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A comparison of several procedures to estimate the confidence interval for attributable risk in case-control studies

2000; Wiley; Volume: 19; Issue: 8 Linguagem: Inglês

10.1002/(sici)1097-0258(20000430)19

1097-0258

Javier Llorca, Miguel Delgado‐Rodríguez,

Statistical Methods and Inference

Statistics in MedicineVolume 19, Issue 8 p. 1089-1099 Research Article A comparison of several procedures to estimate the confidence interval for attributable risk in case-control studies Javier Llorca, Corresponding Author Javier Llorca llorcaj@medi.unican.es Division of Preventive Medicine and Public Health, University of Cantabria, School of Medicine, Avda, Cardenal Herrera Oria s/n, 39011 Santander (Cantabria), SpainDivision of Preventive Medicine and Public Health, University of Cantabria, School of Medicine, Avda, Cardenal Herrera Oria s/n, 39011 Santander (Cantabria), SpainSearch for more papers by this authorMiguel Delgado-Rodríguez, Miguel Delgado-Rodríguez Division of Preventive Medicine and Public Health, University of Cantabria, School of Medicine, Avda, Cardenal Herrera Oria s/n, 39011 Santander (Cantabria), SpainSearch for more papers by this author Javier Llorca, Corresponding Author Javier Llorca llorcaj@medi.unican.es Division of Preventive Medicine and Public Health, University of Cantabria, School of Medicine, Avda, Cardenal Herrera Oria s/n, 39011 Santander (Cantabria), SpainDivision of Preventive Medicine and Public Health, University of Cantabria, School of Medicine, Avda, Cardenal Herrera Oria s/n, 39011 Santander (Cantabria), SpainSearch for more papers by this authorMiguel Delgado-Rodríguez, Miguel Delgado-Rodríguez Division of Preventive Medicine and Public Health, University of Cantabria, School of Medicine, Avda, Cardenal Herrera Oria s/n, 39011 Santander (Cantabria), SpainSearch for more papers by this author First published: 20 April 2000 https://doi.org/10.1002/(SICI)1097-0258(20000430)19:8 3.0.CO;2-0Citations: 41AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract The estimation of a confidence interval for attributable risk from the logistic model based on data from case-control studies is a problem for which an accepted solution is lacking. Two methods, one based on the delta method and one bootstrap on the population base, have been described but their accuracy has not been compared. We present two other methods, one based on a jack-knife approach and the other using a bootstrap on two samples (cases and controls). The four methods are compared in a simulation study. The four methods are also applied to a case-control study on risk factors for preterm delivery; the confidence intervals are obtained assuming normality and by logarithmic transformation. When attributable risk is not smooth (for example, when exposure prevalence is low) both the jack-knife and the delta method tend to fail. If attributable risk is close to zero or one, normality cannot be assumed and log-transformed confidence intervals must be used. Finally, the extension to matched studies is analysed using a case-control study on risk factors of cutaneous malignant melanoma. In this situation, the population-based bootstrap is not available. Copyright © 2000 John Wiley & Sons, Ltd. Citing Literature Volume19, Issue830 April 2000Pages 1089-1099 RelatedInformation