Work

Dataset for Bayesian parametric models for survival prediction in medical applications

Year: 2023

Type: dataset

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7429721

Authors: Paolucci, Iwan, Yuan-Mao Lin, Albuquerque, Jessica, Brock, Kristy K., Odisio, Bruno C.

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: Precision medicine for loco-regional treatments of liver tumors, Artificial intelligence-enabled tumor boards for curative loco-regional therapies of colorectal liver metastasis

OpenAlex ID: W4393546881

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