Advanced Analysis of the Development of Alcohol Problems

酒精问题发展的高级分析

• 批准号: 6795315
• 负责人: BENGT Olov MUTHEN
• 金额: $ 19.66万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2006-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6795315
• 关键词: alcoholism /alcohol abuse; alcoholism /alcohol abuse prevention; behavioral /social science research tag; clinical research; data collection methodology /evaluation; human data; information dissemination; longitudinal human study; mathematical model; method development; statistics /biometry; training

DESCRIPTION (provided by applicant): This K02 renewal proposal describes three major aims: To develop new statistical methods to better answer substantive questions in alcohol research related to the development and prevention of alcohol problems, to collaborate with alcohol researchers on advanced statistical analysis of their data, and to disseminate information on the new methods so that others in the alcohol fields can benefit from them. Five areas of statistics integral to the study of the development and prevention of alcohol problems will be studied: mixture data analysis, categorical and other non-normal data analysis, multilevel data analysis, missing data analysis, and longitudinal analysis. Within the area of longitudinal analysis three topics will be studied: Extensions of survival analysis, randomized trials, and power and design issues. Collaboration with researchers on the analysis of their alcohol data will involve advanced analyses of several longitudinal data sets concerned with alcohol problems. Dissemination of information on the new methods developed within the project will take place through the publication of substantively- and methodologically-oriented articles, presentations at alcohol and statistical meetings, training sessions, visits at alcohol research centers, and hosting visitors at my UCLA methods group. Two major types of career development and training activities are planned within the K02: Training on substantive research issues related to the development and prevention of alcohol problems and advanced statistical training. The central part of the substantive training will occur through collaboration with a few key experts in alcohol and related fields.

描述（由申请人提供）：本K02更新提案描述了 三大目标：开发新的统计方法，以更好地回答 酒精研究中的实质性问题， 预防酒精问题，与酒精研究人员合作， 先进的数据统计分析，并传播信息， 新方法，以便酒精领域的其他人可以从中受益。 统计的五个领域是研究发展和 将研究酒精问题的预防：混合数据分析， 分类和其他非正态数据分析，多水平数据分析， 缺失数据分析和纵向分析。的区域内 纵向分析将研究三个主题：生存期延长 分析、随机试验、功效和设计问题。协同 研究人员对他们的酒精数据的分析将涉及先进的 分析几个纵向数据集有关酒精问题。 传播关于在项目范围内开发的新方法的信息 将通过实质性的出版物进行， 方法论为导向的文章，在酒精和统计介绍 会议，培训课程，酒精研究中心的访问，以及主办 加州大学洛杉矶分校方法小组的访客 规划了两大类职业发展和培训活动 在K02范围内：关于 酒精问题的发展和预防以及先进的统计 训练实质性培训的核心部分将通过 与酒精和相关领域的一些关键专家合作。