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: 7878737
• 负责人: Mi-Ok Kim
• 金额: $ 7.9万
• 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 2011-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7878737
• 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）：