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Causation in Population Health Informatics and Data Science Dammann 1st ed. 2019 edition
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Causation in Population Health Informatics and Data Science
Dammann
Furthermore, a formal epistemology for the health sciences and public health is suggested. Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking on causal inference in population health informatics.
134 pages, 1 Illustrations, color; 14 Illustrations, black and white; IX, 134 p. 15 illus., 1 illus.
| Media | Books Book |
| Released | November 9, 2018 |
| ISBN13 | 9783319963068 |
| Publishers | Springer International Publishing AG |
| Pages | 134 |
| Dimensions | 241 × 161 × 14 mm · 415 g |
| Language | German |
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