Biostatistics for Medical and Biomedical Practitioners
Nonfiction, Science & Nature, Mathematics, Applied, Statistics
| Author: | Julien I. E. Hoffman, MD, FRCP | ISBN: | 9780128026076 |
| Publisher: | Elsevier Science | Publication: | September 3, 2015 |
| Imprint: | Academic Press | Language: | English |
| Author: | Julien I. E. Hoffman, MD, FRCP |
| ISBN: | 9780128026076 |
| Publisher: | Elsevier Science |
| Publication: | September 3, 2015 |
| Imprint: | Academic Press |
| Language: | English |
Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences.
The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors.
The book is based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields.
- Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.)
- Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums
- Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies
Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences.
The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors.
The book is based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields.
- Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.)
- Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums
- Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies
