Analyzing National Complex Sample Surveys for Epidemiologic Studies of Cancer

分析癌症流行病学研究的全国复杂抽样调查

• 批准号: 8456098
• 负责人: Stuart R. Lipsitz
• 金额: $ 29.91万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8456098
• 关键词: Behavior; Behavioral Risk Factor Surveillance System; Boxing; Cancer Patient; Cancer Survivor; Caring; Complex; Computer software; Confidence Intervals; Data; Databases; Diet; Disease; Documentation; Epidemiologic Studies; Epidemiologist; Epidemiology; Equation; Expenditure; Frequencies; Future; Goals; Health Information National Trends Survey; Hospice Care; Incidence; Inequality; Inpatients; Intake; Internet; Lead; Length of Stay; Linear Models; Logistic Regressions; Malignant Neoplasms; Medical; Methodology; Methods; Modeling; National Health Interview Survey; National Health and Nutrition Examination Survey; Nutrient; Population; Prevalence; Probability; Procedures; Publications; Rank-Sum Tests; Research Personnel; Risk; Risk Factors; Sampling; Sampling Biases; Screening for cancer; Smoking; Statistical Methods; Stratification; Subgroup; Survey Methodology; Surveys; Testing; Treatment Cost; United States; base; cancer epidemiology; cost; design; diet and cancer; end of life; follow-up; interest; novel; novel strategies; patient home care; population based; screening; statistics

DESCRIPTION (provided by applicant): The ready availability of public-use data from large National population-based complex surveys have immense potential to lead to the assessment of (1) population frequency of cancer (incidence and prevalence); (2) hospital length of stay and related costs for treatment; (3) cancer screening rates; (4) newly discovered associations between risk factors (e.g. screening rates, diet) and different cancers. The goal of this project i to demonstrate this potential using novel statistical methods applied to at least seven United States complex surveys. Specifically, we will use the Behavioral Risk Factor Surveillance System and the Health Information National Trends Survey to describe screening rates; the National Health and Nutrition Examination Survey to explore behaviors (diet, smoking, etc.) in current and future cancer patients; the Nationwide Inpatient Sample and the Medical Expenditure Panel Survey to describe hospital length of stay and related costs for treating cancer; the National Home and Hospice Care Survey to explore end-of-life care for cancer patients; and the National Health Interview Survey to examine follow-up of cancer survivors. Complex sample surveys present some quite unique problems, and we will develop appropriate models and methods complex surveys. Our proposal has three broad aims of significance to medical researchers. (1) New statistical approaches for small subgroup analyses in which the standard large sample complex survey methods can be inappropriate; 2) New statistical procedures for databases that are too large for the usual complex survey approaches to be feasible; and 3) Complex survey methods for skewed data. An additional goal is to make the newly developed statistical/epidemiological methodology widely accessible to non-statisticians. For the methods described in each aim, we plan to create macros and procedures which can be used with existing, widely-used statistical packages (e.g., SAS). Statistical macros and procedures will be documented and made available on the Internet, together with documentation on how to apply these macros to the examples analyzed in the resulting publications.

描述（由申请人提供）：来自大规模全国人口综合调查的公共使用数据的现成可用性具有巨大的潜力，可用于评估（1）人口癌症频率（发病率和患病率）； （二）住院时间及相关治疗费用； (3)癌症筛查率； （4）新发现的危险因素（例如筛查率、饮食）与不同癌症之间的关联。该项目的目标是使用应用于至少七项美国复杂调查的新颖统计方法来证明这种潜力。具体来说，我们将使用行为危险因素监测系统和健康信息国家趋势调查来描述筛查率；国家健康和营养检查调查，探索当前和未来癌症患者的行为（饮食、吸烟等）；全国住院病人样本和医疗支出小组调查，描述住院时间和治疗癌症的相关费用；全国家庭和临终关怀调查，探索癌症患者的临终关怀；以及全国健康访谈调查，以检查癌症幸存者的后续情况。复杂抽样调查存在一些相当独特的问题，我们将开发适当的复杂调查模型和方法。我们的提案具有对医学研究人员意义重大的三大目标。 (1) 小亚组分析的新统计方法，其中标准大样本复杂调查方法可能不适用； 2) 针对数据库的新统计程序对于通常的复杂调查方法来说太大而不可行； 3) 针对倾斜数据的复杂调查方法。另一个目标是让非统计学家广泛使用新开发的统计/流行病学方法。对于每个目标中描述的方法，我们计划创建可与现有的、广泛使用的统计软件包（例如 SAS）一起使用的宏和程序。统计宏和程序将被记录下来并在互联网上提供，以及有关如何将这些宏应用于最终出版物中分析的示例的文档。