Suppr超能文献

一种估算当前日历年美国及州级癌症发病率计数的新方法。

A new method of estimating United States and state-level cancer incidence counts for the current calendar year.

作者信息

Pickle Linda W, Hao Yongping, Jemal Ahmedin, Zou Zhaohui, Tiwari Ram C, Ward Elizabeth, Hachey Mark, Howe Holly L, Feuer Eric J

机构信息

Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.

出版信息

CA Cancer J Clin. 2007 Jan-Feb;57(1):30-42. doi: 10.3322/canjclin.57.1.30.

Abstract

The American Cancer Society (ACS) has published the estimated number of new cancer cases and deaths in the current year for the United States that are commonly used by cancer control planners and the media. The methods used to produce these estimates have changed over the years as data (incidence) and statistical models improved. In this paper we present a new method that uses statistical models of cancer incidence that incorporate potential predictors of spatial and temporal variation of cancer occurrence and that account for delay in case reporting and then projects these estimated numbers of cases ahead 4 years using a piecewise linear (joinpoint) regression method. Based on evidence presented here that the new method produces more accurate estimates of the number of new cancer cases for years and areas for which data are available for comparison, the ACS has elected to use it to estimate the number of new cancer cases in Cancer Facts & Figures 2007 and in Cancer Statistics, 2007.

摘要

美国癌症协会(ACS)公布了美国当年常见癌症新发病例和死亡人数的估计值,这些数据被癌症控制规划者和媒体广泛使用。随着数据(发病率)和统计模型的改进,多年来用于生成这些估计值的方法也有所变化。在本文中,我们提出了一种新方法,该方法使用癌症发病率统计模型,纳入癌症发生的空间和时间变化的潜在预测因素,并考虑病例报告的延迟,然后使用分段线性(连接点)回归方法预测未来4年的这些估计病例数。基于此处提供的证据,即新方法对有数据可供比较的年份和地区的新癌症病例数产生了更准确的估计,美国癌症协会已选择在《2007年癌症事实与数据》和《2007年癌症统计》中使用该方法来估计新癌症病例数。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验