Dataset for Bayesian parametric models for survival prediction in medical applications
Description
Data Source
The data for these experiments were derived from these sources:
* Hosmer Jr DW, Lemeshow S, May S. Applied Survival Analysis: Regression Modeling of Time-to-Event Data. 2nd ed: John Wiley & Sons; 2008.
* Jd K, Prentice R. The statistical analysis of failure time data. New York: John Wiley and Sons; 1980.
* Fleming T, Harrington D. Counting Processes and Survival Analysis: John Wiley & Sons; 1991.
The raw data was downloaded from web archive.
https://web.archive.org/web/20170114043458/http://www.umass.edu/statdata/statdata/data/
Contents
Each folder contains the original data, a textfile with a description of the data, and the pre-processed version with one-hot encoded variables. An additional YAML file is included with the list of included variables, name of the time and censor variable, name of continuous variables and splitting and partitioning information.
Files
data.zip
Files
(180.0 kB)
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md5:deb9349e33f9415c5382cbd24d9b3462
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Additional details
Funding
- Precision medicine for loco-regional treatments of liver tumors P2BEP3_195444
- Swiss National Science Foundation
- Artificial intelligence-enabled tumor boards for curative loco-regional therapies of colorectal liver metastasis 210871
- Swiss National Science Foundation
References
- Hosmer Jr DW, Lemeshow S, May S. Applied Survival Analysis: Regression Modeling of Time-to-Event Data. 2nd ed: John Wiley & Sons; 2008.
- Jd K, Prentice R. The statistical analysis of failure time data. New York: John Wiley and Sons; 1980.
- Fleming T, Harrington D. Counting Processes and Survival Analysis: John Wiley & Sons; 1991.