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Titolo: On the accommodation of disease rate correlations in aggregate data studies of disease risk factors
Autore: Anderson, AB; Prentice, RL;
- Indirizzi:
- Univ Minnesota, Sch Publ Hlth, Div Biostat, Minneapolis, MN 55455 USA UnivMinnesota Minneapolis MN USA 55455 iostat, Minneapolis, MN 55455 USA Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98104 USA Fred Hutchinson Canc Res Ctr Seattle WA USA 98104 , Seattle, WA 98104 USA
- Titolo Testata:
- BIOMETRICS
fascicolo: 4,
volume: 54,
anno: 1998,
pagine: 1527 - 1540
- SICI:
- 0006-341X(199812)54:4<1527:OTAODR>2.0.ZU;2-Y
- Fonte:
- ISI
- Lingua:
- ENG
- Soggetto:
- DIETARY-FAT; BREAST-CANCER; PARAMETERS; MODELS;
- Keywords:
- aggregate data; ecological studies; estimating equations; lognormal distribution; multiple populations; random effects; relative risk; sample survey; spatial modeling;
- Tipo documento:
- Article
- Natura:
- Periodico
- Settore Disciplinare:
- Agriculture,Biology & Environmental Sciences
- Life Sciences
- Citazioni:
- 23
- Recensione:
- Indirizzi per estratti:
- Indirizzo: Anderson, AB Univolis,esota, Sch Publ Hlth, Div Biostat, A460 Mayo Bldg,Box 303, Minneap Univ Minnesota A460 Mayo Bldg,Box 303 Minneapolis MN USA 55455
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- Citazione:
- A.B. Anderson e R.L. Prentice, "On the accommodation of disease rate correlations in aggregate data studies of disease risk factors", BIOMETRICS, 54(4), 1998, pp. 1527-1540
Abstract
Prentice and Sheppard (1995, Biometrika 82, 113-125) proposed a method forestimating relative risks associated with poorly measured exposures using disease rates from multiple populations and exposure and confounding factordata from sample surveys of persons in each population. The method involved an assumption of independence of disease rates across populations, conditional on exposures and confounding factors. Here, this assumption is relaxed by allowing dependencies among the disease rates within a partition of the populations, perhaps defined on the basis of geographic proximity or cultural similarity. Such dependencies could, for example, derive from unmeasured risk factors that are shared among neighboring populations. Dependencieswithin an element of the partition are modeled by allowing a common correlation between the disease rates of contiguous populations and by inducing correlations between the rates for noncontiguous populations using a multivariate lognormal assumption. Estimating equations are proposed for relative risk parameter estimation, and robustness and efficiency properties are assessed through simulations. The relaxed estimation procedure is shown to yield useful efficiency gains when moderate or strong disease rate dependencies are present, especially when disease rate variances are large relative tobinomial variance.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/05/13 alle ore 17:56:47