Computing estimates of incidence, including lifetime risk: Alzheimer's disease in the Framingham Study. The Practical Incidence Estimators (PIE) macro

弗雷明翰心脏研究 入射(几何) 医学 统计 计量经济学 计算机科学 估计员 疾病 弗雷明翰风险评分 人口学 数学 内科学 几何学 社会学 程序设计语言
作者
Alexa Beiser,Ralph B. D’Agostino,Sudha Seshadri,Lisa Sullivan,Philip A. Wolf
出处
期刊:Statistics in Medicine [Wiley]
卷期号:19 (11-12): 1495-1522 被引量:174
标识
DOI:10.1002/(sici)1097-0258(20000615/30)19:11/12<1495::aid-sim441>3.0.co;2-e
摘要

The incidence of disease is estimated in medical and public health applications using various different techniques presented in the statistical and epidemiologic literature. Many of these methods have not yet made their way to popular statistical software packages and their application requires custom programming. We present a macro written in the SAS macro language that produces several estimates of disease incidence for use in the analysis of prospective cohort data. The development of the Practical Incidence Estimators (PIE) Macro was motivated by research in Alzheimer's Disease (AD) in the Framingham Study in which the development of AD has been prospectively assessed over an observation period of 24 years. The PIE Macro produces crude and age-specific incidence rates, overall and stratified by the levels of a grouping variable. In addition, it produces age-adjusted rates using direct standardization to the combined group. The user specifies the width of the age groups and the number of levels of the grouping variable. The PIE macro produces estimates of future risk for user-defined time periods and the remaining lifetime risk conditional on survival event-free to user-specified ages. This allows the user to investigate the impact of increasing age on the estimate of remaining lifetime risk of disease. In each case, the macro provides estimates based on traditional unadjusted cumulative incidence, and on cumulative incidence adjusted for the competing risk of death. These estimates and their respective standard errors, are provided in table form and in an output data set for graphing. The macro is designed for use with survival age as the time variable, and with age at entry into the study as the left-truncation variable; however, calendar time can be stubstituted for the survival time variable and the left-truncation variable can simply be set to zero. We illustrate the use of the PIE macro using Alzheimer's Disease incidence data collected in the Framingham Study. Copyright © 2000 John Wiley & Sons, Ltd.
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
刚刚
尤珩完成签到,获得积分10
刚刚
1秒前
桐桐应助方大采纳,获得10
2秒前
3秒前
Estella完成签到,获得积分10
4秒前
量子星尘发布了新的文献求助10
5秒前
7秒前
汉堡包应助坤坤大白采纳,获得10
9秒前
9秒前
知画春秋完成签到 ,获得积分10
10秒前
齐天大圣完成签到,获得积分10
12秒前
LIU发布了新的文献求助10
12秒前
12秒前
华仔应助优美晓灵采纳,获得10
13秒前
P88JNG发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
16秒前
感动的嚓茶完成签到,获得积分10
16秒前
害怕的过客完成签到,获得积分10
18秒前
可爱的函函应助周涨杰采纳,获得100
18秒前
希望天下0贩的0应助77采纳,获得10
19秒前
19秒前
852应助忧郁凌波采纳,获得10
19秒前
李爱国应助21世纪活化石采纳,获得10
20秒前
orixero应助江夏采纳,获得10
20秒前
甘愿发布了新的文献求助10
20秒前
方大发布了新的文献求助10
20秒前
Ykesl完成签到,获得积分10
20秒前
aaaaa完成签到,获得积分10
21秒前
22秒前
霸气的慕青完成签到,获得积分20
22秒前
25秒前
27秒前
章德仁发布了新的文献求助10
27秒前
方大完成签到,获得积分10
27秒前
XT完成签到 ,获得积分10
27秒前
nz完成签到,获得积分10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Treatise on Geochemistry (Third edition) 1600
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
List of 1,091 Public Pension Profiles by Region 981
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5457902
求助须知:如何正确求助?哪些是违规求助? 4564070
关于积分的说明 14293488
捐赠科研通 4488860
什么是DOI,文献DOI怎么找? 2458773
邀请新用户注册赠送积分活动 1448706
关于科研通互助平台的介绍 1424355