ANALYTICAL METHODS FOR OBSERVATIONAL DRUG USER COHORTS
观察吸毒者群体的分析方法
基本信息
- 批准号:2898014
- 负责人:
- 金额:$ 43.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-07-01 至 2001-05-31
- 项目状态:已结题
- 来源:
- 关键词:HIV infections clinical research comorbidity computer program /software disease /disorder proneness /risk drug abuse health care cost /financing health care service utilization human immunodeficiency virus 1 human morbidity human mortality human subject longitudinal human study method development model design /development pathologic process relapse /recurrence statistics /biometry substance abuse epidemiology
项目摘要
DESCRIPTION: (Applicant's Abstract)
NIDA and other agencies have recently funded numerous longitudinal
observational cohort studies of health/behavior in illicit drug users that
have already provided invaluable information. However, new analytic methods
for this observational cohort data are needed to answer important questions
about (i) the current/changing patterns of morbidity and death in drug users
and (ii) the usage, costs, and benefits of interventions. As observational
cohort data have not existed in large amounts until recently, methods of
analysis for such data are not well developed. This project proposes to
develop needed statistical/epidemiological methods to further analyze
existing observational drug user cohort data. A comprehensive
statistical/epidemiological team will develop and apply methodology with
support from drug use study experts. Ten large studies will collaborate in
modeling and applications towards their data. Four major areas of
statistical/epidemiological research relevant to longitudinal observational
drug user data will be developed: (1) Description and analysis of competing
events that constitute the natural history of drug use related disease and
morbidity (i.e., AIDS, tuberculosis, hepatitis, overdoses, endocarditis,
etc.); (2) Adjustment for epidemiological biases to allow comparison of HIV
disease progression in drug users versus other risk groups and estimation of
treatment effects on this disease progression; (3) Nonparametric models to
more accurately describe complicated relationships (linear, survival and
other) occurring in observational drug user data; (4) Analysis of repeated
events such as costs, duration and timing of repeating drug related
conditions (i.e., hospitalizations, sexually transmitted diseases, relapses
to addiction).
This project will develop epidemiological/statistical tools to analyze
illicit drug user data and document these methods for future use (i.e., with
software). It will perform simultaneous comparative analysis of research
questions in many observational drug cohort datasets. These analyses will
resolve key medical and scientific issues concerning the epidemiology of
HIV-1 and other diseases in drug users.
描述:(申请人摘要)
NIDA和其他机构最近资助了许多纵向
非法药物使用者健康/行为的观察性队列研究,
已经提供了宝贵的信息。 新的分析方法
对于这种观察性队列数据,需要回答重要的问题
(一)吸毒者发病率和死亡率的当前/不断变化的模式
以及(ii)干预措施的使用、成本和收益。 为观察
队列数据直到最近才大量存在,
对这些数据的分析还不完善。 该项目提出,
开发所需的统计/流行病学方法,以进一步分析
现有的观察性吸毒者队列数据。 全面
统计/流行病学小组将制定和应用方法,
药物使用研究专家的支持。 十项大型研究将在
对数据进行建模和应用。 四大领域
与纵向观察有关的统计/流行病学研究
吸毒者数据将开发:(1)描述和分析竞争
构成药物使用相关疾病自然史的事件,
发病率(即,艾滋病,肺结核,肝炎,药物过量,心内膜炎,
等); (2)对流行病学偏倚进行调整,以便对艾滋病毒进行比较
药物使用者与其他风险群体的疾病进展,
治疗对该疾病进展的影响;(3)非参数模型,
更准确地描述复杂的关系(线性,生存和
其他)发生在观察性药物使用者数据中;(4)重复分析
事件,如费用,持续时间和时间的重复药物相关
条件(即,住院、性传播疾病、复发
成瘾)。
该项目将开发流行病学/统计工具,
非法药物使用者数据并记录这些方法以供将来使用(即,与
软件)。 它将同时进行研究的比较分析
许多观察性药物队列数据集中的问题。 这些分析将
解决与流行病学有关的关键医学和科学问题,
吸毒者中的艾滋病毒-1和其他疾病。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Compliance subsampling designs for comparative research: estimation and optimal planning.
用于比较研究的合规二次抽样设计:估计和最优规划。
- DOI:10.1111/j.0006-341x.2001.00899.x
- 发表时间:2001
- 期刊:
- 影响因子:0
- 作者:Frangakis,CE;Baker,SG
- 通讯作者:Baker,SG
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{{ truncateString('Mei Cheng Wang', 18)}}的其他基金
ANALYTICAL METHODS FOR OBSERVATIONAL DRUG USER COHORTS
观察吸毒者群体的分析方法
- 批准号:
2331185 - 财政年份:1997
- 资助金额:
$ 43.59万 - 项目类别:
ANALYTICAL METHODS FOR OBSERVATIONAL DRUG USER COHORTS
观察吸毒者群体的分析方法
- 批准号:
2713134 - 财政年份:1997
- 资助金额:
$ 43.59万 - 项目类别:
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