1097-0258/asset/SIM_left.gif?v=1&s=1b631772c3897aa95941da3609d901cd1d389e83)
1097-0258/asset/olbannerright.gif?v=1&s=6d257623b3308a7485294c87b3b5e1e665484099)
Research Article
CONFIDENCE INTERVALS FOR DIRECTLY STANDARDIZED RATES: A METHOD BASED ON THE GAMMA DISTRIBUTION
Article first published online: 4 DEC 1998
DOI: 10.1002/(SICI)1097-0258(19970415)16:7<791::AID-SIM500>3.0.CO;2-#
Copyright © 1997 John Wiley & Sons, Ltd.
1097-0258/asset/cover.gif?v=1&s=64ebf4a6597e744f418c952845cddf175ccc795f "Statistics in Medicine")
Additional Information
How to Cite
FAY, M. P. and FEUER, E. J. (1997), CONFIDENCE INTERVALS FOR DIRECTLY STANDARDIZED RATES: A METHOD BASED ON THE GAMMA DISTRIBUTION. Statist. Med., 16: 791–801. doi: 10.1002/(SICI)1097-0258(19970415)16:7<791::AID-SIM500>3.0.CO;2-#
Publication History
- Issue published online: 4 DEC 1998
- Article first published online: 4 DEC 1998
- Manuscript Revised: MAY 1996
- Manuscript Received: DEC 1995
- Abstract
- Cited By
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.