Analysis of categorical data from biological experiments with logistic regression and CMH tests.
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| Title: | Analysis of categorical data from biological experiments with logistic regression and CMH tests. |
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| Authors: | Androwski RJ; Department of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Popovitchenko T; Department of Genetics, Waksman Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Smart AJ; Department of Genetics, Waksman Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Ogino S; Department of Genetics, Waksman Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Wang G; Department of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Saba M; Department of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Rongo C; Department of Genetics, Waksman Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Driscoll M; Department of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America., Roy J; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, United States of America. |
| Source: | PloS one [PLoS One] 2025 Nov 17; Vol. 20 (11), pp. e0335143. Date of Electronic Publication: 2025 Nov 17 (Print Publication: 2025). |
| 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.0335143 |
