已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Innovative strategies using SUDAAN for analysis of health surveys with complex samples

数据科学 计算机科学 样本量测定 样品(材料) 抽样设计 测量数据收集 软件 调查抽样 比例(比率) 数据挖掘 统计 医学 地理 数学 环境卫生 程序设计语言 化学 地图学 色谱法 人口
作者
Lisa M. LaVange,Sally C Steams,Jennifer Elston Lafata,Gary G. Koch,Babubhai V. Shah
出处
期刊:Statistical Methods in Medical Research [SAGE Publishing]
卷期号:5 (3): 311-329 被引量:90
标识
DOI:10.1177/096228029600500306
摘要

Large-scale health surveys provide a wealth of information for addressing problems in health sciences research. Designed for multiple purposes, these surveys frequently have large sample sizes and extensive measurements of demographic and socioeconomic characteristics, risk factors, disease outcomes and health care service use and costs. Complex features of the sampling design typically employed to select the survey sample, coupled with the vast amount of information available from the survey database, underlie issues that must be addressed during data processing and analysis. Numerous articles in the literature have focused on the debate of whether or not, and how, to control for features of the sample design during data analysis. Traditional statistical methods for simple random samples and the software that accompanies them have historically not had the capacity to account for the survey design. Recent advancements in statistical methodology for survey data analysis have greatly expanded the analytical tools available to the survey analyst. Commercial software packages that incorporate these methods offer the analyst convenient ways for applying such tools to large survey databases in an easy and efficient manner. We present an overview of analysis strategies for survey data and illustrate their application via the SUDAAN software system. Examples for analyses are provided through data from two large US health surveys, the National Health Interview Survey and the Longitudinal Study of Aging. Questions of both a cross-sectional and longitudinal nature are addressed. The examples involve logistic regression, time-to- event analysis, and repeated measures analysis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
雾影觅光完成签到,获得积分10
1秒前
3秒前
CF发布了新的文献求助10
4秒前
4秒前
6秒前
小富婆完成签到 ,获得积分10
8秒前
小二郎应助mxm12138采纳,获得30
9秒前
9秒前
白茶完成签到 ,获得积分10
14秒前
笨笨千亦发布了新的文献求助10
17秒前
淡然的舞仙完成签到 ,获得积分10
18秒前
orixero应助momo采纳,获得10
22秒前
kk完成签到,获得积分10
22秒前
24秒前
24秒前
昏睡的傲菡完成签到 ,获得积分10
25秒前
Bob关闭了Bob文献求助
27秒前
28秒前
喽喽发布了新的文献求助10
28秒前
一直向前发布了新的文献求助10
28秒前
31秒前
淡然如风完成签到,获得积分10
32秒前
32秒前
前行者发布了新的文献求助10
33秒前
33秒前
33秒前
淡然如风发布了新的文献求助10
35秒前
豆包发布了新的文献求助10
37秒前
37秒前
围炉夜话完成签到,获得积分10
38秒前
38秒前
张二发布了新的文献求助10
38秒前
Jasper应助科研通管家采纳,获得10
39秒前
在水一方应助科研通管家采纳,获得10
39秒前
coolkid应助科研通管家采纳,获得10
39秒前
40秒前
乐乐应助科研通管家采纳,获得10
40秒前
40秒前
Owen应助科研通管家采纳,获得10
40秒前
40秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989832
求助须知:如何正确求助?哪些是违规求助? 3531967
关于积分的说明 11255613
捐赠科研通 3270725
什么是DOI,文献DOI怎么找? 1805035
邀请新用户注册赠送积分活动 882181
科研通“疑难数据库(出版商)”最低求助积分说明 809208