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Simple exact analysis of the standardised mortality ratio

Bibliographic Data

ID11173183
AuthorsF D K Liddell (McGill University Health Centre, corresponding author), F D Liddell
Year1984
Volume38
Issue1
Pages85-88
Publication date1984-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Epidemiology and Community Health (JOURNAL)
Journal identifiersISSN: 0143-005X • E-ISSN: 1470-2738
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/jech.38.1.85
PMID6707569
OpenAlexW2142919660
LanguageEN
Citations received18
References cited6

The standardised mortality ratio is the ratio of deaths observed, D, to those expected, E, on the basis of the mortality rates of some reference population. On the usual assumptions--that D was generated by a Poisson process and that E is based on such large numbers that it can be taken as without error--the long established, but apparently little known, link between the Poisson and chi 2 distributions provides both an exact test of significance and expressions for obtaining exact (1-alpha) confidence limits on the SMR. When a table of the chi 2 distribution gives values for 1-1/2 alpha and 1/2 alpha with the required degrees of freedom, the procedures are not only precise but very simple. When the required values of chi 2 are not tabulated, only slightly less simple procedures are shown to be highly reliable for D greater than 5; they are more reliable for all D and alpha than even the best of three approximate methods. For small D, all approximations can be seriously unreliable. The exact procedures are therefore recommended for use wherever the basic assumptions (Poisson D and fixed E) apply

Alpha (finance) · Basis (linear algebra) · Confidence interval · Degrees of freedom (physics and chemistry) · Exact statistics · Exact test · Nominal level · Poisson distribution · Poisson regression · Population · Sample size determination · Simple (philosophy) · Statistics · Table (database) · Applied Mathematics · Computer Science · Health and Conflict Studies · Insurance, Mortality, Demography, Risk Management · Mathematics · Medicine

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Unique citing works18
Citations per year0,44
Citation span1985 - 2023 (39)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 15

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