This dataset is a transformation of the example dataset used by Crowther and Lambert in their multistate paper.
A data frame with 2982 observations on the following 17 variables:
Calendar year of diagnosis
Age at diagnosis
Menopausal status; a factor with levels
Tumour size; a factor with levels
Tumour grade; a factor with levels
Number of positive lymph nodes, a numeric vector
Progesteron receptor level
Transformed progesteron level
Estrogen receptor level
Hormon therapy at diagnosis; a factor with levels
Chemotherapy treatment; a factor with levels
Time of relapse, years since diagnosis
Time of metastasis, years since diagnosis
Time of death, years since diagnosis
Time of exit from study, years since diagnosis
Vital status at exit; a factor with levels
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
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