Merge pull request #342 from insightsengineering/doc_review

small changes in draws doc and quickstart vignette

R/draws.R

@@ -9,9 +9,9 @@
 #' in the absence of intercurrent events (ICEs) handled using reference-based imputation methods.
 #' For this reason, any observed outcome data after ICEs, for which reference-based imputation methods are
 #' specified, are removed and considered as missing for the purpose of estimating the imputation model, and for
-#' this purpose only. The imputation model is a mixed effects model repeated measures (MMRM) model that is valid
+#' this purpose only. The imputation model is a mixed model for repeated measures (MMRM) that is valid
 #' under a missing-at-random (MAR) assumption.
-#' It can be fit using frequentist maximum likelihood (ML) or restricted ML (REML) estimation,
+#' It can be fit using maximum likelihood (ML) or restricted ML (REML) estimation,
 #' a Bayesian approach, or an approximate Bayesian approach according to the user's method specification.
 #' The ML/REML approaches and the approximate Bayesian approach support several possible covariance structures,
 #' while the Bayesian approach based on MCMC sampling supports only an unstructured covariance structure.