LAR_batch: Estimate Lifetime Attributable Risk for several people

In LARisk: Estimation of Lifetime Attributable Risk of Cancer from Radiation Exposure

Description

LAR_batch is used to estimate lifetime attributable radiation-related cancer risk for data with several people.

Usage

LAR_batch(
  data,
  pid,
  basedata,
  sim = 300,
  seed = 99,
  current = as.numeric(substr(Sys.Date(), 1, 4)),
  ci = 0.9,
  weight = NULL,
  DDREF = TRUE,
  basepy = 1e+05
)

Arguments

data	data frame containing demographic information and exposure information. See 'Details'.
pid	a vector which distinguish each person.
basedata	a list of the data of lifetime table and incidence rate table. The first element is lifetime table and the second is incidence rate table.
sim	number of iteration of simulation.
seed	a random seed number.
current	a current year. default is year of the system time.
ci	confidence level of the confidence interval.
weight	a list containing the value between 0 and 1 which is a weight on ERR model. See 'Details'.
DDREF	logical. Whether to apply the dose and dose-rate effectiveness factor.
basepy	number of base person-years

Value

LAR_batch returns an object of multiple classes "LAR_batch", "LAR". An object of class LAR_batch is a list of LAR class objects which names of elements are ID of each person.

References

Berrington de Gonzalez, A., Iulian Apostoaei, A., Veiga, L., Rajaraman, P., Thomas, B., Owen Hoffman, F., Gilbert, E. and Land, C. (2012). RadRAT: a radiation risk assessment tool for lifetime cancer risk projection. Journal of Radiological Protection, 32(3), pp.205-222.

National Research Council (NRC) and Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation (2005) Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2 (Washington, DC: National Academy of Sciences)

See Also

LAR, LAR_group

Examples

## example with lifetime and incidence rate table in 2010 Korea.
lar1 <- LAR_batch(nuclear, pid=nuclear$ID, basedata = list(life2010, incid2010))
summary(lar1)

LARisk documentation built on Feb. 7, 2022, 9:07 a.m.