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STATISTICAL METHODS FOR CASE CONTROL SURVIVAL DATA

病例对照生存数据的统计方法

基本信息

批准号：
6497997
负责人：
Emilia Bagiella
金额：
$ 8.53万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2001
资助国家：
美国
起止时间：
2001-02-15 至 2004-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6497997
关键词：
adenomatous polyps cancer risk computer data analysis disease /disorder onset human data method development neoplasm /cancer epidemiology statistics /biometry

项目摘要

APPLICANT'S DESCRIPTION The aim of this two year project is to develop and test new statistical methods for the analysis of prevalence case-control survival data. Prevalence case-control survival studies may be a powerful approach to study time to onset of disease, and to evaluate the association between risk factors and probability of developing the disease. In many cases, prevalence case-control survival studies are more efficient than incidence case-control or prospective cohort studies. Unfortunately, no statistical methods are currently available for an efficient analysis of data from prevalence case-control survival studies. The specific aims of this project are: 1) To extend methods for the analysis of data from prevalence case-control studies developed in the setting of the one-sample problem (no covariates included in the analysis) to the setting of the two-sample problem, i.e., to develop methods for estimating and comparing survival distributions for two different risk groups; 2) To use the methods developed in Aim (1) to analyze survival data from a prevalence case-control sample of patients with adenomatous polyps (adenomas); 3) To develop regression methods for the analysis of prevalence case-control survival data; 4) To develop user-friendly software for the analysis of survival data from prevalence case-control studies. Development of the new methods is based on an extension of the usual approach to the analysis of case-control data of embedding the case-control likelihood into a prospective likelihood, and on methods of analysis of right truncated survival data. The methodological as well as epidemiological relevance of this proposal is that it provides appropriate and efficient methods of analysis of data from prevalence case-control survival data.

这个为期两年的项目的目的是开发和测试新的统计方法，用于分析流行病例-对照生存数据。流行病例对照生存研究可能是研究发病时间和评估危险因素与发病概率之间关系的有力方法。在许多情况下，流行病例对照生存研究比发病率病例对照或前瞻性队列研究更有效。不幸的是，目前没有统计方法可用于有效分析流行病例-对照生存研究的数据。该项目的具体目标是：1)将在单样本问题（分析中不包括协变量）的情况下开发的患病率病例对照研究数据的分析方法扩展到双样本问题的设置，即开发估算和比较两个不同风险群体的生存分布的方法；2)使用Aim(1)中开发的方法分析腺瘤性息肉（adenomatous polyps，腺瘤）患者患病率病例对照样本的生存数据；3)发展流行病例-对照生存数据的回归分析方法；4)开发用户友好的软件，用于分析流行病例对照研究的生存数据。新方法的发展是基于对病例-对照数据分析的通常方法的扩展，即将病例-对照似然嵌入到预期似然中，以及对右截断生存数据的分析方法。该建议的方法学和流行病学相关性在于，它提供了适当和有效的方法来分析来自流行病例-对照生存数据的数据。