Description Usage Arguments Value References See Also Examples

`lyl_ci`

estimates confidence intervals for Life Years Lost using non-parametric
bootstrap. The confidence level can be specified when summarizing the results with
the function `summary.lyl_ci`

.

1 | ```
lyl_ci(lyl_estimation, niter = 1000)
``` |

`lyl_estimation` |
An object of class |

`niter` |
Number of iterations for the bootstrap (default is 1,000). |

A list with class `"lyl_ci"`

containing the following components:

`LYL`

: Data frame with one observation per age and at least 3 variables:`age`

;`life_exp`

which is the estimated remaining life expectancy at age`age_specific`

years and before age`tau`

years; and one variable corresponding to the estimated Life Years Lost for each specific cause of death. If only one cause of death is considered (no competing risks), this variable is`Dead`

and includes the total overall Life Years Lost`LYL_ci`

: Data frame with one observation per age-iteration and at least 4 variables:`age`

;`iteration`

, which correspond to each specific iteration;`life_exp`

which is the estimated remaining life expectancy at age`age_specific`

years and before age`tau`

years; and one variable corresponding to the estimated Life Years Lost for each specific cause of death. If only one cause of death is considered (no competing risks), this variable is`Dead`

and includes the total overall Life Years Lost`tau`

: Maximum theoretical age*τ*`age_specific`

: Specific age at which the Life Years Lost have been estimated`age_begin`

: Specific starting age at which the Life Years Lost have been estimated`age_end`

: Specific ending age at which the Life Years Lost have been estimated`death_labels`

: Label(s) for death status`competing_risks`

: Logical value (`TRUE`

= more than one cause of death (competing risks))`type`

: Whether the estimation is at`"age_specific"`

or`"age_range"`

.`niter`

: Number of iterations used to estimate the confidence intervals

Plana-Ripoll et al. lillies – An R package for the estimation of excess Life Years Lost among patients with a given disease or condition.

*PLoS ONE*. 2020;15(3):e0228073.

`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`

to compare Life Years Lost for two populations.`summary.lyl_ci`

to summarize objects obtained with function`lyl_ci`

.`plot.lyl_ci`

to plot objects obtained with function`lyl_ci`

.

`lyl_range`

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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
# 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; more are necessary)
lyl_estimation_ci <- lyl_ci(lyl_estimation, niter = 3)
summary(lyl_estimation_ci)
plot(lyl_estimation_ci)
# 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, niter = 10)
summary(lyl_estimation_ci2, weights = simu_data$age_disease)
plot(lyl_estimation_ci2, weights = simu_data$age_disease)
``` |

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