st_rate: Standardized mortality rates and confidence intervals
In SocEpi: Health Inequality Analysis

Description Usage Arguments Value Examples

st_rate calculates direct standardized mortality rates and the 95% or 99% confidence intervals. Default standardization uses the 2013 European Standard Population, but other built-in or user supplied weights can also be supplied.

st_rate(
  data,
  health,
  population,
  ses,
  age,
  groups = NULL,
  age_group = NULL,
  st_pop = "esp2013_18ag",
  CI = 95,
  total = 1000
)

`data`	Name of data set.
`health`	Health outcome of interest.
`population`	Population counts. Should correspond to data provided in `health`.
`ses`	Categorical deprivation measure used for splitting the data.
`age`	Variable that defines 5-year age groups, should be ordered and numeric, such as 1 through 18. If the age group coding starts with 0 it will be assumed that age groups 0 and 1-4 are separate. If the age group starts with 1, it will be assumed that the first age group is 0-4 (ages 0 and 1-4 are combined).
`groups`	Conditions such as sex or ethnicity that together define the sub-population for which the rates are calculated for. Default is `NULL`, no sub-population is selected.
`age_group`	The age groups the standardized rates should be calculated for. By default the function calculates results for the following age groups: 0-14, 15-29, 30-44, 45-59, 60-74, 75+, 0-64 and all ages. User supplied age groups should be provided using the standard population groups as cut-offs, e.g. use `age_group=c("20-29", "30-39")` and not `c("19-30", "31-41")`. Open ended age groups can be supplied by giving a single age, e.g. "45" means 45 and above. Overlapping age groups, such as `c("20-29", "25-34")`, are not supported. Results for ages 0-64 and all ages will always be provided.
`st_pop`	The standard population weights used for calculating rates, default 2013 ESP for 18 age groups with 0-4 as the first age group. See `st_pop` for other predefined options. Can be user supplied, but must match the number of age groups given in `age` and add up to 1.
`CI`	Confidence intervals, 95 by default but can be set to any number between 0 and 100.
`total`	The total number of people in the standard population, i.e. are rates be calculated per 1000 or 100 000, default 1000

A data frame giving standardized rates by age group and deprivation together with CI.

d <- health_data

# Standardized rates for all people
st_rate(d, bad, pop, quintile, age, ethnicity == "all")

# Or save results
rate_data <- st_rate(d, bad, pop, quintile, age, ethnicity == "all")
# Then use View(rate_data) to view results

# Standardized rates for Scottish, with 99% CI
st_rate(d, bad, pop, quintile, age, ethnicity == "Scot", age_group = c("15-29", "30-44"), CI = 99)