lyl_diff_ref

0th

Percentile

Summarize differences in Life Years Lost.

lyl_diff summarizes differences in estimated Life Years Lost in two different populations: lyl_estimation1 compared to a life table provided in data_ref.

Usage
lyl_diff_ref(lyl_population1, data_ref, age, surv, rates, decimals = 2,
  level = 0.95, weights = NA, lyl_population0)
Arguments
lyl_population1

Population of interest: An object of class lyl or lyl_range (obtained with functions lyl or lyl_range). Alternatively, an object of class lyl_ci can be provided for bootstrapped confidence intervals.

data_ref

A dataframe, where each raw represents an age, for the population of reference The dataframe will contain information on age-specific mortality rates or survivial probability (if both parameters are provided, rates will be used).

age

Variable in data_ref containing information on age.

surv

Variable in data_ref containing information on age-specific survival probability.

rates

Variable in data_ref containing information on age-specific mortality rates.

decimals

Number of decimals to be reported (default is 2).

level

Confidence level if lyl_population1 or lyl_population0 is obtained with the lyl_ci function (default is 0.95 for 95% confidence intervals)

weights

Vector with age distribution of disease/condition onset to be used when Life Years Lost are estimated over a range of ages (with lyl_range function). If weights are not provided (dafault is weights = NA), then the differences in Life Years Lost at each age is provided. If weights are provided, then a weighted average is provided.

lyl_population0

Parameter automatically created.

Value

A table with the summary of the differences between two populations.

See Also

  • lyl for estimation of Life Years Lost at one specific age.

  • lyl_range for estimation of Life Years Lost for a range of different ages.

Aliases
  • lyl_diff_ref
Examples
# NOT RUN {
# Load simulated data as example
data(simu_data)
data(pop_ref)

# Estimate remaining life expectancy and Life Years
# Lost due to specific causes of death after age 45
# years and before age 95 years for those with a disease
diseased <- simu_data[!is.na(simu_data$age_disease), ]
lyl_estimation1 <- lyl(data = diseased, t0 = age_disease,
                       t = age_death, status = cause_death,
                       age_specific = 45, tau = 95)
lyl_diff_ref(lyl_estimation1, pop_ref, age = age, surv = survival)
lyl_diff_ref(lyl_estimation1, pop_ref, age = age, rates = mortality_rates)

# Calculate bootstrapped confidence interval (3 iterations to test; more are necessary)
lyl_estimation1_ci <- lyl_ci(lyl_estimation1, niter = 3)
lyl_diff_ref(lyl_estimation1_ci, pop_ref, age = age, surv = survival)

# }
# NOT RUN {
# Estimate remaining life expectancy and Life Years
# Lost due to specific causes of death after each age
# from 0 to 94 years and before age 95 years
lyl_estimation2 <- lyl_range(data = diseased, t0 = age_disease,
                             t = age_death, status = cause_death,
                             age_begin = 0, age_end = 94, tau = 95)
lyl_diff_ref(lyl_estimation2, pop_ref, age = age, surv = survival)
lyl_diff_ref(lyl_estimation2, pop_ref, age = age, surv = survival, weights = diseased$age_disease)
# }
# NOT RUN {
# }
Documentation reproduced from package lillies, version 0.2.4, License: MIT + file LICENSE

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