranktest()` for weighted/survey rank tests using `survey::svyranktest()`. (#71)
   - `ard_car_vif()` for calculating the variance inflation factor using `car::vif()`. (#10)
   - `ard_emmeans_mean_difference()` for calculating the least-squares mean differences using the {emmeans} package. (#34)
+  - `ard_stats_wilcox_test_onesample()` for calculating one-sample results.
+  - `ard_stats_t_test_onesample()` for calculating one-sample results.
 
 * Updated functions `ard_stats_t_test()`, `ard_stats_paired_t_test()`, `ard_stats_wilcox_test()`, `ard_stats_paired_wilcox_test()`, `ard_stats_chisq_test()`, `ard_stats_fisher_test()`, `ard_stats_kruskal_test()`, `ard_stats_mcnemar_test()`, and `ard_stats_mood_test()` to accept multiple variables at once. Independent tests are calculated for each variable. The `variable` argument is renamed to `variables`. (#77)
 
diff --git a/R/ard_attributes.survey.design.R b/R/ard_attributes.survey.design.R
new file mode 100644
index 000000000..b3f069768
--- /dev/null
+++ b/R/ard_attributes.survey.design.R
@@ -0,0 +1,37 @@
+#' ARD Attributes
+#'
+#' @description
+#' Add variable attributes to an ARD data frame.
+#' - The `label` attribute will be added for all columns, and when no label
+#'   is specified and no label has been set for a column using the `label=` argument,
+#'   the column name will be placed in the label statistic.
+#' - The `class` attribute will also be returned for all columns.
+#' - Any other attribute returned by `attributes()` will also be added, e.g. factor levels.
+#'
+#' @rdname ard_attributes
+#' @param data (`survey.design`)\cr
+#'   a design object often created with [`survey::svydesign()`].
+#' @param variables ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
+#'   variables to include
+#' @param label (named `list`)\cr
+#'   named list of variable labels, e.g. `list(cyl = "No. Cylinders")`.
+#'   Default is `NULL`
+#' @inheritParams rlang::args_dots_empty
+#'
+#' @return an ARD data frame of class 'card'
+#' @export
+#'
+#' @examplesIf do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "survey", reference_pkg = "cardx"))
+#' data(api, package = "survey")
+#' dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
+#'
+#' ard_attributes(
+#'   data = dclus1,
+#'   variables = c(sname, dname),
+#'   label = list(sname = "School Name", dname = "District Name")
+#' )
+ard_attributes.survey.design <- function(data, variables = everything(), label = NULL, ...) {
+  set_cli_abort_call()
+
+  cards::ard_attributes(data = data[["variables"]], variables = {{ variables }}, label = label, ...)
+}
diff --git a/R/ard_survey_svycontinuous.R b/R/ard_continuous.survey.design.R
similarity index 95%
rename from R/ard_survey_svycontinuous.R
rename to R/ard_continuous.survey.design.R
index 16d51fd5d..77c5b2b84 100644
--- a/R/ard_survey_svycontinuous.R
+++ b/R/ard_continuous.survey.design.R
@@ -23,6 +23,7 @@
 #'   the list element is either a named list or a list of formulas defining the
 #'   statistic labels, e.g. `everything() ~ list(mean = "Mean", sd = "SD")` or
 #'   `everything() ~ list(mean ~ "Mean", sd ~ "SD")`.
+#' @inheritParams rlang::args_dots_empty
 #'
 #' @section statistic argument:
 #'
@@ -38,16 +39,18 @@
 #' data(api, package = "survey")
 #' dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
 #'
-#' ard_survey_svycontinuous(
+#' ard_continuous(
 #'   data = dclus1,
 #'   variables = api00,
 #'   by = stype
 #' )
-ard_survey_svycontinuous <- function(data, variables, by = NULL,
-                                     statistic = everything() ~ c("median", "p25", "p75"),
-                                     fmt_fn = NULL,
-                                     stat_label = NULL) {
+ard_continuous.survey.design <- function(data, variables, by = NULL,
+                                         statistic = everything() ~ c("median", "p25", "p75"),
+                                         fmt_fn = NULL,
+                                         stat_label = NULL,
+                                         ...) {
   set_cli_abort_call()
+  check_dots_empty()
 
   # check installed packages ---------------------------------------------------
   check_pkg_installed(pkg = "survey", reference_pkg = "cardx")
@@ -68,7 +71,7 @@ ard_survey_svycontinuous <- function(data, variables, by = NULL,
   )
   cards::fill_formula_selectors(
     data$variables[variables],
-    statistic = formals(ard_survey_svycontinuous)[["statistic"]] |> eval()
+    statistic = formals(asNamespace("cardx")[["ard_continuous.survey.design"]])[["statistic"]] |> eval()
   )
   cards::check_list_elements(
     x = statistic,
diff --git a/R/ard_stats_t_test_onesample.R b/R/ard_stats_t_test_onesample.R
new file mode 100644
index 000000000..9eb8a79c0
--- /dev/null
+++ b/R/ard_stats_t_test_onesample.R
@@ -0,0 +1,71 @@
+#' ARD one-sample t-test
+#'
+#' @description
+#' Analysis results data for one-sample t-tests.
+#' Result may be stratified by including the `by` argument.
+#'
+#' @param data (`data.frame`)\cr
+#'   a data frame. See below for details.
+#' @param variables ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
+#'   column names to be analyzed. Independent t-tests will be computed for
+#'   each variable.
+#' @param by ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
+#'   optional column name to stratify results by.
+#' @inheritParams ard_stats_t_test
+#'
+#' @return ARD data frame
+#' @export
+#'
+#' @examplesIf do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "broom", reference_pkg = "cardx"))
+#' cards::ADSL |>
+#'   ard_stats_t_test_onesample(by = ARM, variables = AGE)
+ard_stats_t_test_onesample <- function(data, variables, by = dplyr::group_vars(data), conf.level = 0.95, ...) {
+  set_cli_abort_call()
+
+  # check installed packages ---------------------------------------------------
+  check_pkg_installed("broom", reference_pkg = "cardx")
+
+  # check/process inputs -------------------------------------------------------
+  check_not_missing(data)
+  check_not_missing(variables)
+  check_data_frame(data)
+  data <- dplyr::ungroup(data)
+  cards::process_selectors(data, by = {{ by }}, variables = {{ variables }})
+  check_scalar_range(conf.level, range = c(0, 1))
+
+  # if no variables selected, return empty tibble ------------------------------
+  if (is_empty(variables)) {
+    return(dplyr::tibble())
+  }
+
+  cards::ard_continuous(
+    data = data,
+    variables = all_of(variables),
+    by = all_of(by),
+    statistic = all_of(variables) ~ list(t_test_onesample = \(x) stats::t.test(x = x, conf.level = conf.level, ...) |> broom::tidy())
+  ) |>
+    cards::bind_ard(
+      cards::ard_continuous(
+        data = data,
+        variables = all_of(variables),
+        by = all_of(by),
+        statistic =
+          all_of(variables) ~
+            list(conf.level = \(x) {
+              formals(asNamespace("stats")[["t.test.default"]])["mu"] |>
+                utils::modifyList(list(conf.level = conf.level, ...))
+            })
+      )
+    ) |>
+    dplyr::select(-"stat_label") |>
+    dplyr::left_join(
+      .df_ttest_stat_labels(by = NULL),
+      by = "stat_name"
+    ) |>
+    dplyr::mutate(
+      stat_label = dplyr::coalesce(.data$stat_label, .data$stat_name),
+      context = "ard_stats_t_test_onesample",
+    ) |>
+    cards::tidy_ard_row_order() |>
+    cards::tidy_ard_column_order()
+}
diff --git a/R/ard_stats_wilcox_test_onesample.R b/R/ard_stats_wilcox_test_onesample.R
new file mode 100644
index 000000000..7741c2cab
--- /dev/null
+++ b/R/ard_stats_wilcox_test_onesample.R
@@ -0,0 +1,72 @@
+#' ARD one-sample Wilcox Rank-sum
+#'
+#' @description
+#' Analysis results data for one-sample Wilcox Rank-sum.
+#' Result may be stratified by including the `by` argument.
+#'
+#' @param data (`data.frame`)\cr
+#'   a data frame. See below for details.
+#' @param variables ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
+#'   column names to be analyzed. Independent Wilcox Rank-sum tests will be computed for
+#'   each variable.
+#' @param by ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
+#'   optional column name to stratify results by.
+#' @inheritParams ard_stats_wilcox_test
+#'
+#' @return ARD data frame
+#' @export
+#'
+#' @examplesIf do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "broom", reference_pkg = "cardx"))
+#' cards::ADSL |>
+#'   ard_stats_wilcox_test_onesample(by = ARM, variables = AGE)
+ard_stats_wilcox_test_onesample <- function(data, variables, by = dplyr::group_vars(data), conf.level = 0.95, ...) {
+  set_cli_abort_call()
+
+  # check installed packages ---------------------------------------------------
+  check_pkg_installed("broom", reference_pkg = "cardx")
+
+  # check/process inputs -------------------------------------------------------
+  check_not_missing(data)
+  check_not_missing(variables)
+  check_data_frame(data)
+  data <- dplyr::ungroup(data)
+  cards::process_selectors(data, by = {{ by }}, variables = {{ variables }})
+  check_scalar_range(conf.level, range = c(0, 1))
+
+  # if no variables selected, return empty tibble ------------------------------
+  if (is_empty(variables)) {
+    return(dplyr::tibble())
+  }
+
+  cards::ard_continuous(
+    data = data,
+    variables = all_of(variables),
+    by = all_of(by),
+    statistic = all_of(variables) ~ list(t_test_onesample = \(x) stats::wilcox.test(x = x, conf.level = conf.level, ...) |> broom::tidy())
+  ) |>
+    cards::bind_ard(
+      cards::ard_continuous(
+        data = data,
+        variables = all_of(variables),
+        by = all_of(by),
+        statistic =
+          all_of(variables) ~
+            list(conf.level = \(x) {
+              formals(asNamespace("stats")[["wilcox.test.default"]])[c("mu", "exact", "conf.int", "tol.root", "digits.rank")] |>
+                utils::modifyList(list(conf.level = conf.level, ...)) |>
+                compact()
+            })
+      )
+    ) |>
+    dplyr::select(-"stat_label") |>
+    dplyr::left_join(
+      .df_ttest_stat_labels(by = NULL),
+      by = "stat_name"
+    ) |>
+    dplyr::mutate(
+      stat_label = dplyr::coalesce(.data$stat_label, .data$stat_name),
+      context = "ard_stats_wilcox_test_onesample",
+    ) |>
+    cards::tidy_ard_row_order() |>
+    cards::tidy_ard_column_order()
+}
diff --git a/R/reexports.R b/R/reexports.R
index a7ae12e44..adc647104 100644
--- a/R/reexports.R
+++ b/R/reexports.R
@@ -1,3 +1,24 @@
+# cards ------------------------------------------------------------------------
+#' @importFrom cards ard_continuous
+#' @export
+cards::ard_continuous
+
+#' @importFrom cards ard_categorical
+#' @export
+cards::ard_categorical
+
+#' @importFrom cards ard_dichotomous
+#' @export
+cards::ard_dichotomous
+
+#' @importFrom cards ard_missing
+#' @export
+cards::ard_missing
+
+#' @importFrom cards ard_attributes
+#' @export
+cards::ard_attributes
+
 # dplyr ------------------------------------------------------------------------
 #' @export
 #' @importFrom dplyr %>%
diff --git a/README.Rmd b/README.Rmd
index 8c2a55acf..0007ba337 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -5,7 +5,7 @@ editor_options:
     wrap: 72
 ---
 
-# cardx <a href="https://insightsengineering.github.io/cardx"><img src="man/figures/logo.png" alt="cardx website" align="right" height="138"/></a>
+# cardx <a href="https://insightsengineering.github.io/cardx/"><img src="man/figures/logo.png" alt="cardx website" align="right" height="138"/></a>
 
 [![R-CMD-check](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml)
 [![Codecov test
diff --git a/README.md b/README.md
index 7c108b27a..fda5d4cff 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 
-# cardx <a href="https://insightsengineering.github.io/cardx"><img src="man/figures/logo.png" alt="cardx website" align="right" height="138"/></a>
+# cardx <a href="https://insightsengineering.github.io/cardx/"><img src="man/figures/logo.png" alt="cardx website" align="right" height="138"/></a>
 
 [![R-CMD-check](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml)
 [![Codecov test
diff --git a/_pkgdown.yml b/_pkgdown.yml
index a1acfa498..b40a3879f 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -34,7 +34,9 @@ reference:
       - ard_stats_oneway_test
       - ard_stats_prop_test
       - ard_stats_t_test
+      - ard_stats_t_test_onesample
       - ard_stats_wilcox_test
+      - ard_stats_wilcox_test_onesample
 
   - subtitle: "{aod} package"
   - contents:
@@ -60,8 +62,9 @@ reference:
 
   - subtitle: "{survey} package"
   - contents:
+      - ard_continuous.survey.design
+      - ard_attributes.survey.design
       - ard_survey_svychisq
-      - ard_survey_svycontinuous
       - ard_survey_svyranktest
       - ard_survey_svyttest
 
diff --git a/man/ard_attributes.Rd b/man/ard_attributes.Rd
new file mode 100644
index 000000000..6069aae4d
--- /dev/null
+++ b/man/ard_attributes.Rd
@@ -0,0 +1,46 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ard_attributes.survey.design.R
+\name{ard_attributes.survey.design}
+\alias{ard_attributes.survey.design}
+\title{ARD Attributes}
+\usage{
+\method{ard_attributes}{survey.design}(data, variables = everything(), label = NULL, ...)
+}
+\arguments{
+\item{data}{(\code{survey.design})\cr
+a design object often created with \code{\link[survey:svydesign]{survey::svydesign()}}.}
+
+\item{variables}{(\code{\link[dplyr:dplyr_tidy_select]{tidy-select}})\cr
+variables to include}
+
+\item{label}{(named \code{list})\cr
+named list of variable labels, e.g. \code{list(cyl = "No. Cylinders")}.
+Default is \code{NULL}}
+
+\item{...}{These dots are for future extensions and must be empty.}
+}
+\value{
+an ARD data frame of class 'card'
+}
+\description{
+Add variable attributes to an ARD data frame.
+\itemize{
+\item The \code{label} attribute will be added for all columns, and when no label
+is specified and no label has been set for a column using the \verb{label=} argument,
+the column name will be placed in the label statistic.
+\item The \code{class} attribute will also be returned for all columns.
+\item Any other attribute returned by \code{attributes()} will also be added, e.g. factor levels.
+}
+}
+\examples{
+\dontshow{if (do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "survey", reference_pkg = "cardx"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+data(api, package = "survey")
+dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
+
+ard_attributes(
+  data = dclus1,
+  variables = c(sname, dname),
+  label = list(sname = "School Name", dname = "District Name")
+)
+\dontshow{\}) # examplesIf}
+}
diff --git a/man/ard_survey_svycontinuous.Rd b/man/ard_continuous.survey.design.Rd
similarity index 88%
rename from man/ard_survey_svycontinuous.Rd
rename to man/ard_continuous.survey.design.Rd
index 8e5df93d2..6ba18722a 100644
--- a/man/ard_survey_svycontinuous.Rd
+++ b/man/ard_continuous.survey.design.Rd
@@ -1,16 +1,17 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ard_survey_svycontinuous.R
-\name{ard_survey_svycontinuous}
-\alias{ard_survey_svycontinuous}
+% Please edit documentation in R/ard_continuous.survey.design.R
+\name{ard_continuous.survey.design}
+\alias{ard_continuous.survey.design}
 \title{ARD Continuous Survey Statistics}
 \usage{
-ard_survey_svycontinuous(
+\method{ard_continuous}{survey.design}(
   data,
   variables,
   by = NULL,
   statistic = everything() ~ c("median", "p25", "p75"),
   fmt_fn = NULL,
-  stat_label = NULL
+  stat_label = NULL,
+  ...
 )
 }
 \arguments{
@@ -40,6 +41,8 @@ a named list, a list of formulas, or a single formula where
 the list element is either a named list or a list of formulas defining the
 statistic labels, e.g. \code{everything() ~ list(mean = "Mean", sd = "SD")} or
 \code{everything() ~ list(mean ~ "Mean", sd ~ "SD")}.}
+
+\item{...}{These dots are for future extensions and must be empty.}
 }
 \value{
 an ARD data frame of class 'card'
@@ -60,7 +63,7 @@ where 'p##' is are the percentiles and \verb{##} is an integer between 0 and 100
 data(api, package = "survey")
 dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
 
-ard_survey_svycontinuous(
+ard_continuous(
   data = dclus1,
   variables = api00,
   by = stype
diff --git a/man/ard_stats_t_test_onesample.Rd b/man/ard_stats_t_test_onesample.Rd
new file mode 100644
index 000000000..26a53a373
--- /dev/null
+++ b/man/ard_stats_t_test_onesample.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ard_stats_t_test_onesample.R
+\name{ard_stats_t_test_onesample}
+\alias{ard_stats_t_test_onesample}
+\title{ARD one-sample t-test}
+\usage{
+ard_stats_t_test_onesample(
+  data,
+  variables,
+  by = dplyr::group_vars(data),
+  conf.level = 0.95,
+  ...
+)
+}
+\arguments{
+\item{data}{(\code{data.frame})\cr
+a data frame. See below for details.}
+
+\item{variables}{(\code{\link[dplyr:dplyr_tidy_select]{tidy-select}})\cr
+column names to be analyzed. Independent t-tests will be computed for
+each variable.}
+
+\item{by}{(\code{\link[dplyr:dplyr_tidy_select]{tidy-select}})\cr
+optional column name to stratify results by.}
+
+\item{conf.level}{(scalar \code{numeric})\cr
+confidence level for confidence interval. Default is \code{0.95}.}
+
+\item{...}{arguments passed to \code{t.test(...)}}
+}
+\value{
+ARD data frame
+}
+\description{
+Analysis results data for one-sample t-tests.
+Result may be stratified by including the \code{by} argument.
+}
+\examples{
+\dontshow{if (do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "broom", reference_pkg = "cardx"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+cards::ADSL |>
+  ard_stats_t_test_onesample(by = ARM, variables = AGE)
+\dontshow{\}) # examplesIf}
+}
diff --git a/man/ard_stats_wilcox_test_onesample.Rd b/man/ard_stats_wilcox_test_onesample.Rd
new file mode 100644
index 000000000..b01882559
--- /dev/null
+++ b/man/ard_stats_wilcox_test_onesample.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ard_stats_wilcox_test_onesample.R
+\name{ard_stats_wilcox_test_onesample}
+\alias{ard_stats_wilcox_test_onesample}
+\title{ARD one-sample Wilcox Rank-sum}
+\usage{
+ard_stats_wilcox_test_onesample(
+  data,
+  variables,
+  by = dplyr::group_vars(data),
+  conf.level = 0.95,
+  ...
+)
+}
+\arguments{
+\item{data}{(\code{data.frame})\cr
+a data frame. See below for details.}
+
+\item{variables}{(\code{\link[dplyr:dplyr_tidy_select]{tidy-select}})\cr
+column names to be analyzed. Independent Wilcox Rank-sum tests will be computed for
+each variable.}
+
+\item{by}{(\code{\link[dplyr:dplyr_tidy_select]{tidy-select}})\cr
+optional column name to stratify results by.}
+
+\item{conf.level}{(scalar \code{numeric})\cr
+confidence level for confidence interval. Default is \code{0.95}.}
+
+\item{...}{arguments passed to \code{wilcox.test(...)}}
+}
+\value{
+ARD data frame
+}
+\description{
+Analysis results data for one-sample Wilcox Rank-sum.
+Result may be stratified by including the \code{by} argument.
+}
+\examples{
+\dontshow{if (do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "broom", reference_pkg = "cardx"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+cards::ADSL |>
+  ard_stats_wilcox_test_onesample(by = ARM, variables = AGE)
+\dontshow{\}) # examplesIf}
+}
diff --git a/man/reexports.Rd b/man/reexports.Rd
index 12e1f5269..927068d41 100644
--- a/man/reexports.Rd
+++ b/man/reexports.Rd
@@ -3,6 +3,11 @@
 \docType{import}
 \name{reexports}
 \alias{reexports}
+\alias{ard_continuous}
+\alias{ard_categorical}
+\alias{ard_dichotomous}
+\alias{ard_missing}
+\alias{ard_attributes}
 \alias{\%>\%}
 \alias{starts_with}
 \alias{ends_with}
@@ -22,6 +27,8 @@ These objects are imported from other packages. Follow the links
 below to see their documentation.
 
 \describe{
+  \item{cards}{\code{\link[cards]{ard_attributes}}, \code{\link[cards]{ard_categorical}}, \code{\link[cards]{ard_continuous}}, \code{\link[cards]{ard_dichotomous}}, \code{\link[cards]{ard_missing}}}
+
   \item{dplyr}{\code{\link[dplyr:reexports]{\%>\%}}, \code{\link[dplyr:reexports]{all_of}}, \code{\link[dplyr:reexports]{any_of}}, \code{\link[dplyr:reexports]{contains}}, \code{\link[dplyr:reexports]{ends_with}}, \code{\link[dplyr:reexports]{everything}}, \code{\link[dplyr:reexports]{last_col}}, \code{\link[dplyr:reexports]{matches}}, \code{\link[dplyr:reexports]{num_range}}, \code{\link[dplyr:reexports]{one_of}}, \code{\link[dplyr:reexports]{starts_with}}, \code{\link[dplyr:reexports]{where}}}
 }}
 
diff --git a/tests/testthat/_snaps/ard_survey_svycontinuous.md b/tests/testthat/_snaps/ard_continuous.survey.design.md
similarity index 77%
rename from tests/testthat/_snaps/ard_survey_svycontinuous.md
rename to tests/testthat/_snaps/ard_continuous.survey.design.md
index 7dbd96603..348621925 100644
--- a/tests/testthat/_snaps/ard_survey_svycontinuous.md
+++ b/tests/testthat/_snaps/ard_continuous.survey.design.md
@@ -1,4 +1,4 @@
-# unstratified ard_survey_svycontinuous() works
+# unstratified ard_continuous.survey.design() works
 
     Code
       ard_uni_svy_cont
@@ -19,12 +19,11 @@
     Message
       i 2 more variables: warning, error
 
-# ard_survey_svycontinuous(fmt_fn)
+# ard_continuous.survey.design(fmt_fn)
 
     Code
-      ard_survey_svycontinuous(dclus1, variables = api00, statistic = ~ c("mean",
-        "median", "min", "max"), fmt_fn = list(api00 = list(mean = 2, median = "xx.xx",
-        min = as.character)))
+      ard_continuous(dclus1, variables = api00, statistic = ~ c("mean", "median",
+        "min", "max"), fmt_fn = list(api00 = list(mean = 2, median = "xx.xx", min = as.character)))
     Message
       {cards} data frame: 4 x 8
     Output
@@ -36,12 +35,12 @@
     Message
       i 2 more variables: warning, error
 
-# ard_survey_svycontinuous(stat_label)
+# ard_continuous.survey.design(stat_label)
 
     Code
-      ard_survey_svycontinuous(dclus1, variables = api00, statistic = ~ c("mean",
-        "median", "min", "max"), stat_label = list(api00 = list(mean = "MeAn",
-        median = "MEDian", min = "MINimum")))
+      ard_continuous(dclus1, variables = api00, statistic = ~ c("mean", "median",
+        "min", "max"), stat_label = list(api00 = list(mean = "MeAn", median = "MEDian",
+        min = "MINimum")))
     Message
       {cards} data frame: 4 x 8
     Output
diff --git a/tests/testthat/test-ard_attributes.survey.design.R b/tests/testthat/test-ard_attributes.survey.design.R
new file mode 100644
index 000000000..e4f663eec
--- /dev/null
+++ b/tests/testthat/test-ard_attributes.survey.design.R
@@ -0,0 +1,17 @@
+skip_if_not(is_pkg_installed("survey", reference_pkg = "cardx"))
+
+test_that("ard_attributes.survey.design() works", {
+  data(api, package = "survey")
+  dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
+
+  expect_snapshot({
+    attr(dclus1$variables$sname, "label") <- "School Name"
+
+    ard_attributes(
+      dclus1,
+      variables = c(sname, dname),
+      label = list(dname = "District Name")
+    ) |>
+      as.data.frame()
+  })
+})
diff --git a/tests/testthat/test-ard_survey_svycontinuous.R b/tests/testthat/test-ard_continuous.survey.design.R
similarity index 93%
rename from tests/testthat/test-ard_survey_svycontinuous.R
rename to tests/testthat/test-ard_continuous.survey.design.R
index 85e737ce7..5b999d918 100644
--- a/tests/testthat/test-ard_survey_svycontinuous.R
+++ b/tests/testthat/test-ard_continuous.survey.design.R
@@ -1,12 +1,12 @@
 skip_if_not(is_pkg_installed("survey", reference_pkg = "cardx"))
 
-test_that("unstratified ard_survey_svycontinuous() works", {
+test_that("unstratified ard_continuous.survey.design() works", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
 
   expect_error(
     ard_uni_svy_cont <-
-      ard_survey_svycontinuous(
+      ard_continuous(
         dclus1,
         variables = api00,
         statistic = ~ c(
@@ -71,13 +71,13 @@ test_that("unstratified ard_survey_svycontinuous() works", {
 })
 
 
-test_that("stratified ard_survey_svycontinuous() works", {
+test_that("stratified ard_continuous.survey.design() works", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
 
   expect_error(
     ard_svy_cont <-
-      ard_survey_svycontinuous(
+      ard_continuous(
         dclus1,
         by = both,
         variables = api00,
@@ -238,13 +238,13 @@ test_that("stratified ard_survey_svycontinuous() works", {
   )
 })
 
-test_that("ard_survey_svycontinuous() NA handling", {
+test_that("ard_continuous.survey.design() NA handling", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1 |> dplyr::mutate(api00 = NA_real_), fpc = ~fpc)
 
   expect_error(
     ard_uni_NA_svy_cont <-
-      ard_survey_svycontinuous(
+      ard_continuous(
         dclus1,
         variables = api00,
         statistic = ~ c(
@@ -263,7 +263,7 @@ test_that("ard_survey_svycontinuous() NA handling", {
 
   expect_error(
     ard_NA_svy_cont <-
-      ard_survey_svycontinuous(
+      ard_continuous(
         dclus1,
         variables = api00,
         by = both,
@@ -282,7 +282,7 @@ test_that("ard_survey_svycontinuous() NA handling", {
   )
 })
 
-test_that("ard_survey_svycontinuous() error handling", {
+test_that("ard_continuous.survey.design() error handling", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1[1:20, ], fpc = ~fpc)
 
@@ -290,7 +290,7 @@ test_that("ard_survey_svycontinuous() error handling", {
   # and these "results" may vary across systems (all are nonsense), so just check
   # that code runs without error
   expect_error(
-    ard_survey_svycontinuous(
+    ard_continuous(
       dclus1,
       variables = sname,
       statistic = ~ c(
@@ -302,7 +302,7 @@ test_that("ard_survey_svycontinuous() error handling", {
   )
 
   expect_error(
-    ard_survey_svycontinuous(
+    ard_continuous(
       dclus1,
       variables = sname,
       by = both,
@@ -315,12 +315,12 @@ test_that("ard_survey_svycontinuous() error handling", {
   )
 })
 
-test_that("ard_survey_svycontinuous(fmt_fn)", {
+test_that("ard_continuous.survey.design(fmt_fn)", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
 
   expect_snapshot(
-    ard_survey_svycontinuous(
+    ard_continuous(
       dclus1,
       variables = api00,
       statistic = ~ c("mean", "median", "min", "max"),
@@ -329,12 +329,12 @@ test_that("ard_survey_svycontinuous(fmt_fn)", {
   )
 })
 
-test_that("ard_survey_svycontinuous(stat_label)", {
+test_that("ard_continuous.survey.design(stat_label)", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
 
   expect_snapshot(
-    ard_survey_svycontinuous(
+    ard_continuous(
       dclus1,
       variables = api00,
       statistic = ~ c("mean", "median", "min", "max"),
@@ -343,7 +343,7 @@ test_that("ard_survey_svycontinuous(stat_label)", {
   )
 })
 
-test_that("ard_survey_svycontinuous(by) unobserved levels/combinations", {
+test_that("ard_continuous.survey.design(by) unobserved levels/combinations", {
   data(api, package = "survey")
   dclus1 <- survey::svydesign(
     id = ~dnum, weights = ~pw,
@@ -359,7 +359,7 @@ test_that("ard_survey_svycontinuous(by) unobserved levels/combinations", {
   # The 'Neither' level is never observed, but included in the table
   expect_setequal(
     levels(dclus1$variables$both),
-    ard_survey_svycontinuous(
+    ard_continuous(
       dclus1,
       variables = api00,
       by = both,
@@ -373,7 +373,7 @@ test_that("ard_survey_svycontinuous(by) unobserved levels/combinations", {
   # stype="E" is not observed with awards="No", but it should still appear in table
   with(dclus1$variables, table(stype, awards))
   expect_equal(
-    ard_survey_svycontinuous(
+    ard_continuous(
       dclus1,
       variables = api00,
       by = c(stype, awards),
diff --git a/tests/testthat/test-ard_stats_t_test_onesample.R b/tests/testthat/test-ard_stats_t_test_onesample.R
new file mode 100644
index 000000000..df62e11c2
--- /dev/null
+++ b/tests/testthat/test-ard_stats_t_test_onesample.R
@@ -0,0 +1,50 @@
+skip_if_not(is_pkg_installed("broom", reference_pkg = "cardx"))
+
+test_that("ard_stats_t_test_onesample() works", {
+  # first calculate an object to test against
+  expect_silent(
+    ard1 <- ard_stats_t_test_onesample(
+      cards::ADSL,
+      variables = AGE,
+      by = ARM,
+      conf.level = 0.9,
+      mu = 1
+    )
+  )
+
+  # first check arguments passed and returned correctly
+  expect_equal(
+    cards::get_ard_statistics(
+      ard1,
+      group1_level %in% "Placebo"
+    )[c("mu", "conf.level")],
+    list(mu = 1, conf.level = 0.9)
+  )
+  # check results are correct
+  expect_equal(
+    cards::get_ard_statistics(
+      ard1,
+      group1_level %in% "Placebo"
+    )[c("estimate", "conf.low", "conf.high", "p.value")],
+    t.test(
+      cards::ADSL$AGE[cards::ADSL$ARM == "Placebo"],
+      conf.level = 0.9,
+      mu = 1
+    ) |>
+      broom::tidy() |>
+      dplyr::select(c("estimate", "conf.low", "conf.high", "p.value")) |>
+      as.list()
+  )
+
+  # test the structure is good
+  expect_silent(cards::check_ard_structure(ard1))
+
+  # empty tibble returned with no variables
+  expect_equal(
+    ard_stats_t_test_onesample(
+      cards::ADSL,
+      variables = character(0)
+    ),
+    dplyr::tibble()
+  )
+})
diff --git a/tests/testthat/test-ard_stats_wilcox_test_onesample.R b/tests/testthat/test-ard_stats_wilcox_test_onesample.R
new file mode 100644
index 000000000..3bd22c238
--- /dev/null
+++ b/tests/testthat/test-ard_stats_wilcox_test_onesample.R
@@ -0,0 +1,52 @@
+skip_if_not(is_pkg_installed("broom", reference_pkg = "cardx"))
+
+test_that("ard_stats_wilcox_test_onesample() works", {
+  # first calculate an object to test against
+  expect_silent(
+    ard1 <- ard_stats_wilcox_test_onesample(
+      cards::ADSL,
+      variables = AGE,
+      by = ARM,
+      conf.level = 0.9,
+      conf.int = TRUE,
+      mu = 1
+    )
+  )
+
+  # first check arguments passed and returned correctly
+  expect_equal(
+    cards::get_ard_statistics(
+      ard1,
+      group1_level %in% "Placebo"
+    )[c("mu", "conf.level")],
+    list(mu = 1, conf.level = 0.9)
+  )
+  # check results are correct
+  expect_equal(
+    cards::get_ard_statistics(
+      ard1,
+      group1_level %in% "Placebo"
+    )[c("estimate", "conf.low", "conf.high", "p.value")],
+    wilcox.test(
+      cards::ADSL$AGE[cards::ADSL$ARM == "Placebo"],
+      conf.level = 0.9,
+      mu = 1,
+      conf.int = TRUE
+    ) |>
+      broom::tidy() |>
+      dplyr::select(c("estimate", "conf.low", "conf.high", "p.value")) |>
+      as.list()
+  )
+
+  # test the structure is good
+  expect_silent(cards::check_ard_structure(ard1))
+
+  # empty tibble returned with no variables
+  expect_equal(
+    ard_stats_wilcox_test_onesample(
+      cards::ADSL,
+      variables = character(0)
+    ),
+    dplyr::tibble()
+  )
+})