Lebanon-Epidemiology: The NCS Replication Study

描述（由申请人提供） 这项研究将主要在黎巴嫩的Balamand大学与Elie Karam合作完成，作为NIMH资助#U 01 MH 60220的扩展。本提案寻求支持在黎巴嫩复制科摩罗国家同步调查的数据分析阶段。NCS-R是美国精神障碍患病率和相关因素的全国代表性一般人群流行病学调查。黎巴嫩也采用了国家能力状况调查。然而，黎巴嫩的研究小组只得到对数据进行基本描述性分析的资金。此外，黎巴嫩小组在进行复杂的流行病学调查分析方面缺乏经验。因此，在此请求提供支助，以便为黎巴嫩的分析与国家能力状况调查-R的分析之间的协调提供资金。为此，美国调查员将担任黎巴嫩小组的顾问，并资助黎巴嫩小组进行美国小组为美国调查所进行的同样类型的详细数据分析。比较分析将是有价值的，美国的研究人员在提供复制机会的重要NCS-R结果的NCS-R和增加统计能力的分析结果，发现在两个调查是可比的。这一合作将对黎巴嫩合作者很有价值，因为它创造了一个机会，可以提高他们在流行病学调查数据分析方面的专门知识，并提供资源，对他们的数据进行比没有这种合作时更为详细的分析。

DESCRIPTION (provided by applicant) This research will be done primarily in Lebanon at the University of Balamand in collaboration with Elie Karam as an extension of NIMH grant # U01 MH60220. This proposal seeks support for a replication of the data analysis phase of the National Comorbidity Replication (NCS-R) in Lebanon. The NCS-R is a nationally representative general population epidemiological survey of the prevalence and correlates of mental disorders in the United States. The NCS-R has been replicated in Lebanon. However, the research team in Lebanon is funded only to carry out basic descriptive analyses of the data. Furthermore, the Lebanon team is inexperienced in carrying out sophisticated epidemiological survey analysis. Support is consequently requested here to fund coordination of the Lebanese analysis with the NCS-R analysis. This will be done by having the U.S. investigators serve as consultants-advisors to the Lebanese team and by funding the Lebanon team to carry out the same types of detailed data analyses that are being carried out by the U.S. team for the U.S. survey. Comparative analyses will be valuable to the U.S. investigators both in providing replication opportunities for important NCS-R results in the NCS-R and increasing statistical power for the analysis of results that are found to be comparable in the two surveys. The collaboration will be valuable to the Lebanese collaborators in creating an opportunity to enhance their expertise in epidemiological survey data analysis and in providing resources for much more detailed analyses of their data than they would have otherwise.