Literature DB >> 10844714

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

A Beiser1, R B D'Agostino, S Seshadri, L M Sullivan, P A Wolf.   

Abstract

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 substituted 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.

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Year:  2000        PMID: 10844714     DOI: 10.1002/(sici)1097-0258(20000615/30)19:11/12<1495::aid-sim441>3.0.co;2-e

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  90 in total

1.  Association between family history and coronary heart disease death across long-term follow-up in men: the Cooper Center Longitudinal Study.

Authors:  Justin M Bachmann; Benjamin L Willis; Colby R Ayers; Amit Khera; Jarett D Berry
Journal:  Circulation       Date:  2012-05-23       Impact factor: 29.690

2.  One in four people may develop symptomatic hip osteoarthritis in his or her lifetime.

Authors:  L B Murphy; C G Helmick; T A Schwartz; J B Renner; G Tudor; G G Koch; A D Dragomir; W D Kalsbeek; G Luta; J M Jordan
Journal:  Osteoarthritis Cartilage       Date:  2010-08-14       Impact factor: 6.576

3.  Inequalities in dementia incidence between six racial and ethnic groups over 14 years.

Authors:  Elizabeth Rose Mayeda; M Maria Glymour; Charles P Quesenberry; Rachel A Whitmer
Journal:  Alzheimers Dement       Date:  2016-02-11       Impact factor: 21.566

4.  Lifetime risks of cardiovascular disease.

Authors:  Jarett D Berry; Alan Dyer; Xuan Cai; Daniel B Garside; Hongyan Ning; Avis Thomas; Philip Greenland; Linda Van Horn; Russell P Tracy; Donald M Lloyd-Jones
Journal:  N Engl J Med       Date:  2012-01-26       Impact factor: 91.245

5.  Leukocyte telomere length in relation to risk of lung adenocarcinoma incidence: Findings from the Singapore Chinese Health Study.

Authors:  Jian-Min Yuan; Kenneth B Beckman; Renwei Wang; Caroline Bull; Jennifer Adams-Haduch; Joyce Y Huang; Aizhen Jin; Patricia Opresko; Anne B Newman; Yun-Ling Zheng; Michael Fenech; Woon-Puay Koh
Journal:  Int J Cancer       Date:  2018-01-25       Impact factor: 7.396

6.  Gender differences in stroke incidence and poststroke disability in the Framingham heart study.

Authors:  Rodica E Petrea; Alexa S Beiser; Sudha Seshadri; Margaret Kelly-Hayes; Carlos S Kase; Philip A Wolf
Journal:  Stroke       Date:  2009-02-10       Impact factor: 7.914

7.  Early Midlife Pulmonary Function and Dementia Risk.

Authors:  Paola Gilsanz; Elizabeth Rose Mayeda; Jason Flatt; M Maria Glymour; Charles P Quesenberry; Rachel A Whitmer
Journal:  Alzheimer Dis Assoc Disord       Date:  2018 Oct-Dec       Impact factor: 2.703

8.  Genome-Wide Polygenic Score, Clinical Risk Factors, and Long-Term Trajectories of Coronary Artery Disease.

Authors:  George Hindy; Krishna G Aragam; Kenney Ng; Mark Chaffin; Luca A Lotta; Aris Baras; Isabel Drake; Marju Orho-Melander; Olle Melander; Sekar Kathiresan; Amit V Khera
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-09-22       Impact factor: 8.311

9.  Lifetime risk of ESRD.

Authors:  Tanvir Chowdhury Turin; Marcello Tonelli; Braden J Manns; Sofia B Ahmed; Pietro Ravani; Matthew James; Brenda R Hemmelgarn
Journal:  J Am Soc Nephrol       Date:  2012-08-16       Impact factor: 10.121

10.  Lifetime Risk of Stage 3-5 CKD in a Community-Based Sample in Iceland.

Authors:  Lesley A Inker; Hocine Tighiouart; Thor Aspelund; Vilmundur Gudnason; Tamara Harris; Olafur S Indridason; Runolfur Palsson; Shani Shastri; Andrew S Levey; Mark J Sarnak
Journal:  Clin J Am Soc Nephrol       Date:  2015-08-18       Impact factor: 8.237

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