data.asbestos: Asbestos data

In apc: Age-Period-Cohort Analysis

Description

Function that organises asbestos data in apc.data.list format.

Counts of mesothelioma deaths in the UK by age and period. Mesothelioma is most often caused by exposure to asbestos.

The data set is in "PA"-format.

data.asbestos is for men 1967-2012 data.asbestos.2013 is the same as data.asbestos.2013.men and is for men 1968-2013. data.asbestos.2013.women and is for women 1968-2013.

The primary data set includes ages 25-89, which is obtained when using the function without arguments or with argument all.age.groups=FALSE. The secondary data includes younger and older age groups, which is obtained when using the function with argument all.age.groups=TRUE. The apc.package is at present not aimed at such unbalanced data.

Usage

data.asbestos(all.age.groups = FALSE)
data.asbestos.2013(all.age.groups = FALSE)
data.asbestos.2013.women(all.age.groups = FALSE)
data.asbestos.2013.men(all.age.groups = FALSE)

Arguments

all.age.groups

logical. If FALSE (default), only age groups 25-89 are included.

Value

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

response	matrix of cases. Numbers of mesothelioma deaths by period and age. Period runs 1967-2007. Age runs 25-89 when all.age.groups=FALSE. "PA"-format.
dose	NULL
data.format	logical equal to "PA". Data organised with period-groups in rows and age-groups in columns.
age1	numeric equal to 25. This is the label for the first age group of 25.
per1	numeric equal to 1967. This is the label for the first period group of 1967.
coh1	NULL. Not needed when data.format="PA"
unit	numeric equal to 1. This is the width of the age and period groups.
per.zero	NULL. Not needed when data.format="PA"
per.max	NULL. Not needed when data.format="PA"
time.adjust	0. Thus age=89 in period=1967 corresponds to cohort=1967-89+0=1878.
label	character. "UK asbestos".

Author(s)

Bent Nielsen <[e-mail]> 30 April 2016

Source

Data were prepared for the Asbestos Working Party by the UK Health and Safety Executive. An APC analysis of these data can be found in Martinez Miranda, Nielsen and Nielsen (2015). The results of that paper are reproduced in the vignette ReproducingMMNN2015.pdf, ReproducingMMNN2015.R on Vignettes. These data are also used in Nielsen (2015).

The updated data set data.asbestos.2013 is for 1968-2013 and has the same structure. This is analysed in Martinez-Miranda, Nielsen and Nielsen (2016).

References

Martinez Miranda, M.D., Nielsen, B. and Nielsen, J.P. (2015) Inference and forecasting in the age-period-cohort model with unknown exposure with an application to mesothelioma mortality. Journal of the Royal Statistical Society A 178, 29-55. Download: Nuffield DP.

Martinez-Miranda, M.D., Nielsen, B. and Nielsen, J.P. (2016) A simple benchmark for mesothelioma projection for Great Britain. To appear in Occupational and Environmental Medicine. Download: Nuffield DP.

Nielsen, B. (2015) apc: An R package for age-period-cohort analysis. R Journal 7, 52-64. Download: Open access.

See Also

General description of apc.data.list format.

Examples

#########################
#	apc data list

data.list	<- data.asbestos()
objects(data.list)

#####################
#	Figure 1,a-c from
#	Miranda Martinex, Nielsen and Nielsen (2015).

data.list	<- data.asbestos()	
apc.plot.data.sums(data.list,type="l")

#####################
#	Figure 1,d from
#	Miranda Martinex, Nielsen and Nielsen (2015).
data.list	<- data.asbestos()	
apc.plot.data.within(data.list,type="l",lty=1)

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