ADVANCED STATISTICAL TECHNIQUES FOR PREVENTION RESEARCH

预防研究的先进统计技术

• 批准号: 2897581
• 负责人: CHIH-PING CHOU
• 金额: $ 11.03万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-07-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2897581
• 关键词: adolescence (12-20); behavioral /social science research tag; computer simulation; data collection methodology /evaluation; drug abuse; drug abuse prevention; growth /development; human data; longitudinal human study; mathematical model; peer group; statistics /biometry; substance abuse related disorder

In order to understand the complexity of how drug use prevention interventions may work among adolescents, more sophisticated statistical techniques will be needed. Four relevant projects have been proposed to offer broader methodological perspectives in prevention research, especially in the evaluation of intervention effects: (1) Application of the multi-sample approach with regression models and structural equation models to more adequately evaluate intervention effects on adolescents' substance use behavior; (2) Application of models incorporating developmental growth to evaluate prevention effects with adolescents' progression in substance use; (3) Application of multilevel models to investigate the impacts of school context on adolescents' substance use; and (4) Investigation of the impacts of participant attrition in prevention research. Monte Carlo (computer simulation) study and empirical study will be conducted to investigate the performance of these models applied to prevention research, particularly in the area of evaluation of prevention programs. The applicant's supporting institution is the Institute of Health Promotion and Disease Prevention Research (IPR), within the Department of Preventive Medicine, School of Medicine, University of Southern California. The principal goal of IPR is the prevention of disease. To accomplish this goal, the institute has an extensive portfolio of research protocols designed to promote primary prevention among children and adolescents. IPR research focuses on multi-component, comprehensive community approaches to prevention. IPR developed the Midwestern Prevention Project (MPP), which is a school-based substance use prevention project targeting adolescents in two Midwestern cities. The longitudinal data obtained from MPP will be made available to the applicant to perform evaluation and empirical testing of the proposed advanced statistical methods.

为了了解如何预防药物的复杂性 干预措施可能会在青少年，更复杂的统计中起作用 需要技术。 已经提出了四个相关项目 在预防研究中提供更广泛的方法论观点， 特别是在评估干预效果时：（1）应用 带有回归模型和结构方程的多样本方法 模型更充分地评估对青少年的干预效果 药物使用行为； （2）应用模型的应用 发育增长以评估青少年的预防作用 物质使用的进展； （3）将多级模型应用于 调查学校环境对青少年使用物质使用的影响； （4）调查参与者损耗在 预防研究。 蒙特卡洛（计算机模拟）研究和 将进行实证研究以调查这些表现 适用于预防研究的模型，特别是在 预防计划的评估。 申请人的支持机构是卫生研究所 促进和疾病预防研究（IPR） 南部大学医学院预防医学 加利福尼亚。 IPR的主要目标是预防疾病。到 实现这一目标，该研究所拥有广泛的研究组合 旨在促进儿童初级预防的协议和 青少年。 IPR研究的重点是多组件，全面 社区预防方法。 IPR发展了中西部 预防项目（MPP），这是一种基于学校的药物使用预防 针对中西部城市的青少年的项目。纵向 从MPP获得的数据将提供给申请人执行 提出的高级统计的评估和经验测试 方法。