Development and Evaluation of Accelerated Hazards Mixture Cure Model

加速危险混合物固化模型的开发和评估

基本信息

批准号：
7901018
负责人：
Jiajia Zhang
金额：
$ 7.26万
依托单位：
UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-08-01 至 2012-07-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): Abstract : With the advances in cancer research, more and more cancer patients are cured, and they will not relapse or die due to the cancer. It becomes increasingly important to know a patient's chance of being cured given a set of risk factors of the patient, or the survival rate at a certain time if the patient is not cured. The primary aim of this project is to develop a new and 0exible mixture cure model for estimating the proportion of cured patients, and the survival probability of uncured patients. Current methodologies in this area assume that the treatment is e(R)ective at the early stage of trials, while the new model can allow the treatment to have no e(R)ect at the initial time and a gradual e(R)ect later on for uncured patients. This distinctive feature makes the proposed model an important alternative model for practitioners or researchers involved in cancer epidemiology studies in modeling censored survival data with long term survivors. We will develop a semiparametric estimation method, compare it with existing models and methods, evaluate all models by the simulation study, and apply the model to breast cancer data sets. The study will provide practitioners an important tool in analyzing the cancer data with cured fraction and evaluating the risk e(R)ects. The development of the software in the R environment will enable the possible use of the mixture cure model in the epidemiology cancer study easily. PUBLIC HEALTH RELEVANCE: Narrative With the advances in cancer research, more and more cancer patients are cured. This project will investigate a new model for analyzing the cancer survival data with cured patients. The software development in R environment will enable the proposed method used easily in epidemiology cancer study.

描述（由申请人提供）：摘要：随着癌症研究的进展，越来越多的癌症患者得到治愈，并且由于癌症而不会复发或死亡。考虑到患者的一系列危险因素，或者如果患者未治愈，知道患者可以治愈患者的可能性变得越来越重要。该项目的主要目的是开发一种新的和0的合理混合疗法模型，以估计治愈患者的比例以及未经许可患者的生存概率。该领域的当前方法认为，在试验的早期阶段，治疗是E（r）的，而新模型可以使治疗在初始时间不具有E（R）ECT，稍后为未经许可的患者提供逐渐的E（R）ECT。这一独特的特征使提出的模型成为从业者或研究人员与癌症流行病学研究中有关长期幸存者进行审查的生存数据的重要替代模型。我们将开发一种半参数估计方法，将其与现有模型和方法进行比较，通过模拟研究评估所有模型，并将模型应用于乳腺癌数据集。这项研究将为从业者提供一种重要的工具，可以用固化的分数分析癌症数据并评估风险E（R）ECT。在R环境中，该软件的开发将使混合疗法模型在流行病学癌症研究中很容易使用。公共卫生相关性：与癌症研究进展的叙述，越来越多的癌症患者得到治愈。该项目将研究一个新的模型，用于分析与治愈患者的癌症生存数据。 R环境中的软件开发将使在流行病学癌症研究中轻松使用的建议方法。