Empirical Bayes estimation of random effects of a mixed-effects proportional odds Markov model for ordinal data

The objective of this work was to investigate the factors influencing the quality of empirical Bayes estimates (EBEs) of individual random effects of a mixed-effects Markov model for ordered categorical data. It was motivated by an attempt to develop a model-based dose adaptation tool for clinical u...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 104; H. 3; S. 505 - 513
Hauptverfasser:	Paule, Inès, Girard, Pascal, Tod, Michel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ireland Ltd 01.12.2011 Elsevier
Schlagworte:	Antineoplastic Agents - adverse effects Antineoplastic Agents - therapeutic use Bayes Theorem Biological and medical sciences Capecitabine Colorectal Neoplasms - drug therapy Deoxycytidine - adverse effects Deoxycytidine - analogs & derivatives Deoxycytidine - therapeutic use Empirical Bayes estimation Empirical Research Fluorouracil - adverse effects Fluorouracil - analogs & derivatives Fluorouracil - therapeutic use Hand-Foot Syndrome - etiology Humans Individual random effects Internal Medicine Markov Chains Medical sciences Mixed-effects models Optimization algorithm comparison Ordered categorical data models Other Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Technology. Biomaterials. Equipments. Material. Instrumentation Individual random effects Ordered categorical data models Empirical Bayes estimation Mixed-effects models Optimization algorithm comparison Biomedical engineering
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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