Document Detail

Estimating transformations for repeated measures modeling of continuous bounded outcome data.
MedLine Citation:
PMID:  21472758     Owner:  NLM     Status:  MEDLINE    
Continuous bounded outcome data are unlikely to meet the usual assumptions for mixed-effects models of normally distributed and independent subject-specific and residual random effects. Additionally, overly complicated model structures might be necessary to account adequately for non-drug (time-dependent) and drug treatment effects. A transformation strategy with a likelihood component for censoring is developed to promote the simplicity of model structures and to improve the plausibility of assumptions on the random effects. The approach is motivated by Health Assessment Questionnaire Disability Index (HAQ-DI) data from a study in subjects with rheumatoid arthritis and is evaluated using a simulation study.
Matthew M Hutmacher; Jonathan L French; Sriram Krishnaswami; Sujatha Menon
Related Documents :
18252358 - A survey of fuzzy clustering algorithms for pattern recognition. ii.
8589088 - Disease models implicit in statistical tests of disease clustering.
20170218 - Comparing geometric and kinetic cluster algorithms for molecular simulation data.
1786318 - Logistic regression for clustered binary data in proband studies with application to fa...
12593318 - Grief is more than tears.
12071258 - An intelligent system for multivariate statistical process monitoring and diagnosis.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-01-13
Journal Detail:
Title:  Statistics in medicine     Volume:  30     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-04-07     Completed Date:  2011-07-27     Revised Date:  2013-06-05    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  935-49     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 John Wiley & Sons, Ltd.
Ann Arbor Pharmacometrics Group (A2PG), 110 E Miller, Garden Suite, Ann Arbor, MI 48104, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Arthritis, Rheumatoid / drug therapy
Clinical Trials as Topic / methods*
Computer Simulation
Data Interpretation, Statistical*
Janus Kinase 3 / antagonists & inhibitors
Models, Statistical*
Pyrimidines / administration & dosage,  pharmacology,  therapeutic use
Pyrroles / administration & dosage,  pharmacology,  therapeutic use
Quality of Life
Treatment Outcome*
Reg. No./Substance:
0/Pyrimidines; 0/Pyrroles; 87LA6FU830/tofacitinib; EC Kinase 3

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Sequential methods for random-effects meta-analysis.
Next Document:  Mixture cure model with random effects for clustered interval-censored survival data.