CORE--STATISTICS

核心--统计

• 批准号: 6585823
• 负责人: BURTON H. SINGER
• 金额: $ 6.05万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6585823
• 关键词: aging; behavior; behavioral genetics; biomedical facility; computer assisted instruction; epidemiology; health; longitudinal human study; mathematical model; social psychology; statistical service /center; statistics /biometry; training; twin /multiplet; workshop

This core will provide statistical advice and recommendations to all projects. It will facilitate the application of several novel statisticalm ethods for combining data across multiple domains, including recursive partitioning implemented as tree-structured regression- grade-of-membership(GoM)models, and person-centered analysis of longitudinal data. Statistical methods for the analysis of twin at a will be an important theme of this core. Strategies for integrating data collected on different time scales - e.g. daily diaries, panel data with a 7-year inter wave window, and retrospective data referring to irregularly spaced(in time) events - will alsobe a central feature of this core. Training work shops, targeted at investigators on all projects and new investigators with projects in the pilot core, will be given twice each year for five consecutive years, beginning in the second year of the project. The workshops will feature the novel statistical methods mentioned above and behavioral genetics models suited to the studyof twin data in the MIDUS population. Workshops on the novel statistical methods will be conducted by Dr. Singer and,for twin studies, by Drs. Robert Krueger and Ron Kessler.

该核心将向所有项目提供统计咨询和建议。它将促进几种新的分析方法的应用，用于跨多个领域组合数据，包括递归分区实现为树结构回归等级隶属度（GoM）模型，以及以人为中心的纵向数据分析。统计学方法对双生子的分析将是这一核心的重要课题。整合在不同时间尺度上收集的数据的战略-例如每日日记、具有7年波间窗口的面板数据以及涉及不规则间隔（时间）事件的回顾性数据-也将是这一核心的一个核心特征。从项目第二年开始，将连续五年每年举办两次培训讲习班，对象是所有项目的调查员和试点核心项目的新调查员。研讨会将采用上述新颖的统计方法和行为遗传学模型， 对MIDUS人群中双胞胎数据的研究。关于新统计方法的研讨会将由Singer博士主持，对于双胞胎研究，将由Robert Krueger博士和罗恩凯斯勒博士主持。