olt: Ordinary Life Table (OLT) for a given year
In clayford/bme: Biostatistical Methods in Epidemiology

Description Usage Arguments Value References See Also Examples

Construct an ordinary life table for a given year. The ordinary life table (OLT) provides a method of analyzing mortality for all causes of death combined.

1	olt(group, deaths, pop, radix = 1e+05, phi = 1, linear = TRUE)

`group`	The age group vector as integer. For example, 0, 1, 5, ... where 0 indicates birth to one year, 1 indicates age 1 to age 5, and so forth. See data used with example below.
`deaths`	The number of deaths from all causes for each age group as a numeric vector.
`pop`	The population for each age group as a numeric vector.
`radix`	The number of individuals in the OLT birth cohort. Typically set to a large number like 100,000.
`phi`	The multiplier for sensitivity analysis. For example, set to 0.9 to examine mortality implications for a declining death rate.
`linear`	logical indicating which functional form to use to calculate number of survivors to age x (lxj). Default is TRUE, which means use linear form. Otherwise use exponential.

a data.frame with length(group) rows and 8 columns:

group: Age group
qj: conditional probability of dying
pj: conditional probability of surviving
lxj: number of survivors to age x
dj: number of deaths in age group
Lj: number of person years in age group
Txj: Number of person years after age x
exj: Life expectancy at age x

Newman (2001), pages 264-269.

cdlt and mdlt

## Example 13.1
with(males, olt(group = age.group, deaths = deaths.all, pop = pop))
## predicted life expectancy birth is 73.34

## with sensitivity analysis for declinind death rate:
with(males, olt(group = age.group, deaths = deaths.all, pop = pop, phi = 0.9))
## predicted life expectancy birth is 75.65