xdm20.test {BART} | R Documentation

## A data set used in example of `recur.bart`.

### Description

A matrix containing a 20% random sample of the testing set for a real data example of recurrent events survival analysis. There are 100 patients in the cohort: 50 in the training set and 50 in the testing set. See the Reference below (and the References therein) for more detailed information; a brief synopsis follows.

`xdm20.test` contains both the training set and the testing set. There are 798 unique time points so there are 50*798=39900 rows of the training set followed by 50*798=39900 rows of the testing set. For patient's who died prior to the end of follow-up, their external factors are last value carried forward. Therefore, we can use `xdm20.test` to estimate the cumulative hazard for all patients for all time points.

The full data set, `xdm.test`, can be obtained online at http://www.mcw.edu/FileLibrary/Groups/Biostatistics/TechReports/TechReports5175/tr064.tar. There are 488 patients in the full cohort: 235 in the training set and 253 in the testing set.

`xdm.test` contains both the training set and the testing set. There are 798 unique time points so there are 235*798=187530 rows of the training set followed by 253*798=201894 rows of the testing set. For patient's who died prior to the end of follow-up, their external factors are last value carried forward.

### Usage

    data(xdm20.test)

### References

Sparapani R., Rein L., Tarima S., Jackson T., Meurer J. (2017) Nonparametric recurrent events analysis with BART and an application to the hospital admissions of patients with diabetes. MCW Biostatistics Technical Report 64 http://www.mcw.edu/FileLibrary/Groups/Biostatistics/TechReports/TechReports5175/tr064.pdf.

### See Also

xdm20.train

### Examples

    data(xdm20.test)
    head(xdm20.test[ , 1:10])

[Package BART version 2.5 Index]