# lyl_diff

##### 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.

##### 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.

##### 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*