data.Japanese.breast.cancer: Japanese breast cancer data

Description Usage Value Author(s) Source References See Also Examples

View source: R/apc_data_sets.R

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

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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 <bent.nielsen@nuffield.ox.ac.uk> 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

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

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

##	To see the content of the data

data

Example output

$response
      1955-1959 1960-1964 1965-1969 1970-1974 1975-1979
25-29        88        78       101       127       179
30-34       299       330       363       509       588
35-39       596       680       798       923      1056
40-44       874       962      1171      1497      1716
45-49      1022      1247      1429      1987      2398
50-54      1035      1258      1560      2079      2794
55-59       970      1087      1446      1828      2465
60-64       820       861      1126      1549      1962
65-69       678       738       878      1140      1683
70-74       640       628       656       900      1162
75-79       497       463       536       644       865

$dose
      1955-1959 1960-1964 1965-1969 1970-1974 1975-1979
25-29 200.00000 205.26316 219.56522 230.90909 263.23529
30-34 176.92308 195.26627 207.42857 220.34632 233.33333
35-39 148.62843 174.35897 194.16058 207.88288 220.00000
40-44 132.62519 146.42314 171.95301 192.16945 207.49698
45-49 120.09401 129.76067 143.47390 170.11986 191.68665
50-54  98.66540 116.48148 126.21359 142.49486 168.71981
55-59  85.38732  94.43962 111.40216 122.11089 138.56099
60-64  68.16293  80.69353  88.87135 107.12310 119.48843
65-69  54.02390  61.34663  72.56198  82.54888 102.24787
70-74  40.48071  45.27758  51.85771  64.28571  74.48718
75-79  27.65721  29.64149  33.85976  40.99300  52.36077

$data.format
[1] "AP"

$age1
[1] 25

$per1
[1] 1955

$coh1
[1] 5

$unit
[1] 5

$per.zero
NULL

$per.max
NULL

$time.adjust
[1] 0

$label
[1] "Japanese breast cancer"

$n.decimal
NULL

apc documentation built on Oct. 23, 2020, 6:17 p.m.