data.Japanese.breast.cancer {apc}

Japanese breast cancer data

Description

Function that organises Japanese breast data in apc.data.list format.

The data set is taken from table I of Clayton and Schifflers (1987b), which contains age-specific mortality rates (per 100,000 person-years observation) of breast cancer in Japan, during the period 1955-1979. Reported in 5 year age groups and 5 year period groups. Numbers of cases on which rates are based are also available. The original source was WHO mortality data base.

The data set is in "AP"-format.

Usage

data.Japanese.breast.cancer()

Value

The value is a list in apc.data.list format.

rates

matrix of mortality rates. This is not needed for the apc.data.list format, but included as this is the original data formats

response

matrix of cases

dose

matrix of cases/rates

data.format

logical equal to "AP". Data organised with age-groups in rows and period-groups in columns.

age1

numeric equal to 25. This is the label for the first age group covering ages 25-29.

per1

numeric equal to 1955. This is the label for the first period group covering period 1955-1959.

coh1

NULL. Not needed when data.format="AP"

unit

numeric equal to 5. This is the width of the age and period groups.

per.zero

NULL. Not needed when data.format="AP"

per.max

NULL. Not needed when data.format="AP"

time.adjust

0. Thus age=25 in period=1955 corresponds to cohort=1955-25+0=1930, and indeed the centers of the age and period groups, that is age=27 and period=1957 translate into cohort=1957-27+0=1930.

label

character. "Japanese breast cancer".

Author(s)

Bent Nielsen <[e-mail]> 8 Sep 2015 (24 Oct 2013)

Source

Table I of Clayton and Schifflers (1987b)

References

Clayton, D. and Schifflers, E. (1987b) Models for temperoral variation in cancer rates. II: age-period-cohort models. Statistics in Medicine 6, 469-481.

See Also

General description of apc.data.list format.

Examples

#########################
##	It is convient to construct a data variable

data	<- data.Japanese.breast.cancer()

##	To see the content of the data

data