Description Usage Value Author(s) Source References See Also Examples
View source: R/apc_data_sets.R
Function that organises Italian bladder data in apc.data.list
format.
The data set is taken from table IV of Clayton and Schifflers (1987a), which contains age-specific incidence rates (per 100,000 person-years observation) of bladder cancer in Italian males during the period 1955-1979. Numerators are also available. The original source was the WHO mortality database.
The data set is in "AP"-format.
1 |
The value is a list in apc.data.list
format.
rates |
matrix of mortality rates. This is not needed for the |
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. "Italian bladder cancer". |
Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk> 8 Sep 2015 (24 Oct 2013)
Table IV of Clayton and Schifflers (1987a).
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.
General description of apc.data.list
format.
1 2 3 4 5 6 7 8 | #########################
## It is convient to construct a data variable
data <- data.Italian.bladder.cancer()
## To see the content of the data
data
|
$response
1955-1959 1960-1964 1965-1969 1970-1974 1975-1979
25-29 3 3 1 4 12
30-34 16 17 11 8 8
35-39 24 29 33 39 30
40-44 79 76 82 95 115
45-49 234 185 183 267 285
50-54 458 552 450 431 723
55-59 720 867 1069 974 1004
60-64 890 1230 1550 1840 1811
65-69 891 1266 1829 2395 3028
70-74 920 1243 1584 2292 3176
75-79 831 937 1285 1787 2659
$dose
1955-1959 1960-1964 1965-1969 1970-1974 1975-1979
25-29 100.00000 100.00000 100.00000 100.00000 100.00000
30-34 94.11765 94.44444 91.66667 100.00000 88.88889
35-39 75.00000 93.54839 94.28571 92.85714 93.75000
40-44 75.96154 72.38095 90.10989 91.34615 90.55118
45-49 81.81818 73.41270 70.11494 87.82895 90.18987
50-54 68.97590 78.52063 69.98445 66.71827 85.36009
55-59 56.64831 64.74981 73.26936 66.53005 61.29426
60-64 44.25659 51.29274 58.07419 66.78766 63.47704
65-69 36.51639 38.17853 43.42355 50.13607 60.11515
70-74 28.04023 29.37840 29.96028 34.72201 42.55091
75-79 18.24769 19.54526 20.70911 21.11045 25.51579
$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] "Italian bladder cancer"
$n.decimal
NULL
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