summary.lyl_ci

0th

Percentile

Summarize Life Years Lost with confidence intervals

summary for objects of class lyl_ci summarizes Life Years Lost at one specific age or over a range of different ages, including bootstrapped confidence intervals

Usage
# S3 method for lyl_ci
summary(object, decimals = 2, level = 0.95,
  weights = NA, difference = FALSE, ...)
Arguments
object

An object of class lyl_ci (obtained with function lyl_ci).

decimals

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

level

Confidence level (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.

difference

Parameter automatically created by the package.

...

Additional arguments affecting the summary produced.

Value

A table with the summary of the results.

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.

  • lyl_ci to estimate bootstrapped confidence intervals.

Aliases
  • summary.lyl_ci
Examples
# NOT RUN {
# Load simulated data as example
data(simu_data)

# Estimate remaining life expectancy and Life Years
# Lost after age 45 years and before age 95 years
lyl_estimation <- lyl(data = simu_data, t = age_death, status = death,
                      age_specific = 45, tau = 95)

# Calculate bootstrapped confidence interval (3 iterations to test)
lyl_estimation_ci <- lyl_ci(lyl_estimation, niter = 3)
summary(lyl_estimation_ci)

# }
# NOT RUN {
# Estimate remaining life expectancy and Life Years
# Lost after each age from 0 to 94 years and before age 95 years
lyl_estimation2 <- lyl_range(data = simu_data, t = age_death, status = death,
                             age_begin = 0, age_end = 94, tau = 95)

# Calculate bootstrapped confidence interval
lyl_estimation_ci2 <- lyl_ci(lyl_estimation2)
summary(lyl_estimation_ci2, weights = simu_data$age_disease)
# }
Documentation reproduced from package lillies, version 0.2.4, License: MIT + file LICENSE

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