indirect_proportional_incidence_ratio: Compute the indirect proportional incidence ratio (pir)

In cancerradarr: Cancer RADAR Project Tool

Compute the indirect proportional incidence ratio (pir)

Description

Compute the indirect proportional incidence ratio (pir)

Usage

indirect_proportional_incidence_ratio(
  ncan,
  ntot,
  ncanref,
  ntotref,
  ncan.min = 5
)

Arguments

ncan	integer, (age-specific) number of cancers in the population of interest
ntot	integer, (age-specific) total number of cancer the the population of interest
ncanref	integer, (age-specific) number of cancers in the reference population
ntotref	integer, (age-specific) total number of cancer the the reference of interest
ncan.min	integer, minimum number of observation required not to mask the CI's out Indirect proportional incidence ratio and associated 95% confidence interval are computing assuming normal distribution of the pir on the log scale. pir is a summary statistics that should be computed per group of individuals providing age specific counts.

Value

a 1 line and 3 column data.frame containing the pir (est) and associated 95% CI (lci, uci)

References

Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. IARC Sci Publ. 1991;(95):126-58. PMID: 1894318.

Examples

ncan <- 1:10
ntot <- 11:20
ncanref <- 41:50
ntotref <- 251:260
ncan.min <- 5

indirect_proportional_incidence_ratio(ncan, ntot, ncanref, ntotref, ncan.min)
indirect_proportional_incidence_ratio(ncan, ntot, ncanref, ntotref, sum(ncan) + 1)

cancerradarr documentation built on Aug. 8, 2025, 7:28 p.m.