Life expectancy as a summary of mortality in a population: statistical considerations and suitability for use by health authorities.
OBJECTIVE: To investigate the sampling distribution and usefulness of expectation of life in comparisons of mortality at health district level or below. DESIGN: Derivation of a formula for the variance of the expectation of life, confirmation of the result and generation of the sampling distribution...
| Publicado en: | Journal of Epidemiology & Community Health Vol. 55; no. 1; pp. 38 - 44 |
|---|---|
| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
BMJ Publishing Group
Jan2001
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107048942&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107048942 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0143005X C0H jtl: Journal of Epidemiology & Community Health issn: 0143005X maglogo: N pubinfo: dt: Jan2001 vid: 55 iid: 1 pid: 8280 pub: BMJ Publishing Group artinfo: ui: 107048942 107048942 2001078026 10.1136/jech.55.1.38 NLM11112949 107048942 ppf: 38 ppct: 6 formats: tig: atl: Life expectancy as a summary of mortality in a population: statistical considerations and suitability for use by health authorities. aug: au: Silcocks PBS Jenner DA Reza R affil: Trent Institute for Health Services Research, University of Nottingham, Queen's Medical Centre, Nottingham NG7 2UH. E-mail: p.b.silcocks@nottingham.ac.uk sug: subj: Life Expectancy In Old Age Mortality In Old Age Data Analysis Software United Kingdom Aged, 80 and Over Analysis of Variance Comparative Studies Algorithms Age Factors Male Female Health and Welfare Planning Population Epidemiological Research Human Aged, 80 & over Male Female ab: OBJECTIVE: To investigate the sampling distribution and usefulness of expectation of life in comparisons of mortality at health district level or below. DESIGN: Derivation of a formula for the variance of the expectation of life, confirmation of the result and generation of the sampling distribution by Monte Carlo simulation; comparison of expectation of life with standardised mortality ratio (SMR) and other summary indices of mortality. SETTING: A health district in Trent Region, England. SUBJECTS: Routinely available mortality statistics at electoral ward level and above. MAIN RESULTS: Given reasonable and simple assumptions the sampling distribution of the expectation of life is approximately normal. Expectation of life shows a high negative correlation with SMR even if the oldest age band for the SMR is open ended. CONCLUSIONS: Where sampling error is an issue, inference concerning differences in mortality rates between populations can be based on expectation of life, which is better for illustrative purposes than SMR. The formula for the variance of the expectation of life is more complex however. If the final age band is open ended, its lower bound should be as high as possible to avoid misleading results caused by hidden differences in age structure. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|