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Measuring multimorbidity in research: Delphi consensus study.
BMJ Med. 2022 Jul 27;1(1):e000247. doi: 10.1136/bmjmed-2022-000247. eCollection 2022.
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An overview of mixture modelling for latent evolutions in longitudinal data: Modelling approaches, fit statistics and software.
Adv Life Course Res. 2020 Mar;43:100323. doi: 10.1016/j.alcr.2019.100323. Epub 2020 Jan 25.
3
Multidimensional trajectories of multimorbidity, functional status, cognitive performance, and depressive symptoms among diverse groups of older adults.
J Multimorb Comorb. 2022 Nov 30;12:26335565221143012. doi: 10.1177/26335565221143012. eCollection 2022 Jan-Dec.
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Ten frequently asked questions about latent transition analysis.
Psychol Methods. 2023 Apr;28(2):284-300. doi: 10.1037/met0000486. Epub 2022 Jul 14.
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Inference for transition probabilities in non-Markov multi-state models.
Lifetime Data Anal. 2022 Oct;28(4):585-604. doi: 10.1007/s10985-022-09560-w. Epub 2022 Jun 28.
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Cohort Trends in the Burden of Multiple Chronic Conditions Among Aging U.S. Adults.
J Gerontol B Psychol Sci Soc Sci. 2022 Oct 6;77(10):1867-1879. doi: 10.1093/geronb/gbac070.
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Patterns of multimorbidity trajectories and their correlates among Korean older adults.
Age Ageing. 2021 Jun 28;50(4):1336-1341. doi: 10.1093/ageing/afab002.
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Age period cohort analysis: a review of what we should and shouldn't do.
Ann Hum Biol. 2020 Mar;47(2):208-217. doi: 10.1080/03014460.2019.1707872.
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Identifying typical trajectories in longitudinal data: modelling strategies and interpretations.
Eur J Epidemiol. 2020 Mar;35(3):205-222. doi: 10.1007/s10654-020-00615-6. Epub 2020 Mar 5.

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