| Titre : | Flexible meta-regression functions for modeling aggregate dose-response data, with an application to alcohol and mortality. (2004) |
| Auteurs : | Vincenzo BAGNARDI ; Giovanni CORRAO ; Piero QUATTO ; Antonella ZAMBON ; University of Milan-Bicocca. Department of Statistics. Milan. ITA |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 159, n° 11, 2004) |
| Pagination : | 1077-1086 |
| Langues: | Anglais |
| Mots-clés : | Alcoolisme ; Dose effet ; Homme ; Agrégat ; Alcool ; Boisson alcoolisée ; Epidémiologie ; Mortalité |
| Résumé : | [BDSP. Notice produite par INIST-CNRS VR0xaO9x. Diffusion soumise à autorisation]. In this paper, the authors describe fractional polynomials and cubic splines with which to represent smooth dose-response relations in summarizing meta-analytical aggregate data. Use of these two curve-fitting families can help prevent the problems arising from inappropriate linearity assumptions. These methods are illustrated in the problem of estimating the shape of the dose-response curve between alcohol consumption and all-cause mortality risk. The authors considered aggregate data from 29 cohort studies investigating this issue (1966-2000). J-shaped curves with a nadir at approximately 5-7 g/day of alcohol consumption and a last protective dose of 47-60 g/day were consistently obtained from fractional polynomials and cubic splines. The authors conclude that both of the curve-fitting families are useful tools with which to explore dose-response epidemiologic questions by means of meta-analytical approaches, especially when important nonlinearity is anticipated. |
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