Literature DB >> 1876780

A random effects model for ordinal responses from a crossover trial.

F Ezzet1, J Whitehead.   

Abstract

Crossover studies have been successfully conducted in the case of continuous responses. Existing procedures of analysis for ordinal responses, on the other hand, are rarely satisfactory unless strict, usually unrealistic, assumptions are made. In this paper we investigate a random effects model and show that the model is simple and general. Interpretation of parameters is easy, though with a complicated fitting procedure.

Mesh:

Year:  1991        PMID: 1876780     DOI: 10.1002/sim.4780100611

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


  7 in total

1.  Implementation and evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamics.

Authors:  Radojka M Savic; France Mentré; Marc Lavielle
Journal:  AAPS J       Date:  2010-11-11       Impact factor: 4.009

2.  Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data.

Authors:  Jiayi Hou; Kellie J Archer
Journal:  Stat Appl Genet Mol Biol       Date:  2015-02

3.  Estimating bias in population parameters for some models for repeated measures ordinal data using NONMEM and NLMIXED.

Authors:  Siv Jönsson; Maria C Kjellsson; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-08       Impact factor: 2.745

4.  A mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Authors:  Donald Hedeker; Hakan Demirtas; Robin J Mermelstein
Journal:  Stat Interface       Date:  2009       Impact factor: 0.582

5.  Regression analysis of correlated ordinal data using orthogonalized residuals.

Authors:  J Perin; J S Preisser; C Phillips; B Qaqish
Journal:  Biometrics       Date:  2014-08-18       Impact factor: 2.571

6.  A Mixed-effects Location-Scale Model for Ordinal Questionnaire Data.

Authors:  Donald Hedeker; Robin J Mermelstein; Hakan Demirtas; Michael L Berbaum
Journal:  Health Serv Outcomes Res Methodol       Date:  2016-04-11

7.  IMI2-PainCare-BioPain-RCT1: study protocol for a randomized, double-blind, placebo-controlled, crossover, multi-center trial in healthy subjects to investigate the effects of lacosamide, pregabalin, and tapentadol on biomarkers of pain processing observed by peripheral nerve excitability testing (NET).

Authors:  Zahra Nochi; Hossein Pia; Petra Bloms-Funke; Irmgard Boesl; Ombretta Caspani; Sonya C Chapman; Francesca Fardo; Bernd Genser; Marcus Goetz; Anna V Kostenko; Caterina Leone; Thomas Li; André Mouraux; Bernhard Pelz; Esther Pogatzki-Zahn; Andreas Schilder; Erik Schnetter; Karin Schubart; Alexandre Stouffs; Irene Tracey; Iñaki F Troconiz; Andrea Truini; Johannes Van Niel; Jose Miguel Vela; Katy Vincent; Jan Vollert; Vishvarani Wanigasekera; Matthias Wittayer; Hatice Tankisi; Nanna B Finnerup; Keith G Phillips; Rolf-Detlef Treede
Journal:  Trials       Date:  2022-02-19       Impact factor: 2.279

  7 in total

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