diff --git a/R/minc_anatomy.R b/R/minc_anatomy.R
index fc01b7db..7b626a3a 100644
--- a/R/minc_anatomy.R
+++ b/R/minc_anatomy.R
@@ -767,12 +767,10 @@ anatLm <- function(formula, data, anat, subset=NULL) {
 #' @details \code{anatLmer}, like its relative \link{mincLmer} provides an interface to running 
 #' linear mixed effects models at every vertex. Unlike standard linear models testing hypotheses 
 #' in linear mixed effects models is more difficult, since the denominator degrees of freedom are 
-#' more difficult to  determine. RMINC provides two alternatives: (1) estimating degrees of freedom using the
-#' \code{\link{mincLmerEstimateDF}} function, and (2) comparing two separate models using
-#' \code{\link{mincLogLikRatio}} (which in turn can be corrected using
-#' \code{\link{mincLogLikRatioParametricBootstrap}}). For the most likely models - longitudinal
-#' models with a separate intercept or separate intercept and slope per subject - both of these
-#' approximations are likely correct. Be careful in using these approximations if
+#' more difficult to  determine. RMINC provides estimating degrees of freedom using the
+#' \code{\link{anatLmerEstimateDF}} function. For the most likely models - longitudinal
+#' models with a separate intercept or separate intercept and slope per subject - this
+#' approximation is likely correct. Be careful in using this approximations if
 #' using more complicated random effects structures.
 #' @export 
 anatLmer <-
diff --git a/man/anatLmer.Rd b/man/anatLmer.Rd
index 21581ffa..b72071cf 100644
--- a/man/anatLmer.Rd
+++ b/man/anatLmer.Rd
@@ -43,12 +43,10 @@ Fit a linear mixed effects model for each structure in the results of
 \code{anatLmer}, like its relative \link{mincLmer} provides an interface to running 
 linear mixed effects models at every vertex. Unlike standard linear models testing hypotheses 
 in linear mixed effects models is more difficult, since the denominator degrees of freedom are 
-more difficult to  determine. RMINC provides two alternatives: (1) estimating degrees of freedom using the
-\code{\link{mincLmerEstimateDF}} function, and (2) comparing two separate models using
-\code{\link{mincLogLikRatio}} (which in turn can be corrected using
-\code{\link{mincLogLikRatioParametricBootstrap}}). For the most likely models - longitudinal
-models with a separate intercept or separate intercept and slope per subject - both of these
-approximations are likely correct. Be careful in using these approximations if
+more difficult to  determine. RMINC provides estimating degrees of freedom using the
+\code{\link{anatLmerEstimateDF}} function. For the most likely models - longitudinal
+models with a separate intercept or separate intercept and slope per subject - this
+approximation is likely correct. Be careful in using this approximations if
 using more complicated random effects structures.
 }