lyl_diff

0th

Percentile

Summarize differences in Life Years Lost.

lyl_diff summarizes differences in estimated Life Years Lost in two different populations: lyl_estimation compared to lyl_estimation0.

Usage
lyl_diff(lyl_population1, lyl_population0, decimals = 2, level = 0.95,
weights = NA)
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.

lyl_population0

Reference population: 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.

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.

Value

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

• 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.

• lyl_diff
Examples
# NOT RUN {
# Load simulated data as example
data(simu_data)

### For the overall population and for those with a disease
diseased <- simu_data[!is.na(simu_data$age_disease), ] # Estimate remaining life expectancy and Life Years # Lost due to specific causes of death after age 45 # years and before age 95 years lyl_estimation0 <- lyl(data = simu_data, t = age_death, status = cause_death, age_specific = 45, tau = 95) lyl_estimation1 <- lyl(data = diseased, t0 = age_disease, t = age_death, status = cause_death, age_specific = 45, tau = 95) lyl_diff(lyl_estimation1, lyl_estimation0) # Calculate bootstrapped confidence interval (3 iterations to test) lyl_estimation1_ci <- lyl_ci(lyl_estimation1, niter = 3) # } # NOT RUN { lyl_estimation0_ci <- lyl_ci(lyl_estimation0, niter = 3) lyl_diff(lyl_estimation1_ci, lyl_estimation0_ci) # } # NOT RUN { # It is also possible to assume no uncertainty for one of the estimates lyl_diff(lyl_estimation1_ci, lyl_estimation0) # } # NOT RUN { # Estimate remaining life expectancy and Life Years # Lost due to specific causes of death after each age # from 0 to 94 years and before age 95 years lyl_estimation2 <- lyl_range(data = simu_data, t = age_death, status = cause_death, age_begin = 0, age_end = 94, tau = 95) lyl_estimation3 <- lyl_range(data = diseased, t0 = age_disease, t = age_death, status = cause_death, age_begin = 0, age_end = 94, tau = 95) lyl_diff(lyl_estimation3, lyl_estimation2) lyl_diff(lyl_estimation3, lyl_estimation2, weights = diseased$age_disease)

# Calculate bootstrapped confidence interval (3 iterations to test)
lyl_estimation3_ci <- lyl_ci(lyl_estimation3, niter = 3)
lyl_diff(lyl_estimation3_ci, lyl_estimation2, weights = diseased\$age_disease)
# }
Documentation reproduced from package lillies, version 0.2.4, License: MIT + file LICENSE

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