data.Belgian.lung.cancer: Belgian lung cancer data

In apc: Age-Period-Cohort Analysis

Description

Function that organises Belgian lung cancer data in apc.data.list format.

The data set is taken from table VIII of Clayton and Schifflers (1987a), which contains age-specific incidence rates (per 100,000 person-years observation) of lung cancer in Belgian females during the period 1955-1978. Numerators are also available. The original source was the WHO mortality database.

The data set is in "AP"-format. The original data set is unbalanced since the first four period groups cover 5 years, while the last covers 4 years. The primary data set has 4 period groups, which is obtained when using the function without arguments or with argument unbalanced=FALSE. The secondary data set has 5 uneven sized period groups, wwhich is obtained when using the function with argument unbalanced=TRUE. The apc.package is at present not aimed at such unbalanced data.

Usage

data.Belgian.lung.cancer(unbalanced = FALSE)

Arguments

unbalanced

logical. If TRUE (default), the last 4-year group column of the data is ignored.

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. "Belgian lung cancer".

Author(s)

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

Source

Table VIII of Clayton and Schifflers (1987a).

References

Clayton, D. and Schifflers, E. (1987a) Models for temperoral variation in cancer rates. I: age-period and age-cohort models. Statistics in Medicine 6, 449-467.

See Also

General description of apc.data.list format.

Examples

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

data	<- data.Belgian.lung.cancer()

##	To see the content of the data

data

Example output

$response
      1955-1959 1960-1964 1965-1969 1970-1974
25-29         3         2         7         3
30-34        11        16        11        10
35-39        11        22        24        25
40-44        36        44        42        53
45-49        77        74        68        99
50-54       106       131        99       142
55-59       157       184       189       180
60-64       193       232       262       249
65-69       219       267       323       325
70-74       223       250       308       412
75-79       198       214       253       338

$dose
      1955-1959 1960-1964 1965-1969 1970-1974
25-29 15.789474 15.384615 14.000000 15.789474
30-34 16.666667 16.326531 15.277778 14.084507
35-39 14.102564 16.666667 16.326531 15.243902
40-44 13.483146 13.924051 16.600791 15.680473
45-49 15.909091 13.214286 13.793103 16.363636
50-54 16.060606 15.411765 12.941176 13.408876
55-59 15.154440 15.333333 14.905363 12.552301
60-64 13.075881 14.172266 14.555556 14.147727
65-69 10.667316 11.814159 12.971888 13.357994
70-74  8.498476  9.025271 10.108303 11.153221
75-79  5.915745  6.367153  6.880609  7.736324

$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
NULL

$n.decimal
NULL

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