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: 8723639
• 负责人: Stuart R. Lipsitz
• 金额: $ 29.98万
• 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 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8723639
• 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）：来自大型国家人群复杂调查的公共用途数据的现成可用性具有巨大的潜力，可以评估（1）癌症人口频率（发病率和患病率）； （2）住院时间和治疗相关费用； （3）癌症筛查率； （4）新发现的风险因素（例如筛查率，饮食）和不同癌症之间的关联。该项目I的目的是使用适用于至少七个美国复杂调查的新型统计方法来证明这一潜力。具体来说，我们将使用行为风险因素监视系统和健康信息国家趋势调查来描述筛查率；全国健康和营养检查调查，以探讨当前和未来癌症患者的行为（饮食，吸烟等）；全国住院样本和医疗支出小组调查，以描述医院的住院时间和治疗癌症的相关费用；国家家庭和临终关怀的调查，以探索针对癌症患者的临终护理；以及国家健康访谈调查，以检查癌症幸存者的随访。复杂的样本调查带来了一些非常独特的问题，我们将开发适当的模型和方法复杂的调查。我们的建议对医学研究人员具有三个广泛的目标。 （1）针对小型亚组分析的新统计方法，其中标准的大型样本复杂调查方法可能是不合适的； 2）对于通常的复杂调查方法而言，数据库太大的数据库的新统计程序； 3）偏斜数据的复杂调查方法。另一个目标是使新开发的统计/流行病学方法可为非统计学家广泛使用。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）一起使用的宏和过程。统计宏和程序将在Internet上进行记录并提供，以及有关如何将这些宏应用于结果出版物分析的示例的文档。

项目成果

Bias-corrected estimates for logistic regression models for complex surveys with application to the United States' Nationwide Inpatient Sample.

适用于美国全国住院患者样本的复杂调查逻辑回归模型的偏差校正估计。

• DOI: 10.1177/0962280215596550
• 发表时间: 2017
• 期刊: Statistical methods in medical research
• 影响因子: 2.3
• 作者: Rader,KevinA;Lipsitz,StuartR;Fitzmaurice,GarrettM;Harrington,DavidP;Parzen,Michael;Sinha,Debajyoti
• 通讯作者: Sinha,Debajyoti

An extension of the Wilcoxon Rank-Sum test for complex sample survey data.

• DOI: 10.1111/j.1467-9876.2011.01028.x
• 发表时间: 2012-08
• 期刊: Journal of the Royal Statistical Society. Series C, Applied statistics
• 作者: Natarajan S;Lipsitz SR;Fitzmaurice GM;Sinha D;Ibrahim JG;Haas J;Gellad W
• 通讯作者: Gellad W