Literature DB >> 11080560

Life-expectancy projection by modelling and computer simulation (UKPDS 46).

R Stevens1, A Adler, A Gray, A Briggs, R Holman.   

Abstract

A method is described for estimating the life-expectancy of cohorts of type 2 diabetic patients, based on computer simulation from a parametric model. The method can be used where non-parametric methods, such as the Kaplan-Meier estimate, fail due to lack of the data. The simulation algorithm combines observed and modelled information to estimate the life-expectancy implications of event rates observed within a study. The use of bootstrap methods to estimate confidence intervals is discussed. The methods are illustrated with results that have been previously published, without derivation, in a health economic analysis of tight blood pressure (BP) control in the UK Prospective Diabetes Study (UKPDS), and the application to other health economic analyses of UKPDS data is discussed.

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Year:  2000        PMID: 11080560     DOI: 10.1016/s0168-8227(00)00214-x

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  5 in total

1.  Telemedicine-based KADIS combined with CGMS has high potential for improving outpatient diabetes care.

Authors:  Eckhard Salzsieder; Petra Augstein; Lutz Vogt; Klaus-Dieter Kohnert; Peter Heinke; Ernst-Joachim Freyse; Abdel Azim Ahmed; Zakia Metwali; Iman Salman; Omer Attef
Journal:  J Diabetes Sci Technol       Date:  2007-07

2.  Additive effects of glycaemia and blood pressure exposure on risk of complications in type 2 diabetes: a prospective observational study (UKPDS 75).

Authors:  I M Stratton; C A Cull; A I Adler; D R Matthews; H A W Neil; R R Holman
Journal:  Diabetologia       Date:  2006-05-31       Impact factor: 10.122

3.  A model to estimate the lifetime health outcomes of patients with type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS no. 68).

Authors:  P M Clarke; A M Gray; A Briggs; A J Farmer; P Fenn; R J Stevens; D R Matthews; I M Stratton; R R Holman
Journal:  Diabetologia       Date:  2004-10-27       Impact factor: 10.122

4.  Indirect estimation of a discrete-state discrete-time model using secondary data analysis of regression data.

Authors:  Deanna J M Isaman; Jacob Barhak; Wen Ye
Journal:  Stat Med       Date:  2009-07-20       Impact factor: 2.373

5.  Impact of a natural disaster on diabetes: exacerbation of disparities and long-term consequences.

Authors:  Vivian A Fonseca; Hayden Smith; Nitesh Kuhadiya; Sharice M Leger; C Lillian Yau; Kristi Reynolds; Lizheng Shi; Roberta H McDuffie; Tina Thethi; Jennifer John-Kalarickal
Journal:  Diabetes Care       Date:  2009-06-19       Impact factor: 19.112

  5 in total

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