A simple method for estimating age-specific rates from sequential cross sections
Zapisane w:
| Wydane w: | Demography (pre-2011) vol. 39, no. 2 (May 2002), p. 287-310 |
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| 1. autor: | |
| Wydane: |
Springer Nature B.V.
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| Hasła przedmiotowe: | |
| Dostęp online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Etykiety: |
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| 100 | 1 | |a Schmertmann, Carl P | |
| 245 | 1 | |a A simple method for estimating age-specific rates from sequential cross sections | |
| 260 | |b Springer Nature B.V. |c May 2002 | ||
| 513 | |a PERIODICAL | ||
| 520 | 3 | |a A simple formula for estimating age-specific event rates for a period from "before" and "after" cross sections is developed and demonstrated. The general approach applies to a wide range of estimation problems in demography, the social sciences, and epidemiology. The method arises from the formal mathematics of unstable populations and is similar in spirit to "variable-r" methods. Unlike those methods, however, the new technique does not require specialized computer programming or iterative calculations, and event rates can be calculated directly from cross-sectional data in simple spreadsheets. The article includes a formal mathematical exposition of the method, simulation tests, and several examples. I develop and demonstrate a simple formula for estimating age-specific event rates for a period from "before" and "after" cross sections. The general approach applies to a wide range of estimation problems in demography, the social sciences, and epidemiology. The method arises from the formal mathematics of unstable populations and is similar in spirit to "variable-r" methods. Unlike those methods, however, the new technique does not require specialized computer programming or iterative calculations, and event rates can be calculated directly from cross-sectional data in simple spreadsheets. The article includes a formal mathematical exposition of the method, simulation tests, and several examples. | |
| 650 | 2 | 2 | |a Adolescent |
| 650 | 2 | 2 | |a Adult |
| 650 | 1 | 2 | |a Age Distribution |
| 650 | 1 | 2 | |a Birth Rate |
| 650 | 2 | 2 | |a Cross-Sectional Studies |
| 650 | 2 | 2 | |a Data Interpretation, Statistical |
| 650 | 1 | 2 | |a Demography |
| 650 | 2 | 2 | |a Epidemiology |
| 650 | 2 | 2 | |a Female |
| 650 | 1 | 2 | |a Fertility |
| 650 | 2 | 2 | |a Humans |
| 650 | 2 | 2 | |a Linear Models |
| 650 | 2 | 2 | |a Parity |
| 650 | 2 | 2 | |a Social Sciences |
| 653 | |a Studies | ||
| 653 | |a Mathematical models | ||
| 653 | |a Estimating techniques | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Demographics | ||
| 653 | |a Population | ||
| 653 | |a Smoking | ||
| 653 | |a Computer programming | ||
| 653 | |a Family planning | ||
| 653 | |a Age | ||
| 653 | |a Mathematics | ||
| 653 | |a Methods | ||
| 653 | |a Censuses | ||
| 653 | |a Grammatical aspect | ||
| 653 | |a Spreadsheets | ||
| 653 | |a Simulation | ||
| 653 | |a Social research | ||
| 653 | |a Age differences | ||
| 653 | |a Estimation | ||
| 653 | |a Social | ||
| 773 | 0 | |t Demography (pre-2011) |g vol. 39, no. 2 (May 2002), p. 287-310 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/222946745/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/222946745/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/222946745/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |