Estimating transition coefficients for reconstructing coherent series of mortality by cause of Death. (June 2019)

• Record Type: Journal Article
• Authors: Camarda, Carlo G
• Other Names: Gampe Jutta guest-editor.; Camarda Carlo Giovanni guest-editor.
• Is Part Of: Statistical modelling. Volume 19:Number 3(2019)
• Page Start: 299
• Page End: 322
• Publication Date: 2019-06
• Subjects: classification of causes of death -- Inequality constraints -- mortality series -- quadratic programming -- smoothing; Linear models (Statistics) -- Periodicals; Mathematical models -- Periodicals; Modèles linéaires (Statistique) -- Périodiques; Modèles mathématiques -- Périodiques; Modèle statistique; Modèle linéaire; Modélisation statistique; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 519.5011
• DOI: 10.1177/1471082X19832398
• Languages: English
• ISSNs: 1471-082X

Abstract

Abstract: Regular revisions of the classification of diseases and the consequent disruptions of mortality series are well-known issues in long-term cause-of-death analysis. Given basic assumptions and medical knowledge about possible exchanges across causes of death in the revision years, redistribution of counts of causes of death into a new classification can be viewed as a constrained optimization problem. Penalized likelihood within a quadratic programming framework allows estimation of exchanges that vary smoothly over age groups. The approach is illustrated using both German data on malignant neoplasms and French data on heart diseases.