ggbsegCoverageFromYear {DDM}

estimate death registration coverage for a single year/sex/region using the modified Bennett-Horiuchi method

Description

Given two censuses and an average annual number of deaths in each age class between censuses, we can use stable population assumptions to estimate the degree of underregistration of deaths. The method estimates age-specific degrees of coverage. The age pattern of these is assumed to be noisy, so we take the arithmetic mean over some range of ages. One may either specify a particular age-range, or let the age range be determined automatically. If the age-range is found automatically, this is done using the method developed for the generalized growth-balance method. Part of this method relies on a prior value for remaining life expectancy in the open age group. By default, this is estimated using a standard reference to the Coale-Demeny West model life table, although the user may also supply a value. The difference between this method and seg() is that here we adjust census 1 part way through processing, based on some calculations similar to GGB. Called by ggbseg(). Users probably do not need to use this function directly.

Usage

ggbsegCoverageFromYear(codi, minA = 15, maxA = 75, minAges = 8,
  exact.ages = NULL, eOpen = NULL, deaths.summed = FALSE)

Arguments

codi

data.frame with columns, $pop1, $pop2, $deaths, $date1, $date2, $sex, $age, and $cod (to indicate regions, periods, sexes).

minA

the minimum of the age range searched. Default 15

maxA

the maximum of the age range searched. Default 75

minAges

the minimum number of adjacent ages needed as points for fitting. Default 8

exact.ages

optional. use an exact set of ages to estimate coverage.

eOpen

optional. A user-specified value for remaining life-expectancy in the open age group.

deaths.summed

logical. is the deaths column given as the total per age in the intercensal period (TRUE). By default we assume FALSE, i.e. that the average annual was given.

Details

Census dates can be given in a variety of ways: 1) using Date classes, and column names $date1 and $date2 (or an unambiguous character string of the date, like, "1981-05-13") or 2) by giving column names "day1","month1","year1","day2","month2","year2" containing integers. If only year1 and year2 are given, then we assume January 1 dates. If year and month are given, then we assume dates on the first of the month.

Value

a data.frame with columns for the coverage coefficient, and the min and max of the age range on which it is based.