Research Methods Core

研究方法核心（RMC）Jim Mintz、C Bowden、道格拉斯E威廉姆森 “什么是设计？...它是你站在两个世界的地方-技术的世界和 人和人类的目的-你试图把两者结合在一起” ~Mitchell Kapor，《将设计带入软件》（第1章） RMC概述 修订后的研究方法核心的方法项目分为四个研究单元： 1.临床评估的创新将继续致力于我们的BISS综合评估， 验证西班牙语和自我评估版本，并扩展先前关于生命测量的工作 从青少年的压力到成年人的评估。 2.定性研究方法将应用一套基于概念的定性方法， BD临床治疗和干预研究中民族文化因素的研究 3.纵向结果的新统计方法提出了旨在 使用潜变量模型对BD结果轨迹的经验描述。 4.传播和教育的重点是利用互联网解决临床问题，如耻辱， 传播a）研究结果，以西班牙裔和整个社区和B）研究问题，如数据 在多地点和基于社区的研究中的捕获和项目管理。 A.领导和指导委员会（SC）。RMC将由研究人员Jim Mintz指导， 精神病学研究的方法学家和应用生物统计学家，其经验和资格 总结在OC部分。Mintz、Bowden和威廉姆森博士将组成RMC指导委员会 活动SC将负责1）协调RMC与OC和 项目以及其他单独供资的项目，这些项目使用联合国的行政结构或资源， ACISIR，2）在第2年和第3年，SC将每年征求一次新项目提案，供资1-2年， 以取代已完成的项目。提案将由常设委员会与特设审查员一起审查 3）规划一项战略，用于传达开发或研究的新方法 在全国范围内通过ACISR。SC将至少每季度召开一次会议，并报告实现 每年向ACISR OCom报告RMC的目标。Mintz博士将全权负责RMC的目标， 单位的监督。下文列出了具体举措的责任。 B。在RMC单位提出的工作背景。在开发方法项目时，我们的主要标准 该项目解决并加强了一个或多个中国项目，并雅阁以下主题： ACISR（概述，A.8）。中国的每个发展项目都有与文化变量相关的目标， 因此，将受益于与文化、种族或语言有关的方法发展。两个统计 先前提案中提出的方法;多状态结果和科普缺失数据的方法， 由NIH挑战奖单独资助，因此将在2011年底得到充分发展 适用于PRC研究的数据集，特别是方法开发研究。这两个分析 结合单元3中的潜在增长混合物建模的方法可能特别有利 在评估BD固有的多个结果领域时， LOCF环境和单维度量表上的单点时间总分。这些方法和 它们产生的解释性结果可以帮助医生根据对以下方面的总体知识选择干预措施： 风险和耐受性以及这种复杂疾病的症状益处。

RESEARCH METHODS CORE (RMC) Jim Mintz, C Bowden, Douglas E Williamson "What is design? ... It's where you stand with a foot in two worlds - the world of technology and the world of people and human purposes - and you try to bring the two together" ~Mitchell Kapor, Bringing Design to Software (Ch. 1) OVERVIEW OF THE RMC The methods projects of the revised Research Methods Core are organized into four research Units: 1. Innovations in Clinical Assessment will continue work on our BISS comprehensive assessment by validating a Spanish language and a self assessed version, and extend prior work on measurement of life stress in adolescents to assessment in adults. 2. Qualitative Research Approaches will apply a conceptually-based set of qualitative methods to the study of ethnocultural factors in clinical treatment and intervention research in BD. 3. Novel Statistical Approaches to Longitudinal Outcome proposes statistical research aimed at empirical description of BD outcome trajectories using latent variable models. 4. Dissemination and Education focuses on uses of the Internet to address clinical issues such as stigma, dissemination of a) research findings to Hispanic and overall communities and b) research issues such as data capture and project management in multi-site and community-based research. A. Leadership and Steering Committee (SC). The RMC will be directed by Jim Mintz, a research methodologist and applied biostatistician in psychiatric research whose experience and qualifications are summarized in the OC section. Drs. Mintz, Bowden and Williamson will form a steering Committee for RMC activities. The SC will be responsible for 1) coordinating activities conducted by the RMC with the OC and the PRC as well as other separately funded projects that use either the administrative structure or resources of the ACISIR, 2) in years 2 & 3 the SC will solicit once yearly proposals for new projects to be funded for 1-2 years, to replace those projects which reach completion. Proposals will be reviewed by the SC with ad hoc reviewers as dictated by the proposal and 3) planning a strategy for conveying novel methodologies developed or studied through the ACISR nationally. The SC will meet at least quarterly, and report progress toward accomplishing the aims of the RMC to the ACISR OCom annually. Dr. Mintz will have overall authority for RMC aims and oversight of units. Responsibilities for specific initiatives are listed below. B. Background to Work Proposed in RMC Units. In developing methods projects our principal criterion was that the project address and enhance one or more of the PRC projects and be in accord with the theme of the ACISR (Overview, A.8). Each Developmental Project in the PRC has aims relevant to cultural variables, thus will benefit from methods development related to culture, ethnicity or language. Two other statistical approaches proposed in the prior proposal; multi-state outcomes and methods to cope with missing data, have been separately funded by an NIH Challenge award, and will therefore be sufficiently developed by late 2011 to be applied to the data sets in PRC studies, particularly the methods development study. These two analytic approaches, in conjunction with the latent growth mixture modeling in Unit 3, may be particularly advantageous in assessing the multiple domains of outcomes inherent in BD which escape identification in the current environment of LOCF and single point in time total score on unidimensional scales. These methods and the explanatory results they yield can aid physicians in selection of interventions based on overall knowledge of risks and tolerability as well as symptomatic benefit of this complex disorder.