From b19d7288eae74f74e336ee801666d7434f48034a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Liming=20Li=20=EF=BC=88=E6=9D=8E=E9=BB=8E=E6=98=8E?= =?UTF-8?q?=EF=BC=89?= Date: Wed, 23 Oct 2024 01:11:26 +0000 Subject: [PATCH] update fda guidance link --- README.Rmd | 2 +- README.md | 5 +++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/README.Rmd b/README.Rmd index 661b34c..40e50bb 100644 --- a/README.Rmd +++ b/README.Rmd @@ -24,7 +24,7 @@ knitr::opts_chunk$set( \ RobinCar2 is a package to provide robust inference of covariate adjusted analysis under stratified randomization. -The methods implemented are recommended by [FDA guidance on covariate adjustment](). +The methods implemented are recommended by [FDA guidance on covariate adjustment](https://www.fda.gov/regulatory-information/search-fda-guidance-documents/adjusting-covariates-randomized-clinical-trials-drugs-and-biological-products). The methods are based on the work of [Ye, Shao, Yi and Zhao (2023)](doi:10.1080/01621459.2022.2049278), [Ye, Bannick, Yi and Shao (2023)](doi:10.1080/24754269.2023.2205802), [Ye, Shao, Yi (2023)](doi:10.1093/biomet/asad045>) and diff --git a/README.md b/README.md index b3957f7..6b5a602 100644 --- a/README.md +++ b/README.md @@ -21,8 +21,9 @@ Coverage](https://raw.githubusercontent.com/openpharma/RobinCar2/_xml_coverage_r RobinCar2 is a package to provide robust inference of covariate adjusted analysis under stratified randomization. The methods implemented are -recommended by [FDA guidance on covariate adjustment](). The methods are -based on the work of [Ye, Shao, Yi and Zhao +recommended by [FDA guidance on covariate +adjustment](https://www.fda.gov/regulatory-information/search-fda-guidance-documents/adjusting-covariates-randomized-clinical-trials-drugs-and-biological-products). +The methods are based on the work of [Ye, Shao, Yi and Zhao (2023)](doi:10.1080/01621459.2022.2049278), [Ye, Bannick, Yi and Shao (2023)](doi:10.1080/24754269.2023.2205802), [Ye, Shao, Yi (2023)](doi:10.1093/biomet/asad045%3E) and [Bannick, Shao, Liu, Du, Yi,