Literature DB >> 7481208

Development of health risk appraisal functions in the presence of multiple indicators: the Framingham Study nursing home institutionalization model.

R B D'Agostino1, A J Belanger, E W Markson, M Kelly-Hayes, P A Wolf.   

Abstract

A health risk appraisal function is a mathematical model designed to estimate the risk or probability of a person's mortality or morbidity for various diseases based upon risk factors such as age, medical history and smoking behaviour. The Framingham Study has contributed substantially to the development and use of these for endpoints such as mortality and incidence of coronary heart disease and other cardiovascular diseases. This paper discusses a methodology for the development of health risk appraisal functions when the number of potential risk factors is large and illustrates it with sex specific functions for nursing home institutionalization. The methodology involves grouping variables substantively into sets, applying principal component factor analysis and variable clustering to obtain substantively meaningful composite scores, ranking these in order of substantive importance, and then entering these with a hierarchical ordering into a Cox proportional hazard regression.

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Year:  1995        PMID: 7481208     DOI: 10.1002/sim.4780141605

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


  2 in total

1.  Drug-metabolizing enzyme genotypes and aggressive behavior treatment response in hospitalized pediatric psychiatric patients.

Authors:  Cynthia A Prows; Todd G Nick; Shannon N Saldaña; Sanjeev Pathak; Chunyan Liu; Kejian Zhang; Zachary S Daniels; Alexander A Vinks; Tracy A Glauser
Journal:  J Child Adolesc Psychopharmacol       Date:  2009-08       Impact factor: 2.576

2.  Development and validation of a Clostridium difficile infection risk prediction model.

Authors:  Erik R Dubberke; Yan Yan; Kimberly A Reske; Anne M Butler; Joshua Doherty; Victor Pham; Victoria J Fraser
Journal:  Infect Control Hosp Epidemiol       Date:  2011-04       Impact factor: 3.254

  2 in total

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