| BrCa | R Documentation |
This dataset is a transformation of the example dataset used by Crowther and Lambert in their multistate paper.
data(BrCa)
A data frame with 2982 observations on the following 17 variables:
pidPerson-id; numeric
yearCalendar year of diagnosis
ageAge at diagnosis
menoMenopausal status; a factor with levels pre post
sizeTumour size; a factor with levels <=20 mm >20-50 mm >50 mm
gradeTumour grade; a factor with levels 2 3
nodesNumber of positive lymph nodes, a numeric vector
prProgesteron receptor level
pr.trTransformed progesteron level
erEstrogen receptor level
hormonHormon therapy at diagnosis; a factor with levels no yes
chemoChemotherapy treatment; a factor with levels no yes
torTime of relapse, years since diagnosis
tomTime of metastasis, years since diagnosis
todTime of death, years since diagnosis
toxTime of exit from study, years since diagnosis
xstVital status at exit; a factor with levels Alive Dead
The dataset has been modified to contain the times (since diagnosis) of the events of interest, to comply with the usual structure of data.
The original data were extracted from: http://fmwww.bc.edu/repec/bocode/m/multistate_example.dta, this is modified representation of the same amount of information.
The data were used as example in the paper by Crowther and Lambert: Parametric multistate survival models: Flexible modelling allowing transition-specific distributions with application to estimating clinically useful measures of effect differences; Stat Med 36 (29), pp 4719-4742, 2017. (No, it is not the paper, just the title.)
A parallel analysis using the Lexis machinery is available
as: http://bendixcarstensen.com/AdvCoh/papers/bcMS.pdf
data(BrCa)
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