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CONFIDENCE INTERVALS FOR DIRECTLY STANDARDIZED RATES: A METHOD BASED ON THE GAMMA DISTRIBUTION

1997; Wiley; Volume: 16; Issue: 7 Linguagem: Inglês

10.1002/(sici)1097-0258(19970415)16

1097-0258

Michael P. Fay, Eric J. Feuer,

Advanced Statistical Methods and Models

Statistics in MedicineVolume 16, Issue 7 p. 791-801 Research Article CONFIDENCE INTERVALS FOR DIRECTLY STANDARDIZED RATES: A METHOD BASED ON THE GAMMA DISTRIBUTION MICHAEL P. FAY, MICHAEL P. FAY National Cancer Institute, Division of Cancer Prevention and Control, Executive Plaza North, Suite 344, 6130 Executive Blvd MSC 7354, Bethesda, Maryland 20892-7354, U.S.A.Search for more papers by this authorERIC J. FEUER, ERIC J. FEUER National Cancer Institute, Division of Cancer Prevention and Control, Executive Plaza North, Suite 344, 6130 Executive Blvd MSC 7354, Bethesda, Maryland 20892-7354, U.S.A.Search for more papers by this author MICHAEL P. FAY, MICHAEL P. FAY National Cancer Institute, Division of Cancer Prevention and Control, Executive Plaza North, Suite 344, 6130 Executive Blvd MSC 7354, Bethesda, Maryland 20892-7354, U.S.A.Search for more papers by this authorERIC J. FEUER, ERIC J. FEUER National Cancer Institute, Division of Cancer Prevention and Control, Executive Plaza North, Suite 344, 6130 Executive Blvd MSC 7354, Bethesda, Maryland 20892-7354, U.S.A.Search for more papers by this author First published: 04 December 1998 https://doi.org/10.1002/(SICI)1097-0258(19970415)16:7 3.0.CO;2-%23Citations: 375AboutPDF 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 onEmailFacebookTwitterLinkedInRedditWechat Abstract We offer an approximation to central confidence intervals for directly standardized rates, where we assume that the rates are distributed as a weighted sum of independent Poisson random variables. Like a recent method proposed by Dobson, Kuulasmaa, Eberle and Scherer, our method gives exact intervals whenever the standard population is proportional to the study population. In cases where the two populations differ non-proportionally, we show through simulation that our method is conservative while other methods (the Dobson et al. method and the approximate bootstrap confidence method) can be liberal. © 1997 by John Wiley & Sons, Ltd. Citing Literature Volume16, Issue715 April 1997Pages 791-801 RelatedInformation