Male lung cancer cases and population riks time in Denmark, for the
period 1943--1992 in ages 40--89.
Usage
data(lungDK)
Arguments
Format
A data frame with 220 observations on the following 9 variables.
A5:
Left end point of the age interval, a numeric vector.
P5:
Left enpoint of the period interval, a numeric vector.
C5:
Left enpoint of the birth cohort interval, a numeric vector.
up:
Indicator of upper trianges of each age by period
rectangle in the Lexis diagram. (up=(P5-A5-C5)/5).
Ax:
The mean age of diagnois (at risk) in the triangle.
Px:
The mean date of diagnosis (at risk) in the triangle.
Cx:
The mean date of birth in the triangle, a numeric vector.
D:
Number of diagnosed cases of male lung cancer.
Y:
Risk time in the male population, person-years.
Details
Cases and person-years are tabulated by age and date of
diagnosis (period) as well as date of birth (cohort) in 5-year
classes. Each observation in the dataframe correponds to a triangle in
a Lexis diagram. Triangles are classified by age and date of
diagnosis, period of diagnosis and date of birth, all in 5-year
groupings.
References
For a more thorough exposition of statistical inference in the Lexis
diagram, see: B. Carstensen: Age-Period-Cohort models for the Lexis
diagram. Statistics in Medicine, 26: 3018-3045, 2007.
data( lungDK )
# Draw a Lexis diagram and show the number of cases in it.attach( lungDK )
Lexis.diagram( age=c(40,90), date=c(1943,1993), coh.grid=TRUE )
text( Px, Ax, paste( D ), cex=0.7 )