End-stage renal disease projections for Canada to 2005 using Poisson and Markov models
Author(s) -
Douglas E. Schaubel,
Howard Morrison,
Marie DesMeules,
Daria Parsons,
Stanley Sa Fenton
Publication year - 1998
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/27.2.274
Subject(s) - medicine , end stage renal disease , intensive care medicine , poisson regression , dialysis , disease , incidence (geometry) , stage (stratigraphy) , transplantation , poisson distribution , kidney disease , renal replacement therapy , environmental health , statistics , mathematics , population , geometry , paleontology , biology
End-stage renal disease (ESRD) incidence and prevalence are increasing in many countries worldwide. Due to the high cost of therapy, predicting future numbers of patients requiring dialysis and transplantation is necessary for health care planners. Projecting therapy-specific chronic disease prevalence is inherently problematic, and examples of suitable models and their application are sparse. When applied, rarely was the adequacy of such models evaluated.
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