Literature DB >> 2682909

Adjusting for baseline: change or percentage change?

L Kaiser1.   

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.

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Mesh:

Year:  1989        PMID: 2682909     DOI: 10.1002/sim.4780081002

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  24 in total

1.  Genetic dissection of dietary restriction in mice supports the metabolic efficiency model of life extension.

Authors:  Brad A Rikke; Chen-Yu Liao; Matthew B McQueen; James F Nelson; Thomas E Johnson
Journal:  Exp Gerontol       Date:  2010-05-07       Impact factor: 4.032

2.  Agreement and reproducibility of the estimates of cardiovascular function by impedance cardiography and M-mode echocardiography in healthy subjects.

Authors:  C de Mey; J Matthews; R Butzer; V Schroeter; G G Belz
Journal:  Br J Clin Pharmacol       Date:  1992-07       Impact factor: 4.335

3.  Conditioned responses to cocaine-related stimuli in cocaine abuse patients.

Authors:  R N Ehrman; S J Robbins; A R Childress; C P O'Brien
Journal:  Psychopharmacology (Berl)       Date:  1992       Impact factor: 4.530

4.  Determination of the minimal important difference for the acute otitis media severity of symptom scale.

Authors:  Nader Shaikh; Howard E Rockette; Alejandro Hoberman; Marcia Kurs-Lasky; Jack L Paradise
Journal:  Pediatr Infect Dis J       Date:  2015-03       Impact factor: 2.129

5.  Low ponderal index is associated with decreased muscle strength and fatigue resistance in college-aged women.

Authors:  Tom D Brutsaert; Kelli H Tamvada; Melisa Kiyamu; Daniel D White; Timothy B Gage
Journal:  Early Hum Dev       Date:  2011-06-08       Impact factor: 2.079

Review 6.  Statistical approaches to pharmacodynamic modeling: motivations, methods, and misperceptions.

Authors:  R Mick; M J Ratain
Journal:  Cancer Chemother Pharmacol       Date:  1993       Impact factor: 3.333

7.  Bicarbonate and haemodynamics in neonates.

Authors:  J Tibballs
Journal:  Intensive Care Med       Date:  1993       Impact factor: 17.440

8.  Association between disease-specific quality of life and magnetic resonance imaging outcomes in a clinical trial of prolotherapy for knee osteoarthritis.

Authors:  David Rabago; Richard Kijowski; Michael Woods; Jeffrey J Patterson; Marlon Mundt; Aleksandra Zgierska; Jessica Grettie; John Lyftogt; Luke Fortney
Journal:  Arch Phys Med Rehabil       Date:  2013-07-10       Impact factor: 3.966

9.  Evaluation of vaccine-induced antibody responses: impact of new technologies.

Authors:  Daniel J Zaccaro; Diane K Wagener; Carol C Whisnant; Herman F Staats
Journal:  Vaccine       Date:  2013-04-11       Impact factor: 3.641

Review 10.  Pharmacokinetic-pharmacodynamic relationships for benzodiazepines.

Authors:  B E Laurijssens; D J Greenblatt
Journal:  Clin Pharmacokinet       Date:  1996-01       Impact factor: 6.447

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