sksurv.datasets.load_flchain

sksurv.datasets.load_flchain(*, output_type='pandas')

Load and return assay of serum free light chain for 7874 subjects.

The dataset has 7874 samples and 9 features:

Index	Name	Description
0	age	age in years
1	sex	F=female, M=male
2	sample.yr	the calendar year in which a blood sample was obtained
3	kappa	serum free light chain, kappa portion
4	lambda	serum free light chain, lambda portion
5	flc.grp	the serum free light chain group for the subject, as used in the original analysis
6	creatinine	serum creatinine
7	mgus	whether the subject had been diagnosed with monoclonal gammopathy (MGUS)
8	chapter	for those who died, a grouping of their primary cause of death by chapter headings of the International Code of Diseases ICD-9

The endpoint is death, which occurred for 2169 subjects (27.5%).

See [1], [2] for further description.

Parameters:

output_type ({"pandas", "polars"}, default="pandas") – Dataframe library used for the returned features.

Returns:

• x (pandas.DataFrame or polars.DataFrame) – The measurements for each patient.

• y (structured array with 2 fields) – death: boolean indicating whether the subject died or the event time is right-censored.

  futime: total length of follow-up or time of death.

References

[1]

https://doi.org/10.1016/j.mayocp.2012.03.009

[2]

Dispenzieri, A., Katzmann, J., Kyle, R., Larson, D., Therneau, T., Colby, C., Clark, R., Mead, G., Kumar, S., Melton III, LJ. and Rajkumar, SV. Use of nonclonal serum immunoglobulin free light chains to predict overall survival in the general population, Mayo Clinic Proceedings 87:512-523. (2012)