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Journal of Statistical Computation and Simulation Volume 87, 2017 - Issue 8
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Original Articles

Estimation of the linear mixed integrated Ornstein–Uhlenbeck model

Rachael A. HughesSchool of Social and Community Medicine, University of Bristol, Bristol, UKCorrespondence[email protected]
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,
Michael G. KenwardDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UKView further author information
,
Jonathan A. C. SterneSchool of Social and Community Medicine, University of Bristol, Bristol, UKView further author information
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Kate TillingSchool of Social and Community Medicine, University of Bristol, Bristol, UKView further author information
Pages 1541-1558 | Received 26 Apr 2015, Accepted 25 Dec 2016, Published online: 12 Jan 2017

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Guanpeng Dong, Jing Ma, Mei-Po Kwan, Yiming Wang & Yanwei Chai. (2018) Multi-level temporal autoregressive modelling of daily activity satisfaction using GPS-integrated activity diary data. International Journal of Geographical Information Science 32:11, pages 2189-2208.
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Articles from other publishers (5)

Takumi Imamura, Hiroki Masuda & Hayato Tajima. (2024) On local likelihood asymptotics for Gaussian mixed-effects model with system noise. Statistics & Probability Letters 208, pages 110074.
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Peter Craigmile, Radu Herbei, Ge Liu & Grant Schneider. (2022) Statistical inference for stochastic differential equations. WIREs Computational Statistics 15:2.
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Alicia S Chua & Yorghos Tripodis. (2021) A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes. Statistical Methods in Medical Research 31:3, pages 520-533.
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Alecia Nickless, Merryn Voysey, John Geddes, Ly-Mee Yu & Thomas R. Fanshawe. (2018) Mixed effects approach to the analysis of the stepped wedge cluster randomised trial—Investigating the confounding effect of time through simulation. PLOS ONE 13:12, pages e0208876.
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Rachael A. Hughes, Michael G. Kenward, Jonathan A. C. Sterne & Kate Tilling. (2017) Analyzing Repeated Measurements while Accounting for Derivative Tracking, Varying Within-subject Variance, and Autocorrelation: The Xtmixediou Command. The Stata Journal: Promoting communications on statistics and Stata 17:3, pages 573-599.
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