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cancerradarr (version 1.3.1)

standardized_incidence_rate_difference: Age-standardized incidence rates differences (asird)

Description

Age-standardized incidence rates differences (asird)

Usage

standardized_incidence_rate_difference(
  ncan,
  py,
  ncanref,
  pyref,
  pystd,
  ncan.min = 5
)

Value

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

Arguments

ncan

integer, (age-specific) number of cancers in the population of interest

py

integer, (age-specific) person-year in the the population of interest

ncanref

integer, (age-specific) number of cancers in the reference population

pyref

integer, (age-specific) person-year in the the reference population

pystd

numeric, (age-specific) standard population person-years (e.g. standard world population)

ncan.min

integer, minimum number of observation required not to mask the CI's out

Age-standardized incidence rate difference (asird) is computed without confidence interval estimation for now. asird is a summary statistics that should be computed per group of individuals providing age specific counts.

References

https://www.hsph.harvard.edu/thegeocodingproject/analytic-methods/

Examples

Run this code
ncan <- 1:10
py <- 101:110
ncanref <- 41:50
pyref <- 251:260
pystd <- 10:1
ncan.min <- 5
standardized_incidence_rate_difference(ncan, py, ncanref, pyref, pystd, ncan.min)
standardized_incidence_rate_difference(ncan, py, ncanref, pyref, pystd, sum(ncan) + 1)

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