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Modern Methods for Epidemiology
Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct ap...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Modern Methods for Epidemiology |h [electronic resource] / |c edited by Yu-Kang Tu, Darren C. Greenwood. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a Dordrecht : |b Springer Netherlands : |b Imprint: Springer, |c 2012. | |
| 300 | |a XII, 316 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 520 | |a Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become indispensible tools for researchers working in epidemiology and medicine but are rarely discussed in details by standard textbooks of biostatistics or epidemiology. Contributors of this book are experienced researchers and experts in their respective fields. This textbook provides a solid starting point for those who are new to epidemiology, and for those looking for guidance in more modern statistical approaches to observational epidemiology. Epidemiological and biomedical researchers who wish to overcome the mathematical barrier of applying those methods to their research will find this book an accessible and helpful reference for self-learning and research. This book is also a good source for teaching postgraduate students in medical statistics or epidemiology. | ||
| 650 | 0 | |a Medicine-Research. | |
| 650 | 0 | |a Biology-Research. | |
| 650 | 0 | |a Epidemiology. | |
| 650 | 0 | |a Biometry. | |
| 650 | 0 | |a Cancer. | |
| 650 | 1 | 4 | |a Biomedical Research. |
| 650 | 2 | 4 | |a Epidemiology. |
| 650 | 2 | 4 | |a Biostatistics. |
| 650 | 2 | 4 | |a Cancer Biology. |
| 700 | 1 | |a Tu, Yu-Kang. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Greenwood, Darren C. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789400730250 |
| 776 | 0 | 8 | |i Printed edition: |z 9789400794061 |
| 776 | 0 | 8 | |i Printed edition: |z 9789400730236 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-94-007-3024-3 |z Texto Completo |
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| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||