Colossus: software for radiation epidemiological studies with big data

Colossus is designed to meet a growing need for survival analysis software capable of analyzing tens of millions of rows of radiation epidemiological data. Colossus is an R package devised to offer scalable survival analysis for the Million Person Study. The total and relative rate equations available in Colossus are outlined in this article, which are used in conjunction with Cox proportional hazards, Poisson, and Fine-Grey regression models. Following a comparison with existing software, validation with epidemiological cohort data is described. Exposure data and specific causes of death among workers at Los Alamos National Laboratory and U.S. nuclear power plants were analyzed by Colossus and 32-bit Epicure and compared with published results. Colossus results agreed with the results of existing software and previous publications.

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Publication Details

Journal
Journal of Radiological Protection
Published
2025-04-16
DOI
https://doi.org/10.1088/1361-6498/adcd80
Citations
3
Primary Topic
Carcinogens and Genotoxicity Assessment
Type
article
Field-Weighted Citation Impact
2.81
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article

Colossus: software for radiation epidemiological studies with big data

Sarah S. Cohen, John D. Boice, Benjamin C. French, Linda Walsh et al.
3 citations
Journal of Radiological Protection
Carcinogens and Genotoxicity Assessment
2.81
article

Colossus: software for radiation epidemiological studies with big data

Sarah S. Cohen, John D. Boice, Benjamin C. French, Linda Walsh, Amir A. Bahadori, Daniel Andresen, Eric Giunta, Lawrence T. Dauer, Steve R. Blattnig, Dawson Stutzman
article en
3 citations

Abstract

Colossus is designed to meet a growing need for survival analysis software capable of analyzing tens of millions of rows of radiation epidemiological data. Colossus is an R package devised to offer scalable survival analysis for the Million Person Study. The total and relative rate equations available in Colossus are outlined in this article, which are used in conjunction with Cox proportional hazards, Poisson, and Fine-Grey regression models. Following a comparison with existing software, validation with epidemiological cohort data is described. Exposure data and specific causes of death among workers at Los Alamos National Laboratory and U.S. nuclear power plants were analyzed by Colossus and 32-bit Epicure and compared with published results. Colossus results agreed with the results of existing software and previous publications.

Journal of Radiological ProtectionVol. 45(2)
Langley Research Center (US), Memorial Sloan Kettering Cancer Center (US), Kansas State University (US), ZHAW Zurich University of Applied Sciences (CH), University of Zurich (CH), HCA Healthcare (US), Duke Regional Hospital (US), Zurich Chamber of Commerce (CH), National Council on Radiation Protection and Measurements (US), Vanderbilt University Medical Center (US)
Good health and well-being
Openalex Percentile: Top 10%
Carcinogens and Genotoxicity Assessment
2.81
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Colossus: software for radiation epidemiological studies with big data — Sarah S. Cohen, John D. Boice, et al. · Journal of Radiological Protection (2025) | TGRS Research Map | TGRS