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. 1
This paper proposes four new confidence intervals for the coefficient of variation of a Poisson dist...
The classic nonparametric confidence intervals for a difference or ratio of medians assume that the ...
Confidence intervals for a standardized effect are derived after stabilizing the variance of the Wel...
Directly standardized mortality rates are examples of weighted sums of Poisson rate parameters. If t...
This paper describes a method for creating a confidence interval for the ratio of rates using the sc...
This study provides a supplemental report of the performance of the confidence interval for direct s...
Unconditional confidence intervals (CIs) for the difference between marginal proportions in matched ...
Methods to find a confidence interval for Poisson distributed variables are illuminated, especially ...
Several methods are available for generating confidence intervals for rate difference, rate ratio, o...
i), i = 1,..., k. We consider construction of a confi-dence interval for the common mean µ of these ...
The standard method of obtaining a two-sided confidence interval for the Poisson mean produces an in...
In this paper we consider the problem of constructing exact confidence intervals for the common mean...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual ...
We compare four methods of computing confidence intervals for a proportion. These four methods are •...
This paper proposes four new confidence intervals for the coefficient of variation of a Poisson dist...
The classic nonparametric confidence intervals for a difference or ratio of medians assume that the ...
Confidence intervals for a standardized effect are derived after stabilizing the variance of the Wel...
Directly standardized mortality rates are examples of weighted sums of Poisson rate parameters. If t...
This paper describes a method for creating a confidence interval for the ratio of rates using the sc...
This study provides a supplemental report of the performance of the confidence interval for direct s...
Unconditional confidence intervals (CIs) for the difference between marginal proportions in matched ...
Methods to find a confidence interval for Poisson distributed variables are illuminated, especially ...
Several methods are available for generating confidence intervals for rate difference, rate ratio, o...
i), i = 1,..., k. We consider construction of a confi-dence interval for the common mean µ of these ...
The standard method of obtaining a two-sided confidence interval for the Poisson mean produces an in...
In this paper we consider the problem of constructing exact confidence intervals for the common mean...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual ...
We compare four methods of computing confidence intervals for a proportion. These four methods are •...
This paper proposes four new confidence intervals for the coefficient of variation of a Poisson dist...
The classic nonparametric confidence intervals for a difference or ratio of medians assume that the ...
Confidence intervals for a standardized effect are derived after stabilizing the variance of the Wel...