Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery
Summary
Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery is a scholarly article[1].
Key Facts
Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery. Retrieved May 24, 2026, from https://4ort.xyz/entity/variable-selection-methods-for-multiple-regressions-influence-the-parsimony-of-risk-prediction-models-for-cardiac-surger
MLA“Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/variable-selection-methods-for-multiple-regressions-influence-the-parsimony-of-risk-prediction-models-for-cardiac-surger.
BibTeX@misc{4ortxyz_variable-selection-methods-for-multiple-regressions-influence-the-parsimony-of-risk-prediction-models-for-cardiac-surger_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery}}, year = {2026}, url = {https://4ort.xyz/entity/variable-selection-methods-for-multiple-regressions-influence-the-parsimony-of-risk-prediction-models-for-cardiac-surger}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery — https://4ort.xyz/entity/variable-selection-methods-for-multiple-regressions-influence-the-parsimony-of-risk-prediction-models-for-cardiac-surger (retrieved 2026-05-24)
