CORE--STATISTICS

该核心将向所有项目提供统计咨询和建议。它将促进几种新的统计方法的应用，以组合多个领域的数据，包括以树形结构回归隶属度(GOM)模型实现的递归划分，以及以人为中心的纵向数据分析。双胞胎的统计分析方法将是这一核心的一个重要主题。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年波间窗口的小组数据，以及涉及不规则间隔(时间)事件的追溯数据--也将是这一核心的核心特征。针对所有项目的调查员和具有试点核心项目的新调查员的培训工作坊，将从项目第二年开始，连续五年每年举办两次。工作坊将展示上述新的统计方法和适用的行为遗传学模型 对MIDUS人群中双胞胎数据的研究。关于新的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Ron Kessler博士主持。

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.