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A command to calculate age-standardized rates with efficient interval estimation

Author

Listed:
  • Dario Consonni

    (Fondazione IRCCS Ca' Granda, Milan)

  • Enzo Coviello

    (Statistics and Epidemiology Unit, ASL BT)

  • Carlotta Buzzoni

    (Clinical and Descriptive Epidemiology Unit, ISPO)

  • Carolina Mensi

    (Fondazione IRCCS Ca' Granda, Milan)

Abstract

In this article, we illustrate the command distrate, which calcu- lates age-standardized rates with efficient interval estimation by using formulas developed by Tiwari, Clegg, and Zou (2006, Statistical Methods in Medical Re- search 15: 547–569) as a modification of the method proposed by Fay and Feuer (1997, Statistics in Medicine 16: 791–801). This method is currently used in the Surveillance, Epidemiology, and End Results Program of the National Can- cer Institute in Bethesda, Maryland; the Italian Association of Cancer Registries (Associazione Italiana Registro Tumori, AIRTUM); and the Lombardy Mesothe- lioma and Sinonasal Cancer Registry in Northern Italy. The command produces a compact output and allows for the possibility of specifying a rate multiplier, for instance, ×100,000 or ×1,000,000. Furthermore, rates and confidence limits can be easily exported to an external dataset for further processing (for example, for making graphs). The command distrate is a useful addition to the official Stata command dstdize.

Suggested Citation

  • Dario Consonni & Enzo Coviello & Carlotta Buzzoni & Carolina Mensi, 2012. "A command to calculate age-standardized rates with efficient interval estimation," Stata Journal, StataCorp LP, vol. 12(4), pages 688-701, December.
  • Handle: RePEc:tsj:stataj:v:12:y:2012:i:4:p:688-701
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    Cited by:

    1. Cézar Akiyoshi Saito & Marco Antonio Bussacos & Leonardo Salvi & Carolina Mensi & Dario Consonni & Fernando Timoteo Fernandes & Felipe Campos & Franciana Cavalcante & Eduardo Algranti, 2022. "Sex-Specific Mortality from Asbestos-Related Diseases, Lung and Ovarian Cancer in Municipalities with High Asbestos Consumption, Brazil, 2000–2017," IJERPH, MDPI, vol. 19(6), pages 1-12, March.

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