Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)

Research article (PLoS Computational Biology, 2016) · cited 13× · AI/ML
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Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)

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Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS) is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS). Retrieved May 24, 2026, from https://4ort.xyz/entity/computationally-efficient-implementation-of-a-novel-algorithm-for-the-general-unified-threshold-model-of-survival-guts
MLA “Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computationally-efficient-implementation-of-a-novel-algorithm-for-the-general-unified-threshold-model-of-survival-guts.
BibTeX @misc{4ortxyz_computationally-efficient-implementation-of-a-novel-algorithm-for-the-general-unified-threshold-model-of-survival-guts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)}}, year = {2026}, url = {https://4ort.xyz/entity/computationally-efficient-implementation-of-a-novel-algorithm-for-the-general-unified-threshold-model-of-survival-guts}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS) — https://4ort.xyz/entity/computationally-efficient-implementation-of-a-novel-algorithm-for-the-general-unified-threshold-model-of-survival-guts (retrieved 2026-05-24)

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