Literature DB >> 9039389

Standardisation or modelling of mortality rates.

S de Mateo1, E Regidor.   

Abstract

STUDY
OBJECTIVE: To compare the results obtained when estimating a standardised rate using the conventional technique of stratified analysis and using Poisson regression, and to evaluate the speed of the two techniques in making the calculation.
DESIGN: Cross sectional study. SETTING AND PARTICIPANTS: The trend in motor vehicle accident mortality in males from 1985 to 1992 in Spain was compared using stratified analysis and Poisson regression. In the stratified analysis the calculations were made using a specially designed spreadsheet while in the Poisson regression the statistical program used was EGRET.
RESULTS: The stratified analysis took two hours and the Poisson regression 15 minutes to complete. In the stratified analysis a single estimate for each year was obtained, whereas the model of Poisson regression that best fitted the data included an interaction term between age and year.
CONCLUSION: Poisson regression can be considered a serious alternative to stratified analysis when the objective is to compare mortality rates standardised by one or two variables.

Entities:  

Mesh:

Year:  1996        PMID: 9039389      PMCID: PMC1060387          DOI: 10.1136/jech.50.6.681

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  4 in total

1.  Indirect standardization and multiplicative models for rates, with reference to the age adjustment of cancer incidence and relative frequency data.

Authors:  N E Breslow; N E Day
Journal:  J Chronic Dis       Date:  1975-06

Review 2.  Statistical modelling: the old standardisation problem in disguise?

Authors:  J P Vandenbroucke
Journal:  J Epidemiol Community Health       Date:  1989-09       Impact factor: 3.710

3.  The analysis of rates using Poisson regression models.

Authors:  E L Frome
Journal:  Biometrics       Date:  1983-09       Impact factor: 2.571

4.  Epidemiologic programs for computers and calculators. Use of Poisson regression models in estimating incidence rates and ratios.

Authors:  E L Frome; H Checkoway
Journal:  Am J Epidemiol       Date:  1985-02       Impact factor: 4.897

  4 in total

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