diff --git a/R/prop_diff.R b/R/prop_diff.R
index cc482daf91..2dd3a2cd8f 100644
--- a/R/prop_diff.R
+++ b/R/prop_diff.R
@@ -2,7 +2,7 @@
 #'
 #' @description `r lifecycle::badge("stable")`
 #'
-#' The analysis function [estimate_prop_diff()] creates a layout element to estimate the difference in proportion of
+#' The analysis function [estimate_proportion_diff()] creates a layout element to estimate the difference in proportion of
 #' responders within a studied population. The primary analysis variable, `vars`, is a logical variable indicating
 #' whether a response has occurred for each record. See the `method` parameter for options of methods to use when
 #' constructing the confidence interval of the proportion difference. A stratification variable can be supplied via the
diff --git a/R/summarize_colvars.R b/R/summarize_colvars.R
index 5704c8e632..581539a8bc 100644
--- a/R/summarize_colvars.R
+++ b/R/summarize_colvars.R
@@ -4,7 +4,7 @@
 #'
 #' The analyze function [summarize_colvars()] uses the statistics function [s_summary()] to analyze variables that are
 #' arranged in columns. The variables to analyze should be specified in the table layout via column splits (see
-#' [split_cols_by()] and [split_cols_by_mutlivar()]) prior to using [summarize_colvars()].
+#' [split_cols_by()] and [split_cols_by_multivar()]) prior to using [summarize_colvars()].
 #'
 #' The function is a minimal wrapper for [rtables::analyze_colvars()], a function typically used to apply different
 #' analysis methods in rows for each column variable. To use the analysis methods as column labels, please refer to
diff --git a/man/prop_diff.Rd b/man/prop_diff.Rd
index db3aa7b6ed..f4e3c8b36b 100644
--- a/man/prop_diff.Rd
+++ b/man/prop_diff.Rd
@@ -118,7 +118,7 @@ the statistics from \code{s_proportion_diff()} to the table layout.
 \description{
 \ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}}
 
-The analysis function \code{\link[=estimate_prop_diff]{estimate_prop_diff()}} creates a layout element to estimate the difference in proportion of
+The analysis function \code{\link[=estimate_proportion_diff]{estimate_proportion_diff()}} creates a layout element to estimate the difference in proportion of
 responders within a studied population. The primary analysis variable, \code{vars}, is a logical variable indicating
 whether a response has occurred for each record. See the \code{method} parameter for options of methods to use when
 constructing the confidence interval of the proportion difference. A stratification variable can be supplied via the
diff --git a/man/summarize_colvars.Rd b/man/summarize_colvars.Rd
index 5b870461de..600c46583c 100644
--- a/man/summarize_colvars.Rd
+++ b/man/summarize_colvars.Rd
@@ -42,7 +42,7 @@ in columns, and add it to the table layout.
 
 The analyze function \code{\link[=summarize_colvars]{summarize_colvars()}} uses the statistics function \code{\link[=s_summary]{s_summary()}} to analyze variables that are
 arranged in columns. The variables to analyze should be specified in the table layout via column splits (see
-\code{\link[=split_cols_by]{split_cols_by()}} and \code{\link[=split_cols_by_mutlivar]{split_cols_by_mutlivar()}}) prior to using \code{\link[=summarize_colvars]{summarize_colvars()}}.
+\code{\link[=split_cols_by]{split_cols_by()}} and \code{\link[=split_cols_by_multivar]{split_cols_by_multivar()}}) prior to using \code{\link[=summarize_colvars]{summarize_colvars()}}.
 
 The function is a minimal wrapper for \code{\link[rtables:analyze_colvars]{rtables::analyze_colvars()}}, a function typically used to apply different
 analysis methods in rows for each column variable. To use the analysis methods as column labels, please refer to