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The analysis of multivariate longitudinal data: A review

Verbeke, Geert et al.

Statistical methods in medical research. Volume 23:Number 1 (2014, February); pp 42-59 -- Sage

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Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study

Wynants, L et al.

Statistical methods in medical research. Volume 27:Number 6 (2018); pp 1723-1736 -- Sage

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Detecting the violation of variance homogeneity in mixed models

Fang, Xicheng et al.

Statistical methods in medical research. Volume 25:Number 6 (2016, December); pp 2506-2520 -- Sage

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Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data

Galbraith, Sally; Bowden, Jack; Mander, Adrian

Statistical methods in medical research. Volume 26:Number 1 (2017); pp 374-398 -- Sage

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Joint modeling of HIV data in multicenter observational studies: A comparison among different approaches

Brombin, Chiara; Di Serio, Clelia; Rancoita, Paola MV

Statistical methods in medical research. Volume 25:Number 6 (2016, December); pp 2472-2487 -- Sage

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Analyzing repeated measures semi-continuous data, with application to an alcohol dependence study

Liu, Lei et al.

Statistical methods in medical research. Volume 25:Number 1 (2016, February); pp 133-152 -- Sage

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Evolution of association between renal and liver functions while awaiting heart transplant: An application using a bivariate multiphase nonlinear mixed effects model

Rajeswaran, Jeevanantham; Blackstone, Eugene H; Barnard, John

Statistical methods in medical research. Volume 27:Number 7 (2018); pp 2216-2230 -- Sage

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Spatial generalised linear mixed models based on distances

Melo, Oscar O; Mateu, Jorge; Melo, Carlos E

Statistical methods in medical research. Volume 25:Number 5 (2016, October); pp 2138-2160 -- Sage

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A two-stage approach to the joint analysis of longitudinal and survival data utilising the Coxian phase-type distribution

Donnelly, Conor et al.

Statistical methods in medical research. Volume 27:Number 12 (2018); pp 3577-3594 -- Sage

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Transform-both-sides nonlinear models for in vitro pharmacokinetic experiments

Latif, AHM Mahbub; Gilmour, Steven G

Statistical methods in medical research. Volume 24:Number 3 (2015, June); pp 306-324 -- Sage

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  1. Joint model--zero-inflation generalized Poisson--count data--Markov chain Monte Carlo--mixed model  (1)
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  14. Joint model--frailty model--left-censored covariate--linear mixed-effects model--non-ignorable missing  (1)
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