# lyl_aggregated

##### Life Years Lost at one specific age using aggregated data.

`lyl`

estimates differences in remaining life expectancy and Life Years Lost
for two given life tables `data`

and `data0`

after a specific age `age_speficic`

and restrictied to a maximum theoretical age \(\tau\).

##### Usage

```
lyl_aggregated(data, age, rates, surv, data0, age0, rates0, surv0,
age_specific, censoring_label = "Alive", death_labels = "Dead",
tau = 100)
```

##### Arguments

- data
A dataframe, where each raw represents an age, for the population of interest. 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`

containing information on age.- rates
Variable in

`data`

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

`data`

containing information on age-specific survival probability.- data0
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).

- age0
Variable in

`data0`

containing information on age.- rates0
Variable in

`data0`

containing information on age-specific mortality rates.- surv0
Variable in

`data0`

containing information on age-specific survival probability.- age_specific
Specific age at which the Life Years Lost have to be estimated.

- censoring_label
Label for censoring status (

`"Alive"`

by default).- death_labels
Label for event status (

`"Dead"`

by default).- tau
Remaining life expectancy and Life Years Lost are estimated restrictied to a maximum theoretical age \(\tau\) (\(\tau\)=100 years by default).

##### Value

A list with class `"lyl_aggregated"`

containing the following components:

`data`

: Name of the dataset preovided in parameter`data`

`data0`

: Name of the dataset preovided in parameter`data0`

`LYL`

: Data frame with 1 observation and 3 variables:`age`

which corresponds to`age_spefific`

; and`life_exp`

and`life_exp0`

which are the estimated remaining life expectancies at age`age_specific`

years and before age`tau`

years for the population provided in`data`

and`data0`

, respectively`tau`

: Maximum theoretical age \(\tau\)`age_specific`

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

: A data frame in long format with 3 variables`time`

,`cause`

, and`cip`

used to create a Figure of Life Years Lost with function`plot`

.`censoring_label`

: Label for censoring status`death_labels`

: Label(s) for death status`type`

: Whether the estimation is at`"age_specific"`

or`"age_range"`

##### References

Andersen PK. Life years lost among patients with a given disease.

*Statistics in Medicine*. 2017;36(22):3573- 3582.Andersen PK. Decomposition of number of life years lost according to causes of death.

*Statistics in Medicine*. 2013;32(30):5278-5285.

##### See Also

`lyl_aggregated_range`

for estimation of Life Years Lost for a range of different ages.`summary.lyl_aggregated`

to summarize objects obtained with function`lyl_aggregated`

.`plot.lyl_aggregated`

to plot objects obtained with function`lyl_aggregated`

.

##### Examples

```
# NOT RUN {
# Load simulated data as example
data(aggreg_data)
data(pop_ref)
# Estimate remaining life expectancy and Life Years
# Lost after age 70 years and before age 90 years
lyl_summary_data70 <- lyl_aggregated(data = aggreg_data, age = age, rates = rate,
data0 = pop_ref, age0 = age, surv0 = survival,
age_specific = 70, tau = 90)
# Summarize and plot the data
summary(lyl_summary_data70)
plot(lyl_summary_data70)
# }
```

*Documentation reproduced from package lillies, version 0.2.4, License: MIT + file LICENSE*