Statistical Methods For Longitudinal And Other Studies

纵向研究和其他研究的统计方法

• 批准号: 7594151
• 负责人: Kai F Yu
• 金额: $ 27.32万
• 依托单位: EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
• 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/7594151
• 关键词: Alabama; Algorithms; Biological Markers; Clinical Trials; Computer Simulation; Computers; Data; Data Analyses; Development; Diagnostic; Disease regression; Epidemiologic Studies; Fetal Growth; Future; Goals; Health; Investigation; Longitudinal Studies; Measurement; Methodology; Methods; Modeling; Motivation; National Institute of Child Health and Human Development; Perinatal; Perinatal Epidemiology; Pregnancy Outcome; Probability; Procedures; Property; Risk Factors; Sampling; Scandinavia; Small for Gestational Age Infant; Staging; Statistical Methods; Techniques; Testing; Time; Vagina; design; discrete data; reproductive; reproductive epidemiology; simulation; sound; statistics; theories

This project will investigate theory, methods and applications of mathematical statistics and probability, with particular emphasis on the problems with data collected by NICHD. Current focus is on 1) the analysis of data arising from longitudinal studies with repeated measurements, 2)nonparametric procedures, 3) likelihood approaches to nonparametric two-sample problem for right-censored data, 4) sequential clincial trials, and 5) general methodology for reproductive and perinatal epidemiology. Examples of NICHD projects on longitudinal studies are Successive Small-for-Gestational Age Study I and Study II in Alabama and Scandinavia, and the Longitudinal Study of Vaginal Flora. A host of statistical procedures for estimation and hypothesis testing will be proposed and investigated for the time varying coefficient models via their asymptotic properties and simulations. Applications will be developed to handle questions concerning various issues in perinatal and reproductive epidemiology. New and rigorous statistical methods and algorithms will be generated and validated through investigation of their statistical and probabilistic properties. Computer-intensive techniques such as bootstrapping methodology will be investigated for the relevant problems. Among the applications of the developed methodology are fetal growth, maternal risk factors and pregnancy outcomes. Regression models for unbalanced longitudinal ordinal data will be studied. Major motivation and application come from the Longitudinal Study of Vaginal Flora. One direction is to develop sequential methodologies for clinical trials. Particular focus will be on the estimation problems following the termination of a clinical trial. Adaptive designs in clinical trials will be studied. Also under investigation is the incorporation of partial overrruning into the final analysis of a sequential clinical trial. Longitudinal analysis for discrete data and sequential adaptive designs will be the major focus for the near future. Point and interval estimation for two-stage adaptive procedures will be studied. A two-stage adaptive procdeure will be designed for the selection of the best diagnostic biomarker.

该项目将研究数学统计和概率的理论，方法和应用，并特别强调NICHD收集的数据问题。目前的重点是1）通过重复测量的纵向研究产生的数据分析，2）非参数程序，3）对于右手数据的非参数两样本问题的可能性方法，4）序列层clincial层试验和5）5）用于生殖性和截肢性和围产期流行病学的一般方法。纵向研究的NICHD项目的例子是在阿拉巴马州和斯堪的纳维亚半岛连续的胎龄研究I和研究II，以及阴道菌群的纵向研究。将通过其渐近性能和模拟来提出大量用于估计和假设检验的统计程序。将开发应用程序来处理有关围产期和生殖流行病学各种问题的问题。 通过研究其统计和概率特性，将生成和验证新的和严格的统计方法和算法。将针对相关问题研究计算机密集型技术，例如引导方法。在开发方法的应用中，有胎儿的生长，母体危险因素和妊娠结局。将研究不平衡纵向序数数据的回归模型。主要动机和应用来自阴道菌群的纵向研究。 一个方向是开发用于临床试验的顺序方法。 临床试验终止后，特别的重点将放在估计问题上。将研究临床试验中的自适应设计。 还在研究的是，将部分过度缩入纳入顺序临床试验的最终分析中。离散数据和顺序自适应设计的纵向分析将是不久的将来的主要重点。 将研究两阶段自适应程序的点和间隔估计。 将设计一个两阶段的自适应procdeure，以选择最佳的诊断生物标志物。