R: Census Data Sets for the Expected Survival and Person Years...

ratetables {survival} | R Documentation

## Census Data Sets for the Expected Survival and Person Years Functions

### Description

Census data sets for the expected survival and person years functions.

### Details

us

  total United States population, by age and sex, 1960 to 1980.

uswhite

  United States white population, by age and sex, 1950 to 1980. This is no longer included, but can be extracted from `survexp.usr` as shown in the examples.

usr

  United States population, by age, sex and race, 1960 to 1980. Race is white, nonwhite, or black. For 1960 and 1970 the black population values were not reported separately, so the nonwhite values were used.

mn

  total Minnesota population, by age and sex, 1970 and 1980.

mnwhite

  Minnesota white population, by age and sex, 1960 to 1980.

fl

  total Florida population, by age and sex, 1970 and 1980.

flr

  Florida population, by age, sex and race, 1970-1980. Race is white, nonwhite, or black. For 1970 the black population values were not reported separately, so the nonwhite values were used.

az

  total Arizona population, by age and sex, 1970 and 1980.

azr

  Arizona population, by age, sex and race, 1970-1980. Race is white versus nonwhite. For 1970 the nonwhite population values were not reported separately. In order to make the rate table be a matrix, the 1980 values were repeated. (White and non-white values are quite different).

Each of these tables contains the daily hazard rate for a matched subject from the population, defined as -\log(1-q)/365.24 where q is the 1 year probability of death as reported in the original tables. For age 25 in 1970, for instance, p = 1-q is is the probability that a subject who becomes 25 years of age in 1970 will achieve his/her 26th birthday. The tables are recast in terms of hazard per day entirely for computational convenience. (The fraction .24 in the denominator is based on 24 leap years per century.)

Each table is stored as an array, with additional attributes, and can be subset and manipulated as standard S arrays. Interpolation between calendar years is done “on the fly” by the `survexp` routine.

Some of the deficiencies, e.g., 1970 Arizona non-white, are a result of local (Mayo Clinic) conditions. The data probably exists, but we don't have a copy it in the library.

The tables have been augmented to contain extrapolated values for 1990 and 2000. The details can be found in Mayo Clinic Biostatistics technical report 63 at http://www.mayo.edu/hsr/techrpt.html.

### Examples

    survexp.uswhite <- survexp.usr[,,"white",]

[Package survival version 2.37-7 Index]