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Growth curve mixture models.

作者信息

Leiby Benjamin E

机构信息

Division of Biostatistics, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

出版信息

Shanghai Arch Psychiatry. 2012 Dec;24(6):355-8. doi: 10.3969/j.issn.1002-0829.2012.06.009.

DOI:10.3969/j.issn.1002-0829.2012.06.009
PMID:25324642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4198904/
Abstract
摘要

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本文引用的文献

1
Latent variable modeling.潜在变量建模。
Shanghai Arch Psychiatry. 2012 Apr;24(2):118-20. doi: 10.3969/j.issn.1002-0829.2012.02.010.
2
Identification of Multivariate Responders/Non-Responders Using Bayesian Growth Curve Latent Class Models.使用贝叶斯生长曲线潜在类别模型识别多变量应答者/无应答者。
J R Stat Soc Ser C Appl Stat. 2009 Sep;58(4):505-524. doi: 10.1111/j.1467-9876.2009.00663.x.
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Trajectories of change in depression severity during treatment with antidepressants.抗抑郁药治疗期间抑郁严重程度的变化轨迹。
由于阿尔茨海默病和其他类型痴呆导致的残疾生存年数：亚洲和北非国家的趋势分析。
J Epidemiol Glob Health. 2019 Mar;9(1):29-35. doi: 10.2991/jegh.k.190305.002.
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Does a parsimonious measure of complex body mass index trajectories exist?是否存在一种简约的复杂体重指数轨迹衡量方法？
Int J Obes (Lond). 2019 May;43(5):1113-1119. doi: 10.1038/s41366-018-0194-y. Epub 2018 Sep 11.
5
A systematic review of growth curve mixture modelling literature investigating trajectories of perinatal depressive symptoms and associated risk factors.一项关于生长曲线混合模型文献的系统综述，该综述调查围产期抑郁症状的轨迹及相关风险因素。
J Affect Disord. 2017 Dec 1;223:194-208. doi: 10.1016/j.jad.2017.07.046. Epub 2017 Jul 25.
Psychol Med. 2010 Aug;40(8):1367-77. doi: 10.1017/S0033291709991528. Epub 2009 Oct 29.
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Differential efficacy of escitalopram and nortriptyline on dimensional measures of depression.艾司西酞普兰和去甲替林对抑郁维度测量的差异疗效。
Br J Psychiatry. 2009 Mar;194(3):252-9. doi: 10.1192/bjp.bp.108.057554.
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Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction.使用贝叶斯潜在增长曲线模型来识别心肌梗死后积极情绪和负面事件的轨迹。
Biostatistics. 2005 Jan;6(1):119-43. doi: 10.1093/biostatistics/kxh022.
6
General growth mixture modeling for randomized preventive interventions.随机预防性干预的一般生长混合模型
Biostatistics. 2002 Dec;3(4):459-75. doi: 10.1093/biostatistics/3.4.459.
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Finite mixture modeling with mixture outcomes using the EM algorithm.使用期望最大化（EM）算法对具有混合结果的有限混合模型进行建模。
Biometrics. 1999 Jun;55(2):463-9. doi: 10.1111/j.0006-341x.1999.00463.x.
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Latent class model diagnosis.潜在类别模型诊断
Biometrics. 2000 Dec;56(4):1055-67. doi: 10.1111/j.0006-341x.2000.01055.x.
9
Random-effects models for longitudinal data.纵向数据的随机效应模型。
Biometrics. 1982 Dec;38(4):963-74.