Robust Transition Models for the Analysis of Longitudinal Drinking Outcomes

用于分析纵向饮酒结果的稳健转变模型

基本信息

批准号：
8787586
负责人：
Dipankar Bandyopadhyay
金额：
$ 6.28万
依托单位：
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-09-10 至 2014-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8787586
关键词：
Robust Transition Models Analysis Longitudinal

项目摘要

DESCRIPTION (provided by applicant): Identifying effective treatments for alcoholism and predictors of transitional or pattern drinking are important goals of the NIAAA. In clinical studies, the derivation of appropriate drinking outcomes is often subject to debate. Both primary drinking and secondary non drinking outcomes, such as mood and quality of life, are important outcomes via which to assess treatment effects. However, commonly used summaries of self-reported drinking do not provide information about the effect of treatment and time dependent comorbidities on daily drinking behavior. To appropriately model the evolution of drinking and non drinking outcomes in response to these variables, statistical methods for densely measured longitudinal responses should be developed for use in this setting. They should handle outcomes that are measured using various metrics and that are dependent on multiple time varying factors. They should also mitigate the effect of measurement error inherent in self-report, as drinking summaries are typically reported using a calendar based method of recall. Finally, methods should lend themselves to simultaneous joint modeling of drinking and secondary nondrinking outcomes. Current statistical methods do not address all of this under a unified framework. Goals: Using a Bayesian paradigm, the proposed study will develop robust statistical methods addressing all of the above challenges for assessing treatment effectiveness on drinking and non drinking behavior, and for assessing the relevance of time dependent covariates on the evolution of drinking. Software will be developed and disseminated freely. Subjects: The statistical methods will be evaluated on two datasets, the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) clinical trial (n=1383) and a prospective comorbidity study (n=663) assessing major depressive disorder on the course of alcohol and other substance dependence. Available data and study design: Daily or weekly responses such as drinking, other substance use, mood, depressive symptoms, craving, stress, and quality of life were collected and will be evaluated as outcomes. Treatment status, demographics, baseline measures, and prior psychiatric/health disorders will serve as baseline variables, and relevant medical status, adverse events, and onset of psychiatric disorders such as major depressive disorder that were measured throughout the studies will serve as predictors in the models. Both studies have an over representation of minority participants and include women in high proportions. Significance: The new statistical methods will provide alcohol researchers with a rich description of the behavioral evolution of primary drinking and secondary nondrinking outcomes in response to treatment and time dependent comorbidities throughout the course of these studies.

描述（由申请人提供）：确定酗酒的有效治疗方法以及过渡性或模式性饮酒的预测因素是 NIAAA 的重要目标。在临床研究中，适当饮酒结果的推导经常受到争议。原发性饮酒和继发性非饮酒结果（例如情绪和生活质量）都是评估治疗效果的重要结果。然而，常用的自我报告饮酒总结并未提供有关治疗和时间依赖性合并症对日常饮酒行为的影响的信息。为了适当地模拟饮酒和不饮酒结果对这些变量的反应，应开发用于这种情况的密集测量纵向反应的统计方法。他们应该处理使用各种指标衡量的结果，并且这些结果取决于多个随时间变化的因素。他们还应该减轻自我报告中固有的测量误差的影响，因为饮酒总结通常是使用基于日历的回忆方法来报告的。最后，方法应该有助于对饮酒和继发性非饮酒结果进行同步联合建模。当前的统计方法并没有在统一的框架下解决所有这些问题。目标：使用贝叶斯范式，拟议的研究将开发稳健的统计方法，解决上述所有挑战，以评估饮酒和不饮酒行为的治疗效果，并评估时间依赖性协变量与饮酒演变的相关性。软件将自由开发和传播。受试者：统计方法将在两个数据集上进行评估，即酒精依赖联合药物治疗和行为干预 (COMBINE) 临床试验 (n=1383) 和评估酒精过程中重度抑郁症的前瞻性合并症研究 (n=663)和其他物质依赖。现有数据和研究设计：收集每日或每周的反应，如饮酒、其他物质使用、情绪、抑郁症状、渴望、压力和生活质量，并将作为结果进行评估。治疗状态、人口统计、基线测量和既往精神/健康疾病将作为基线变量，整个研究中测量的相关医疗状况、不良事件和精神疾病（如重度抑郁症）的发作将作为预测变量模型。这两项研究的少数族裔参与者代表性过高，并且女性比例很高。意义：新的统计方法将为酒精研究人员提供对在整个研究过程中针对治疗和时间依赖性合并症的原发性饮酒和继发性非饮酒结果的行为演变的丰富描述。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A randomized, double-blind, placebo-controlled clinical trial of acamprosate in alcohol-dependent individuals with bipolar disorder: a preliminary report.

阿坎酸在酒精依赖型双相情感障碍患者中的随机、双盲、安慰剂对照临床试验：初步报告。

DOI：
10.1111/j.1399-5618.2011.00973.x
发表时间：
2012
期刊：
Bipolar disorders
影响因子：
5.4
作者：
Tolliver,BryanK;Desantis,StaciaM;Brown,DelisaG;Prisciandaro,JamesJ;Brady,KathleenT
通讯作者：
Brady,KathleenT

Analyzing Propensity Matched Zero-Inflated Count Outcomes in Observational Studies.