sa_relrisk: List of smoking relative risks by condition, age and sex
In ianbatesncc/aafractions.ncc: Alcohol Attributable Fractions Lookup Tables

Description Usage Format See Also Examples

Provides lookup tables for use with smoking attributable fractions analyses.

1	sa_relrisk

data frame with 1,016 rows and 8 fields

Observations: 1,016
Variables: 8
$ age            <fct> 35 - 54, 35 - 54, 35 - 54, 35 - 54, 35 - 54, 35 - 54, 35 - 54, 35 - 54, 35 - 54, 35 - 54...
$ condition_uid  <int> 16, 16, 16, 16, 16, 16, 16, 16, 18, 18, 18, 18, 18, 18, 18, 18, 14, 14, 14, 14, 14, 14, ...
$ sex            <chr> "men", "men", "men", "men", "women", "women", "women", "women", "men", "men", "men", "me...
$ smoking_status <chr> "current", "current", "ex", "ex", "current", "current", "ex", "ex", "current", "current"...
$ ab_sa_explode  <chr> "35 - 44", "45 - 54", "35 - 44", "45 - 54", "35 - 44", "45 - 54", "35 - 44", "45 - 54", ...
$ analysis_type  <chr> "morbidity", "morbidity", "morbidity", "morbidity", "morbidity", "morbidity", "morbidity...
$ srr            <dbl> 4.20, 4.20, 2.00, 2.00, 5.30, 5.30, 2.60, 2.60, 4.40, 4.40, 1.10, 1.10, 5.40, 5.40, 1.30...
$ version        <chr> "nhsd_ss_2018", "nhsd_ss_2018", "nhsd_ss_2018", "nhsd_ss_2018", "nhsd_ss_2018", "nhsd_ss...#'

Other smoking datasets: lu_sac_icd10, sa_conditions, smoking_datasets, sp

if (isNamespaceLoaded("dplyr")) {
  require("dplyr")

  aafractions.ncc::sa_relrisk %>%
    mutate_if(is.character, as.factor) %>%
    select(-starts_with("condition_")) %>%
    summary(16)
}