DMlate {Epi} | R Documentation |
These two datasets each contain a random sample of 10,000 persons from
the Danish National Diabetes Register. DMrand
is a random sample
from the register, whereas DMlate
is a random sample among those
with date of diagnosis after 1.1.1995.
data(DMrand) data(DMlate)
A data frame with 10000 observations on the following 6 variables.
sex
M
F
dobth
dodm
dodth
doins
dox
All dates are given in fractions of years, so 1997.00 corresponds to 1 January 1997 and 1997.997 to 31 December 1997.
Danish National Board of Health.
B Carstensen, JK Kristensen, P Ottosen and K Borch-Johnsen: The Danish National Diabetes Register: Trends in incidence, prevalence and mortality, Diabetologia, 51, pp 2187–2196, 2008.
In partucular see the appendix at the end of the paper.
data(DMlate) str(DMlate) dml <- Lexis( entry=list(Per=dodm, Age=dodm-dobth, DMdur=0 ), exit=list(Per=dox), exit.status=factor(!is.na(dodth),labels=c("DM","Dead")), data=DMlate ) # Split follow-up at Insulin dmi <- cutLexis( dml, cut=dml$doins, new.state="Ins", pre="DM" ) summary( dmi ) # Introduce a new timescale dmi <- cutLexis( dml, cut=dml$doins, new.state="Ins", pre="DM", new.scale=TRUE ) head( dmi ) # Split the states following insulin and explictily name the new timescale dmi <- cutLexis( dml, cut=dml$doins, new.state="Ins", pre="DM", new.scale="Instime", split.states=TRUE ) summary( dmi )