Description Usage Arguments Details Value References

Calculate a directly standardised rate with confidence interval based on a specified method.

1 2 |

`x` |
a vector of strata-specific counts |

`n` |
a vector of strata-specific time bases for counts |

`w` |
a vector of strata-specific weights (or standard populations) |

`ci.method` |
method used to calculate the confidence interval. See details |

`level` |
the confidence level required |

`mult` |
a factor to multiply the estimate to give rates per |

`...` |
Further arguments passed to the confidence interval function. |

Five groupds of methods can be specified using
`'ci.method'`

, with variations on each depending on the method.
five groups are:

`'asymptotic'` | Using the normal approximation of the
MLE distribution (or transformed MLE distribution).
See `ci.asymptotic` for more details and
the currently implemented transformations. |

`'moments'` | Moment matching based on Dobson et al (1991).
A variety methods for constructing the confidence interval on the
unweighted sum of `x` . - See `ci.moments` for more details. |

`'gamma'` | Based on the gamma distribution (Fay & Feuer 1997).
See `ci.gamma` for more details and modifications implemented. |

`'beta'` | Based on the beta distribution as proposed by
Tiwari et al (2006). See `ci.beta` for details and
the modifications implemented. |

`'bootstrap'` | Appromiximate Bootstrap Confidence proposed by Swift (1995). |

`dsr`

returns an object of class "`dsr`

" . The function `confint`

is used
to return a confidence interval using a specified method

An object of class "`dsr`

" is a list containing the following components:

`estimate` | the estimate of the directly standardised rate |

`lower` | lower bound of the confidence interval |

`upper` | upper bound of the confidence interval |

`level` | the level of confidence |

`ci.method` | method used to calcalate the confidence interval |

`method.arg` | additional argument passed to ci method function |

`call` | the matched call |

`mult` | The multiplicative factor to scale the final estimate |

`strata` | number of strata or summands |

Dobson, AJ, Kuulasmaa, K, Eberle, E and Scherer, J (1991)
'Confidence intervals for weighted sums of Poisson parameters',
*Statistics in Medicine*, **10**: 457–462.
doi: 10.1002/sim.4780100317

Swift, MB (1995). 'Simple confidence intervals for
standardized rates based on the approximate bootstrap method',
*Statistics in Medicine*, **14**, 1875–1888.
doi: 10.1002/sim.4780141704.

Fay & Feuer (1997). 'Confidence intervals for directly
standardized rates: a method based on the gamma distribution.
Statistics in Medicine*. **16**: 791–801.
https://doi.org10.1002/(SICI)1097-0258(19970415)16:7<791::AID-SIM500>3.0.CO;2-%23

Tiwari, Clegg, & Zou (2006). 'Efficient interval estimation
for age-adjusted cancer rates.'
*Statistical Methods in Medical Research* **15**: 547–569.
doi: 10.1177/0962280206070621

Ng, Filardo, & Zheng (2008). 'Confidence interval estimating
procedures for standardized incidence rates.'
*Computational Statistics and Data Analysis* **52** 3501-3516.
doi: 10.1016/j.csda.2007.11.004

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.