This edition: Includes new chapter on data science Updated material
on measurement error, deterministic modeling, infectious diseases,
preferential sampling Introduces modern computational methods,
including INLA, together with code for implementation Represents
major new direction in environmental epidemiology Full color
throughout Underscores increasing need to consider dependencies in
both space and time when modeling epidemiological data. Students
learn how to identify and model patterns in spatio-temporal data as
well as exploit dependencies over space and time to reduce bias and
inefficiency.
General
| Imprint: |
Taylor & Francis
|
| Country of origin: |
United Kingdom |
| Series: |
Chapman & Hall/CRC Texts in Statistical Science |
| Release date: |
November 2023 |
| First published: |
2024 |
| Authors: |
Gavin Shaddick
• James V. Zidek
• Alexandra M. Schmidt
|
| Dimensions: |
234 x 156mm (L x W) |
| Pages: |
472 |
| Edition: |
2nd edition |
| ISBN-13: |
978-1-03-239781-8 |
| Categories: |
Books
|
| LSN: |
1-03-239781-0 |
| Barcode: |
9781032397818 |
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