STATISTICAL METHODS IN HUMAN DEVELOPMENT/CLINICAL STUDIES

该项目旨在开发新的统计 人类发展问题的技术和应用 以新颖的方式解决这些问题。工作 继续在三个方面：（1）了解出生体重 在人群中的分布，（2）开发测试方法 无论对数链接还是对数链接更适合于给定的数据集， (3)了解年龄、时期和队列对癌症的影响 发病率。我们最近阐明了舍入的过程， 从盎司到克的转换，以及按重量分类的分组 在联合航空公司中产生了人为的锯齿状频率多边形 国家出生体重分布显示在100克箱比较 从原来的重量单位是克的国家。 我们正在开发一个单参数系列的链接函数， 对二元结果进行建模，使数据分析师能够使用 似然比统计，以检查日志链接或logit 链接更适合给定的数据集。同期队列模型是 通常用于检查癌症随时间的变化 发病率。我们将应用这些模型来分析最近的更新 的SEER数据，并研究如何解释这种分析， 鉴于年龄、时期和 模型公式中固有的群组效应。

This project seeks to develop new statistical techniques for problems in human development and to apply existing techniques to those problems in novel ways. Work continues in three areas: (1) understanding the birth weight distribution in human populations, (2) developing methods to test whether log link or the logit link is better suited to a given data set, (3) understanding age, period, and cohort effects on cancer incidence. We have recently elucidated a process of round-off, conversion from ounces to grams, and grouping into weight classes that induces an artifactually jagged frequency polygon in United States birth weight distributions displayed in 100-g bins compared to those from countries where the original weight units are grams. We are developing a one-parameter family of link functions for modeling binary outcomes that allow the data analyst to use likelihood ratio statistics to examine whether a log link or a logit link better suits a given data set. Age-period-cohort models are commonly used to examine changes through time in cancer incidence. We will apply these models to analyze the recent update of the SEER data and examine how to interpret such analyses in light of the confounding among linear trends in age, period, and cohort effects inherent in the model formulation.