Stat. Analysis in Minority Mental Health Services Res.

精神卫生服务研究的进展高度依赖于研究程序，措施和研究人员可用的数据分析策略的质量。随着知识基础的扩大和深化，必须解决越来越微妙和复杂的问题。为此，需要开发或调整日益复杂和精确的方法、措施和分析策略。 特别是由于处理缺失数据的现代方法借鉴了先进的统计计算技术，因此，为了在这一领域取得进展，必须进行高水平的统计培训。 通过由生物统计学和加州大学洛杉矶分校神经精神卫生服务研究中心提供的培训，该奖项的获得者将准备进入并作为研究者和生物统计学家为精神卫生服务研究领域做出贡献。

DESCRIPTION (provided by applicant): Advances in mental health services research are highly dependent on the quality of research procedures, measures, and data analytic strategies available to investigators. As the knowledge base broadens and deepens, questions of increasing subtlety and complexity must be addressed. To do so requires the development or adaptation of increasingly more sophisticated and precise methods, measures, and analytic strategies. In particular because modern methods for handling missing data draw on advanced statistical computing techniques high level statistical training is imperative in order to make progress in this area. Through training provided by the UCLA Department of Biostatistics and the UCLA Neuropsychiatric Health Services Research Center, the recipient of this award will be prepared to enter and contribute to the field of mental health services research as an Investigator and a Biostatistician.