Winter Workshop on Longitudinal Data Analysis

纵向数据是在一段时间内对实验单元进行重复测量的结果。由于科学兴趣往往在于反应如何随时间变化，这些数据出现在各种领域的观察和实验研究中。纵向数据分析中困难的理论问题的创造性解决方案往往依赖于计算密集型方法。纵向方法研讨会吸引了广泛的研究人员，他们对从临床试验到社会行为再到环境评估等不同的统计兴趣。基于不同数据集进行推断的挑战吸引了那些对理论和方法统计感兴趣的人。最后，在现有统计方法不令人满意的情况下，接受分析非正统数据的挑战，这种兴奋无疑会吸引关注统计应用的研究人员。本次研讨会将为纵向方法的理论发展和实际应用的进步之间的积极互动提供一个论坛。纵向数据分析讲习班的具体目标及其可能产生的更广泛的影响是引起全国研究人员（特别是年轻研究人员）以及佛罗里达大学和邻近大学的教员和研究生对这一专题的兴趣；鼓励未来研究人员之间的合作；促进纵向数据理论和应用的发展。

Longitudinal data are the result of taking repeated measurements on experimental units over time. Because scientific interest often lies in how a response changes over time, these data arise in both observational and experimental studies in a wide variety of fields. Creative solutions to difficult theoretical issues in longitudinal data analysis often rely on computationally intensive methods. A workshop on longitudinal methods appeals to a wide spectrum of researchers with diverse statistical interests ranging from clinical trials to social behavior to environmental assessment. The challenge of drawing inferences based on diverse datasets attracts those interested in theoretical and methodological statistics. Finally, the excitement of accepting the challenge of analyzing unorthodox data where existing statistical methodology is not satisfactory will undoubtedly fascinate researchers concerned with applications of statistics. This workshop will provide a forum for the positive interaction between theoretical developments and advances in practical applications of longitudinal methods. The specific objectives of the workshop on longitudinal data analysis, and consequently its potential broader impacts, are to generate interest in this topic among researchers nationwide (particularly young researchers) and among faculty and graduate students at the University of Florida and neighboring universities; to encourage future collaborations among researchers; and to promote advances in both the theory and application of longitudinal data.