忽视基线对模拟从完整认知到痴呆症转变的影响。
Effects of ignoring baseline on modeling transitions from intact cognition to dementia.
作者信息
Yu Lei, Tyas Suzanne L, Snowdon David A, Kryscio Richard J
机构信息
Department of Statistics, University of Kentucky.
出版信息
Comput Stat Data Anal. 2009 Jul 1;53(9):3334-3343. doi: 10.1016/j.csda.2009.02.007.
Abstract
This paper evaluates the effect of ignoring baseline when modeling transitions from intact cognition to dementia with mild cognitive impairment (MCI) and global impairment (GI) as intervening cognitive states. Transitions among states are modeled by a discrete-time Markov chain having three transient (intact cognition, MCI, and GI) and two competing absorbing states (death and dementia). Transition probabilities depend on two covariates, age and the presence/absence of an apolipoprotein E-epsilon4 allele, through a multinomial logistic model with shared random effects. Results are illustrated with an application to the Nun Study, a cohort of 678 participants 75+ years of age at baseline and followed longitudinally with up to ten cognitive assessments per nun.
摘要
本文评估了在将从完整认知到痴呆的转变建模时忽略基线的影响，其中将轻度认知障碍（MCI）和整体损害（GI）作为中间认知状态。状态之间的转变通过具有三个瞬态状态（完整认知、MCI和GI）和两个竞争吸收状态（死亡和痴呆）的离散时间马尔可夫链进行建模。转变概率通过具有共享随机效应的多项逻辑模型依赖于两个协变量，即年龄和载脂蛋白E-ε4等位基因的有无。通过对修女研究的应用来说明结果，该研究队列在基线时为678名75岁及以上的参与者，每位修女纵向随访多达十次认知评估。
相似文献
1
Effects of ignoring baseline on modeling transitions from intact cognition to dementia.忽视基线对模拟从完整认知到痴呆症转变的影响。
Comput Stat Data Anal. 2009 Jul 1;53(9):3334-3343. doi: 10.1016/j.csda.2009.02.007.
2
Markov Transition Model to Dementia with Death as a Competing Event.以死亡作为竞争事件的痴呆症马尔可夫转移模型。
Comput Stat Data Anal. 2014 Dec 1;80:78-88. doi: 10.1016/j.csda.2014.06.014.
3
A nonstationary Markov transition model for computing the relative risk of dementia before death.一种用于计算死亡前痴呆症相对风险的非平稳马尔可夫转移模型。
Stat Med. 2010 Mar 15;29(6):639-48. doi: 10.1002/sim.3828.
4
Transitions to mild cognitive impairments, dementia, and death: findings from the Nun Study.向轻度认知障碍、痴呆症和死亡的转变：修女研究的结果。
Am J Epidemiol. 2007 Jun 1;165(11):1231-8. doi: 10.1093/aje/kwm085. Epub 2007 Apr 12.
5
Semi-Markov models for interval censored transient cognitive states with back transitions and a competing risk.具有反向转移和竞争风险的区间删失瞬态认知状态的半马尔可夫模型
Stat Methods Med Res. 2016 Dec;25(6):2909-2924. doi: 10.1177/0962280214534412. Epub 2014 May 11.
6
Reduced rank multinomial logistic regression in Markov chains with application to cognitive data.在马尔可夫链中使用降秩多项逻辑回归及其在认知数据中的应用。
Stat Med. 2021 May 20;40(11):2650-2664. doi: 10.1002/sim.8923. Epub 2021 Mar 10.
7
Cognitive Reserve and Mild Cognitive Impairment: Predictors and Rates of Reversion to Intact Cognition vs Progression to Dementia.认知储备与轻度认知障碍：向认知完好状态逆转与向痴呆进展的预测指标和比率。
Neurology. 2022 Mar 15;98(11):e1114-e1123. doi: 10.1212/WNL.0000000000200051. Epub 2022 Feb 4.
8
Shared random effects analysis of multi-state Markov models: application to a longitudinal study of transitions to dementia.多状态马尔可夫模型的共享随机效应分析：应用于痴呆症转变的纵向研究
Stat Med. 2007 Feb 10;26(3):568-80. doi: 10.1002/sim.2437.
9
Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment.评估双向转变并识别轻度认知障碍的预测因素。
Neurology. 2023 Jan 17;100(3):e297-e307. doi: 10.1212/WNL.0000000000201386. Epub 2022 Oct 11.
10
Risk factors for transitions from normal to mild cognitive impairment and dementia.从正常状态转变为轻度认知障碍和痴呆的风险因素。
Neurology. 2006 Mar 28;66(6):828-32. doi: 10.1212/01.wnl.0000203264.71880.45.
引用本文的文献
1
Analysis of combined incident and prevalent cohort data under a proportional mean residual life model.比例平均剩余寿命模型下联合发病和现患队列数据的分析。
Stat Med. 2019 May 30;38(12):2103-2114. doi: 10.1002/sim.8098. Epub 2019 Jan 24.
2
Markov Transition Model to Dementia with Death as a Competing Event.以死亡作为竞争事件的痴呆症马尔可夫转移模型。
Comput Stat Data Anal. 2014 Dec 1;80:78-88. doi: 10.1016/j.csda.2014.06.014.
3
Are Markov and semi-Markov models flexible enough for cognitive panel data?马尔可夫模型和半马尔可夫模型对于认知面板数据的灵活性是否足够？
J Biom Biostat. 2013 Jan 1;4(1). doi: 10.4172/2155-6180.1000e122.
4
Adjusting for mortality when identifying risk factors for transitions to mild cognitive impairment and dementia.在确定向轻度认知障碍和痴呆转变的风险因素时，要调整死亡率。
J Alzheimers Dis. 2013;35(4):823-32. doi: 10.3233/JAD-122146.
5
A nonstationary Markov transition model for computing the relative risk of dementia before death.一种用于计算死亡前痴呆症相对风险的非平稳马尔可夫转移模型。
Stat Med. 2010 Mar 15;29(6):639-48. doi: 10.1002/sim.3828.
本文引用的文献
1
Transitions to mild cognitive impairments, dementia, and death: findings from the Nun Study.向轻度认知障碍、痴呆症和死亡的转变：修女研究的结果。
Am J Epidemiol. 2007 Jun 1;165(11):1231-8. doi: 10.1093/aje/kwm085. Epub 2007 Apr 12.
2
Type I and Type II error under random-effects misspecification in generalized linear mixed models.广义线性混合模型中随机效应设定错误下的I型和II型错误
Biometrics. 2007 Dec;63(4):1038-44. doi: 10.1111/j.1541-0420.2007.00782.x. Epub 2007 Apr 9.
3
Shared random effects analysis of multi-state Markov models: application to a longitudinal study of transitions to dementia.多状态马尔可夫模型的共享随机效应分析：应用于痴呆症转变的纵向研究
Stat Med. 2007 Feb 10;26(3):568-80. doi: 10.1002/sim.2437.
4
A shared random effect parameter approach for longitudinal dementia data with non-ignorable missing data.一种用于处理具有不可忽略缺失数据的纵向痴呆症数据的共享随机效应参数方法。
Stat Med. 2004 Jan 30;23(2):211-9. doi: 10.1002/sim.1710.
5
Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes.
Biometrics. 2002 Mar;58(1):137-44. doi: 10.1111/j.0006-341x.2002.00137.x.
6
Marginally specified logistic-normal models for longitudinal binary data.用于纵向二元数据的边际指定逻辑正态模型。
Biometrics. 1999 Sep;55(3):688-98. doi: 10.1111/j.0006-341x.1999.00688.x.
7
Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging.针对衰老纵向研究中存在多原因失访的纵向有序功能反应数据的混合效应逻辑回归模型。
Biometrics. 2000 Mar;56(1):279-87. doi: 10.1111/j.0006-341x.2000.00279.x.
8
Mixed effects logistic regression models for longitudinal binary response data with informative drop-out.用于具有信息性缺失的纵向二元响应数据的混合效应逻辑回归模型。
Biometrics. 1998 Mar;54(1):367-83.
9
Brain infarction and the clinical expression of Alzheimer disease. The Nun Study.脑梗死与阿尔茨海默病的临床表型。修女研究。
JAMA. 1997 Mar 12;277(10):813-7.
10
Application of random-effects probit regression models.随机效应概率单位回归模型的应用。
J Consult Clin Psychol. 1994 Apr;62(2):285-96. doi: 10.1037//0022-006x.62.2.285.
Zotero 插件