Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol.
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| Title: | Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol. |
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| Authors: | Fichtner UA; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, Section for Healthcare Research and Rehabilitation Research (SEVERA), University of Freiburg, Freiburg, Germany.; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Knaus J; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Graf E; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Koch G; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Sahlmann J; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Stelzer D; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Wolkewitz M; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Binder H; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany., Weber S; Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany. |
| Source: | PloS one [PLoS One] 2024 Dec 04; Vol. 19 (12), pp. e0308375. Date of Electronic Publication: 2024 Dec 04 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0308375 |
