Empirical Likelihood Bayes Analysis of Quantile Regression Model

分位数回归模型的经验似然贝叶斯分析

• 批准号: 7739837
• 负责人: Mi-Ok Kim
• 金额: $ 8.31万
• 依托单位: CINCINNATI CHILDRENS HOSP MED CTR
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7739837
• 关键词: Accounting; Acute Lymphocytic Leukemia; Address; Adult; Affect; Age; Autologous Bone Marrow Transplantation; Bayesian Method; Body mass index; Cancer Patient; Cancer Survivor; Cancer and Leukemia Group B; Cephalic; Childhood Acute Lymphocytic Leukemia; Childhood Cancer Survivor Study; Cohort Studies; Computational algorithm; Computer software; Data; Data Analyses; Diagnosis; Disease; Disease-Free Survival; Dose; Environmental Risk Factor; Future; Gender; Generic Drugs; Genetic; Hand; Health; High Dose Chemotherapy; High-Risk Cancer; Intervention; Knowledge; Lead; Malignant Childhood Neoplasm; Methodology; Methods; Modeling; Morbidity - disease rate; Obesity; Overweight; Patients; Predisposition; Radiation therapy; Randomized Clinical Trials; Regression Analysis; Relative (related person); Research; Research Design; Risk; Risk Factors; Role; Siblings; Survivors; Testing; Time; Treatment Protocols; Woman; base; cancer epidemiology; cancer therapy; chemotherapy; childhood cancer survivor; design; epidemiology study; falls; hazard; high risk; improved; innovation; malignant breast neoplasm; mortality; obesity risk; outcome forecast; patient population; prospective; public health relevance; software development; tool; treatment effect; trial comparing

DESCRIPTION (provided by applicant): The purpose of this study is reanalyzing the Childhood Cancer Survivors Study (CCSS) and the Cancer and Leukemia Group B (CALGB) study 9082 data using an innovative Bayesian method for quantile regression (QR) and censored QR model. The CCSS and the CALGB study 9082 are concerned with two important questions of cancer epidemiology, respectively, identifying and assessing risk factors for modifiable disease and weighing more aggressive cancer treatment against less aggressive one. The primary analyses of the studies were constrained by the study design or the choice of statistical analysis method and fell short of adequately answering their respective research questions. Reanalyzing these studies is well warranted by appropriately addressing such constraints. We will use an innovative Bayesian (censored) QR method. It replaces the likelihood with empirical likelihood within the Bayesian analytic framework and conducts (censored) QR analysis. It will be a method, the first and only regarding the censored QR and one among a few regarding the uncensored QR, that accommodate all the features that are essential to adequately reanalyze the CCSS and the CALGB study 9082 data. It will also provide an alternative analytic tool for many other cancer epidemiology studies where standard regression or survival data analysis methods fail or are deemed insufficient. This study will improve our understanding of, respectively, obesity related future health risks in the childhood acute lymphoblastic leukemia (ALL) survivors and the role of cranial radiotherapy, and of the relative benefit of the high dose chemotherapy (with autologous bone marrow transplantation) in women with high risk breast cancer. This knowledge will consequently lead to better designed treatment protocols and intervention strategies that will increase survival and minimize harmful health effects in pediatric cancer and high risk breast cancer patient populations. PUBLIC HEALTH RELEVANCE: The purpose of this study is reanalyzing the Childhood Cancer Survivors Study (CCSS) and the Cancer and Leukemia Group B (CALGB) study 9082 by using an innovative Bayesian method for quantile regression and censored quantile regression model. The proposed analyses will improve our understanding of, respectively, obesity related future health risks in the childhood acute lymphoblastic leukemia (ALL) survivors and the role of cranial radiotherapy, and of the relative benefit of high dose chemotherapy with autologous bone marrow transplantation in women with high risk breast cancer.

描述（由申请人提供）： 本研究的目的是使用创新的分位数回归 (QR) 贝叶斯方法和审查 QR 模型重新分析儿童癌症幸存者研究 (CCSS) 和癌症和白血病 B 组 (CALGB) 研究 9082 数据。 CCSS 和 CALGB 研究 9082 分别关注癌症流行病学的两个重要问题，即识别和评估可改变疾病的危险因素，以及权衡更积极的癌症治疗与不太积极的癌症治疗。研究的主要分析受到研究设计或统计分析方法选择的限制，未能充分回答各自的研究问题。通过适当解决这些限制，重新分析这些研究是很有必要的。我们将使用创新的贝叶斯（审查）QR 方法。它用贝叶斯分析框架内的经验似然代替似然，并进行（审查的）QR 分析。这将是第一个也是唯一一个涉及审查 QR 的方法，也是涉及非审查 QR 的少数方法之一，它包含充分重新分析 CCSS 和 CALGB 研究 9082 数据所必需的所有功能。它还将为许多其他癌症流行病学研究提供替代分析工具，这些研究中标准回归或生存数据分析方法失败或被认为不足。这项研究将提高我们对儿童急性淋巴细胞白血病（ALL）幸存者肥胖相关的未来健康风险、颅脑放疗的作用以及高剂量化疗（自体骨髓移植）对高危乳腺癌女性的相对益处的了解。因此，这些知识将有助于设计出更好的治疗方案和干预策略，从而提高儿童癌症和高风险乳腺癌患者群体的生存率并最大程度地减少对健康的有害影响。 公共卫生相关性： 本研究的目的是通过使用创新的贝叶斯分位数回归方法和审查分位数回归模型重新分析儿童癌症幸存者研究 (CCSS) 和癌症和白血病 B 组 (CALGB) 研究 9082。所提出的分析将分别提高我们对儿童急性淋巴细胞白血病（ALL）幸存者肥胖相关的未来健康风险、颅脑放疗的作用以及高剂量化疗联合自体骨髓移植对高危乳腺癌女性的相对益处的理解。