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）：确定酒精中毒的有效治疗方法和过渡或模式饮用的预测因素是NIAAA的重要目标。在临床研究中，适当的饮酒结局的推导通常可能存在争议。初级饮酒和次要的非饮酒结果，例如情绪和生活质量，都是评估治疗效果的重要结果。但是，通常使用的自我报告饮酒的摘要并未提供有关治疗和时间依赖合并症对日常饮酒行为的影响的信息。为了适当地对这些变量的饮酒和非饮酒结果的演变进行建模，应在这种情况下开发用于密集测量的纵向反应的统计方法。他们应处理使用各种指标测量的结果，并取决于多个时间变化的因素。他们还应减轻自我报告固有的测量误差的效果，因为通常使用基于日历的召回方法进行饮酒摘要。最后，方法应该使自己同时进行饮酒和次要非抓斗结果的联合建模。当前的统计方法并未在统一框架下解决所有这些问题。目标：使用贝叶斯范式，拟议的研究将开发出可靠的统计方法，以解决以上所有评估饮酒和非饮酒行为有效性的挑战，并评估依赖时间的协变量对饮酒的演变的相关性。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：酒精依赖性（联合）临床试验（n = 1383）的合并药物治疗和行为干预措施以及一项前瞻性合并症研究（n = 663），以评估对酒精和其他物质依赖性进程的主要抑郁症。可用的数据和研究设计：每天或每周的反应，例如饮酒，其他药物使用，情绪，抑郁症状，渴望，压力和生活质量，并将评估为结果。治疗状况，人口统计，基线措施和先前的精神病/健康疾病将充当基线变量，相关的医学状况，不良事件以及精神疾病的发作，例如在整个研究中测量的主要抑郁症，将作为模型中的预测因子。两项研究都过度代表少数参与者，并包括高比例的女性。意义：新的统计方法将为酒精研究人员提供对原发性饮酒和继发性非抓斗结果的行为演变的丰富描述，以应对治疗和时间依赖的合并症。

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.