R Estimates and Associated Inferences for Mixed Models With Covariates in a Multicenter Clinical Trial

Rashid, M. Mushfiqur; McKean, Joseph W.; Kloke, John

doi:10.1080/19466315.2011.636293

Cited by 9 publications

(16 citation statements)

References 23 publications

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“…Both procedures offer a complete analysis, including estimation, diagnostic checks, and a corresponding inference (confidence procedures and testing of linear hypotheses). The asymptotic theory of the MR and JR analyses for general mixed models can be found respectively in the papers of Rashid et al (2012) and Kloke et al (2009). For the multiclinical model, the MR theory assumes that the number of centers is fixed while the sample size within centers goes to .…”

Section: General Rank-based Methodsmentioning

confidence: 99%

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Review of Rank-Based Procedures for Multicenter Clinical Trials

Rashid

McKean

Kloke

2013

Journal of Biopharmaceutical Statistics

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This article reviews nonparametric alternatives to the mixed model normal theory analysis for the analyses of multicenter clinical trials. Under a mixed model, the traditional analysis is based on maximum likelihood theory under normal errors. This analysis, though, is not robust to outliers. Robust, rank-based, Wilcoxon-type procedures are reviewed for a multicenter clinical trial for the mixed model but without the assumption of normality. These procedures retain the high efficiency of Wilcoxon methods for simple location problems and are based on a fitting criterion which is robust to outliers in response space. A simple weighting scheme can be employed so that the procedures are robust to outliers in factor (design) space as well as response space. These rank-based analyses offer a complete analysis, including estimation of fixed effects and their standard errors, and tests of linear hypotheses. Both rank-based estimates of contrasts and individual treatment effects are reviewed. We illustrate the analyses using real data from a clinical trial.

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Section: General Rank-based Methodsmentioning

confidence: 99%

“…Other scores besides the Wilcoxon scores for mixed models are discussed in the papers by Rashid et al (2012). In the absence of covariates in Model (1), Rashid (2003) used equation (5) to develop R estimates for testing noninferiority hypotheses for multicenter clinical trials.…”

Section: Mr Fit and Analysismentioning

confidence: 99%

Review of Rank-Based Procedures for Multicenter Clinical Trials

Rashid

McKean

Kloke

2013

Journal of Biopharmaceutical Statistics

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“…For multicenter clinical trials, Rashid, McKean, and Kloke (2012) proposed an R estimator which is invariant to the random center effect. This procedure forms a Jaeckeldispersion function for each center by ranking the residuals within that center.…”

Section: Rank-based Invariant Estimationmentioning

confidence: 99%

“…Also, Rashid, McKean, and Kloke (2012) proposed an analysis for a multicenter clinical design, which is also based on a sum of Jaeckel dispersion functions. Their design was a mixed model with centers treated as random.…”

Section: Introductionmentioning

confidence: 99%

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Rank-Based Analysis of Unbalanced Repeated Measures Data

Rashid¹,

McKean

Kloke³

2012

Pak.j.stat.oper.res.

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In this article, we have developed a rank (intra-subject) based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each patient are exchangeable and continuous random variables. This rank-based inference is valid when the unbalanced data are missing either completely at random or by design. A drop in dispersion test is developed for general linear hypotheses. A numerical example is given to illustrate the procedure.

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Generalized Rank-Based Estimates for Linear Models with Cluster Correlated Data

Kloke

2016

Robust Rank-Based and Nonparametric Methods

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R Estimates and Associated Inferences for Mixed Models With Covariates in a Multicenter Clinical Trial

Cited by 9 publications

References 23 publications

Review of Rank-Based Procedures for Multicenter Clinical Trials

Review of Rank-Based Procedures for Multicenter Clinical Trials

Rank-Based Analysis of Unbalanced Repeated Measures Data

Generalized Rank-Based Estimates for Linear Models with Cluster Correlated Data

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