Adjusting for baseline: change or percentage change?
L. Kaiser. Statistics in medicine, 8 (10):
1183-90(October 1989)2999<m:linebreak></m:linebreak>Mesures de contrast.
Abstract
Clinical trials data often include baseline and response measurements on each patient. Comparisons of treatments commonly employ either change from baseline or percentage change from baseline as the analysis variable. This paper provides guidance on the choice between these two by means of plots of these variables versus baseline. I provide two examples that illustrate the problem and I discuss the impact of use of the wrong adjusted response.
%0 Journal Article
%1 Kaiser1989
%A Kaiser, L
%D 1989
%J Statistics in medicine
%K ClinicalTrialsasTopic ClinicalTrialsasTopic:standards ClusterAnalysis ComputerSimulation DataInterpretation DecisionSupportTechniques DrugTherapy DrugTherapy:statistics&numericaldata Models NormalDistribution PredictiveValueofTests ReferenceStandards Statistical
%N 10
%P 1183-90
%T Adjusting for baseline: change or percentage change?
%U http://www.ncbi.nlm.nih.gov/pubmed/2682909
%V 8
%X Clinical trials data often include baseline and response measurements on each patient. Comparisons of treatments commonly employ either change from baseline or percentage change from baseline as the analysis variable. This paper provides guidance on the choice between these two by means of plots of these variables versus baseline. I provide two examples that illustrate the problem and I discuss the impact of use of the wrong adjusted response.
@article{Kaiser1989,
abstract = {Clinical trials data often include baseline and response measurements on each patient. Comparisons of treatments commonly employ either change from baseline or percentage change from baseline as the analysis variable. This paper provides guidance on the choice between these two by means of plots of these variables versus baseline. I provide two examples that illustrate the problem and I discuss the impact of use of the wrong adjusted response.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Kaiser, L},
biburl = {https://www.bibsonomy.org/bibtex/21ee19ffc30cc9248a72b4e023b48a4f7/jepcastel},
interhash = {9e7b6693db37f8878a50aeaf577e3461},
intrahash = {1ee19ffc30cc9248a72b4e023b48a4f7},
issn = {0277-6715},
journal = {Statistics in medicine},
keywords = {ClinicalTrialsasTopic ClinicalTrialsasTopic:standards ClusterAnalysis ComputerSimulation DataInterpretation DecisionSupportTechniques DrugTherapy DrugTherapy:statistics&numericaldata Models NormalDistribution PredictiveValueofTests ReferenceStandards Statistical},
month = {10},
note = {2999<m:linebreak></m:linebreak>Mesures de contrast},
number = 10,
pages = {1183-90},
pmid = {2682909},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {Adjusting for baseline: change or percentage change?},
url = {http://www.ncbi.nlm.nih.gov/pubmed/2682909},
volume = 8,
year = 1989
}