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Causation in Population Health Informatics and Data Science Dammann Softcover reprint of the original 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.
| Mediji | Grāmatas Book |
| Izlaists | 2019. gada 12. janvāris |
| ISBN13 | 9783030071745 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 134 |
| Izmēri | 150 × 220 × 20 mm · 261 g |
| Valoda | Vācu |
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