Statistics and Methodology in Clinical Trials

临床试验中的统计和方法

• 批准号: 7655475
• 负责人: SCOTT N COMPTON
• 金额: $ 17.12万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-24 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7655475
• 关键词: Address; Anxiety Disorders; Area; Biometry; Childhood; Clinical; Clinical Trials; Complex; Data; Data Set; Decision Making; Development; Elements; Evidence based treatment; Funding; Goals; Individual; Interdisciplinary Study; Intervention Studies; Knowledge; Mentored Patient-Oriented Research Career Development Award; Mentors; Methodology; Methods; Modeling; National Institute of Mental Health; Outcome Study; Patient Care; Positioning Attribute; Principal Investigator; Reading; Research; Research Design; Research Methodology; Research Personnel; Statistical Methods; Training; Treatment outcome; career development; comparative; design; skills; statistics; symposium; treatment trial

DESCRIPTION (provided by applicant): It is widely acknowledged there are too few biostatisticians well-trained in the methods and content of psychiatric research. No where is this more true than in the area of pediatric treatment outcome studies. This Mentored Patient-Oriented Research Career Development Award (K23) is designed to provide the candidate, who already has substantial expertise as a pediatric clinical trialist, with advanced training in statistical and research methodology. The overall goal is to establish the candidate as an independent biostatistical investigator who can serve at the interface of research design, implementation, and statistical methods in pediatric interventions research and contribute to the development of new knowledge and new statistical and research methods. Exemplary mentors, with complementary skills, will advise and supervise the candidate's didactic agenda, which includes formal coursework in advanced biostatistics, directed readings, tutorials, and participation in seminars and conferences. Primary sponsor, Dr. Susan Silva, will advise the candidate's training in the area of research design, statistics, and clinical trails management. Co-sponsor, Dr. John March, will provide oversight as the candidate transitions from clinical trialist to an independent investigator with expertise in research design and advanced statistical methods, and will collaborate with the candidate on multiple NIMH- funded trials for which he is the Principal Investigator. Co-sponsors Drs. Satish lyengar, James Rochon, Marie Davidian, and Thomas Ten Have will supervise the candidate's training in advanced data analytic methods related to their area of expertise. The candidate will use available data sets from two NIMH-funded pediatric comparative treatment trials to address research questions that are of direct relevance to clinicians and individuals making decisions regarding patient care. The primary aim of the candidate's research agenda is to apply and extend data analytic methods appropriate for drawing causal inference from complex multisite pediatric comparative treatment trials [e.g., compiler average causal effect (CAGE) and structural mean model (SMM)j. The research plan also focuses broadly on applying advanced quantitative methods for analyzing clinical trials data. These analyses will help the field better understand the essential treatment elements and mechanisms associated with successful evidence-based treatments for pediatric anxiety disorders. The complementary career development and research plans will help position the candidate as an independent biostatistical investigator who will be able to make original and unique contributions in the areas of applied quantitative and clinical trials methodologies and serve as a statistical and methodological consultant to multidisciplinary research teams and make original and unique contributions to the scientific field of applied quantitative methodology and clinical trials methodologies.

描述（由申请人提供）：人们普遍认为，在精神病学研究的方法和内容方面训练有素的生物统计学家太少了。没有什么地方比儿科治疗结果研究领域更真实了。这个指导以患者为导向的研究职业发展奖（K23）的目的是提供候选人，谁已经有大量的专业知识作为儿科临床试验，在统计和研究方法的高级培训。总体目标是建立候选人作为一个独立的生物统计研究者谁可以在研究设计，实施和统计方法在儿科干预研究的接口服务，并有助于新知识和新的统计和研究方法的发展。具有互补技能的模范导师将为候选人的教学议程提供建议和监督，其中包括高级生物统计学的正式课程，指导阅读，辅导以及参加研讨会和会议。主要赞助商Susan Silva博士将为候选人在研究设计，统计学和临床试验管理领域的培训提供建议。联合发起人John March博士将在候选人从临床试验者转变为具有研究设计和先进统计方法专业知识的独立研究者时提供监督，并将与候选人合作进行多项NIMH资助的试验，他是该试验的主要研究者。共同赞助商博士萨蒂什lyengar，詹姆斯Rochon，玛丽大卫，和托马斯十有将监督候选人的培训，在先进的数据分析方法与他们的专业领域。候选人将使用来自两个NIMH资助的儿科比较治疗试验的可用数据集，以解决与临床医生和个人直接相关的研究问题。候选人研究议程的主要目的是应用和扩展数据分析方法，适用于从复杂的多中心儿科比较治疗试验中得出因果关系[例如，编译器平均因果效应（CAGE）和结构平均模型（SMM）j.研究计划还广泛侧重于应用先进的定量方法分析临床试验数据。这些分析将有助于该领域更好地理解与成功的儿科焦虑症循证治疗相关的基本治疗要素和机制。补充的职业发展和研究计划将有助于将候选人定位为独立的生物统计研究者，他们将能够在应用定量和临床试验方法领域做出原创和独特的贡献，并担任多学科研究团队的统计和方法学顾问，并为应用定量方法和临床试验的科学领域做出原创和独特的贡献。方法论。