Abstract
In this article, we illustrate the command distrate, which calculates age-standardized rates with efficient interval estimation by using formulas developed by Tiwari, Clegg, and Zou (2006, Statistical Methods in Medical Research 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 Cancer Institute in Bethesda, Maryland; the Italian Association of Cancer Registries (Associazione Italiana Registro Tumori, AIRTUM); and the Lombardy Mesothelioma 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.
| Original language | English |
|---|---|
| Pages (from-to) | 688-701 |
| Number of pages | 14 |
| Journal | Stata Journal |
| Volume | 12 |
| Issue number | 4 |
| Publication status | Published - 2012 |
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Keywords
- Confidence intervals
- Confounding
- Distrate
- Incidence rates
- Mortality rates
- St0276
- Standardization
ASJC Scopus subject areas
- Mathematics (miscellaneous)
Cite this
A command to calculate age-standardized rates with efficient interval estimation. / Consonni, Dario; Coviello, Enzo; Buzzoni, Carlotta; Mensi, Carolina.
In: Stata Journal, Vol. 12, No. 4, 2012, p. 688-701.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A command to calculate age-standardized rates with efficient interval estimation
AU - Consonni, Dario
AU - Coviello, Enzo
AU - Buzzoni, Carlotta
AU - Mensi, Carolina
PY - 2012
Y1 - 2012
N2 - In this article, we illustrate the command distrate, which calculates age-standardized rates with efficient interval estimation by using formulas developed by Tiwari, Clegg, and Zou (2006, Statistical Methods in Medical Research 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 Cancer Institute in Bethesda, Maryland; the Italian Association of Cancer Registries (Associazione Italiana Registro Tumori, AIRTUM); and the Lombardy Mesothelioma 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.
AB - In this article, we illustrate the command distrate, which calculates age-standardized rates with efficient interval estimation by using formulas developed by Tiwari, Clegg, and Zou (2006, Statistical Methods in Medical Research 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 Cancer Institute in Bethesda, Maryland; the Italian Association of Cancer Registries (Associazione Italiana Registro Tumori, AIRTUM); and the Lombardy Mesothelioma 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.
KW - Confidence intervals
KW - Confounding
KW - Distrate
KW - Incidence rates
KW - Mortality rates
KW - St0276
KW - Standardization
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UR - http://www.scopus.com/inward/citedby.url?scp=84872393980&partnerID=8YFLogxK
M3 - Article
VL - 12
SP - 688
EP - 701
JO - Stata Journal
JF - Stata Journal
SN - 1536-867X
IS - 4
ER -