PRC PROJECT THOMPSON

中国汤普森项目

• 批准号: 8202456
• 负责人: STEWART ANDERSON
• 金额: $ 9.2万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8202456
• 关键词: Address; Aftercare; Anxiety; Anxiety Disorders; Automobile Driving; Biological; Biological Markers; Clinical; Clinical Trials; Cognition; Collection; Communities; Computer software; Computers; Data; Data Analyses; Development; Diagnosis; Distress; Dose; Drug Formulations; Early treatment; Elderly; Electronics; Frequencies; Future; Goals; Grant; Health Care Costs; Incidence; Individual; Intervention; Lead; Life; Major Depressive Disorder; Measurement; Mediator of activation protein; Mental Depression; Methodology; Methods; Modeling; Morbidity - disease rate; Notification; Onset of illness; Outcome; Pain; Pattern; Performance; Phase; Population; Prevention; Preventive; Preventive Intervention; Probability; Publishing Peer Reviews; Recording of previous events; Research; Research Personnel; Risk; Risk Assessment; Risk Factors; Self Efficacy; Severities; Sleep; Specific qualifier value; Statistical Methods; Statistical Models; Subgroup; Symptoms; Testing; Time; Translating; Update; Work; base; biosignature; clinically significant; computer based statistical methods; cost effectiveness; design; disability; flexibility; geriatric depression; graduate student; health related quality of life; improved; method development; mortality; novel; post intervention; prevent; prognostic; psychologic; research clinical testing; research study; response; simulation; social; symposium; tool; user friendly software

Dynamic Individualized Prediction of Depression Onset Project Dr. Thompson will lead the "Dynamic Individualized Prediction of Depression Onset Project". Working closely with Dr. Anderson, Dr. Thompson will develop a Prognostic Bayesian Network (PBN) methodology for applications to preventive outcomes in late life depression. He will implement these methods on existing and ongoing Center-affiliated studies. Dr. Thompson will also develop a freely-available user-friendly software package implementing these methods aimed at late-life depression researchers for use in data analysis and in designing new research studies. He will take the lead in publishing peer-reviewed articles and giving conference talks to publicize this research to a broader audience. Finally, he will work closely with Dr. Anderson in co-directing a graduate student researcher.

抑郁症发作动态个体化预测项目 汤普森博士将领导“抑郁发作的动态个体化预测项目”。 Thompson 博士将与 Anderson 博士密切合作，开发一种预测贝叶斯网络 (PBN) 方法，用于晚年抑郁症的预防结果。他将在现有和正在进行的中心附属研究中实施这些方法。汤普森博士还将开发一个免费提供的用户友好软件包，针对晚年抑郁症研究人员实施这些方法，用于数据分析和设计新的研究。他将带头发表同行评审的文章并进行会议演讲，向更广泛的受众宣传这项研究。最后，他将与安德森博士密切合作，共同指导一名研究生研究员。