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Causation in Population Health Informatics and Data Science Dammann 1st ed. 2019 edition
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 | 2018. gada 9. novembris |
| ISBN13 | 9783319963068 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 134 |
| Izmēri | 241 × 161 × 14 mm · 408 g |
| Valoda | Vācu |
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