Description Usage Arguments Value References Examples

Find standardized incidence ratios and standardized mortality ratios with indirect adjustment.

1 2 3 4 5 6 7 8 9 | ```
indirect_adjust(
df,
study_count,
study_pop,
ref_count,
ref_pop,
level = 95,
decimals = 2
)
``` |

`df` |
A data frame. |

`study_count` |
Number of events in study group. |

`study_pop` |
Number of person-years at risk in study group. |

`ref_count` |
Number of events in referent group. |

`ref_pop` |
Number of person-years at risk in referent group. |

`level` |
Confidence level as percentage. |

`decimals` |
Number of decimal places in expected counts, SIR's and confidence intervals. |

A data table with the following fields:

`observed`

Number of events in study group

`expected`

Number of events expected in study group based on rate in referent group

`sir`

SIR: Standardized incidence (or mortality) ratio

`sir_lci`

Lower confidence limit of SIR using method of Garwood (1936)

`sir_uci`

Upper confidence limit of SIR by Garwood

Garwood F (1936) Fiducial limits for the Poisson distribution, Biometrika 28:437-442.

1 2 3 4 5 6 7 | ```
# standardized incidence ratio of US cancer incidence for males
# compared to females
library(dplyr)
sir_by_year <- cancer %>%
group_by(Year) %>%
group_modify(~ reshape_for_SIR(.x, agegroup, Sex, "Male", n, pop)) %>%
group_modify(~ indirect_adjust(.x, study_count, study_pop, ref_count, ref_pop))
``` |

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