Hostname: page-component-7479d7b7d-c9gpj Total loading time: 0 Render date: 2024-07-11T10:20:49.088Z Has data issue: false hasContentIssue false
  • English
  • Français

Decrement tables and the measurement of morbidity: II

Published online by Cambridge University Press:  20 April 2012

S. Haberman
Get access Rights & Permissions [Opens in a new window]

Extract

1.1. An earlier paper by the author has attempted to describe the theories of multi-state life tables and inhomogeneous Markov chains in their application to the study of morbidity as introduced by Pollard. It is the purpose of this paper to extend the model to describe the relationship between the incidence and prevalence of a disease. The implications of certain assumptions about the presence of mortality and of differentials in the level of mortality are also discussed.

Type
Research Article
Information
Journal of the Institute of Actuaries , Volume 111 , Issue 1 , June 1984 , pp. 73 - 86
Copyright
Copyright © Institute and Faculty of Actuaries 1984

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

(1) Haberman, S. (1983) Decrement tables and the measurement of morbidity: I, J.I.A. 110, 361.Google Scholar
(2) Pollard, A. H. (1980) The interaction between morbidity and mortality (with discussion). J.I.A. 107, 233.Google Scholar
(3) Lilienfeld, A. M. (1976) Foundations of Epidemiology. Chapter 9, O.U.P. London.Google Scholar
(4) Neili, A. (1977) Life Contingencies. Chapter 11. Heinemann, London.Google Scholar
(5) Hoem, J. M. (1969) Purged and partial Markov chains. Skand. Akt. 52, 147.Google Scholar
(6) Haberman, S. (1978) Mathematical treatment of the incidence and prevalence of disease. Social Sci. and Med. 12, 147.Google ScholarPubMed
(7) Hajnal, J. (1953) Age at marriage and proportions marrying. Population Studies, 7, 111.CrossRefGoogle Scholar
(8) Ryder, N. B. (1964) The process of demographic translation. Demography, 1, 74.CrossRefGoogle Scholar
(9) Case, R. A. M., Coghill, C., Harley, J. L. & Pearson, J. T. (1963) Chester Beatty Research Institute Serial Abridged Life Tables Part 1 England and Wales 1841–1960. Institute of Cancer Research, London.Google Scholar
(10) Case, R. A. M. & Coghill, C. (1970) Chester Beatty Research Institute Serial Abridged Life Tables. First Supplement. Institute of Cancer Research, London.Google Scholar
(11) Case, R. A. M., Coghill, C., Harley, J. L. & Pearson, J. T. (1973) Chester Beatty Research Institute Serial Abridged Life Tables. Second Supplement. Institute of Cancer Research, London.Google Scholar
(12) Opcs and Royal College of General Practitioners (1974) Morbidity Statistics from General Practice. H.M.S.O., London.Google Scholar
(13) Hoem, J. M. (1978) Demographic incidence rates. Theor. Pop. Biol. 14, 329.CrossRefGoogle ScholarPubMed
(14) Cox, P. R. (1976) Demography. 5th edition. Chapters 5 and 6. C.U.P. Cambridge.CrossRefGoogle Scholar
(15) Finnäs, F. (1980) A method to estimate demographic intensities via cumulative incidence rates. Theor. Pop. Biol. 17, 365.CrossRefGoogle ScholarPubMed
(16) Ramlau-Hansen, H. (1980) The Estimation of Demographic Intensities Via Cumulative Incidence Rates. Laboratory of Actuarial Mathematics, University of Copenhagen, Working Paper No. 33.Google Scholar