Tutorials in Biostatistics

Beschreibung

The Tutorials in Biostatistics series has become a very popular feature of the journal, Statistics in Medicine. The tutorials are accessible, self-contained and of a uniformly high quality. This book is the second of two volumes presenting the best tutorials published in the journal, focusing on statistical modelling of complex medical data. Topics include clustered data, hierarchical models, mixed models, genetic modelling, and meta-analysis. Each tutorial has been fully peer-reviewed and edited, and authored by leading researchers in biostatistics. * Presents a collection of tutorials in biostatistics, taken from the prestigious Wiley journal, Statistics in Medicine. * Focuses on modelling of complex medical data, including clustered data, hierarchical models, mixed models, genetic modelling, and meta-analysis. * Each tutorial has been fully peer reviewed and edited to ensure a high level of quality and to maintain the practical focus. * Suitable for medical practitioners with a good understanding of statistics. * Each tutorial has been authored by leading researchers in the field. The Tutorials in Biostatistics volumes provide an authoritative and readable introduction to a wide range of topics suitable for statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists, and geneticists. Graduate students of biostatistics will find they make excellent reference volumes to support their study.
The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the second of two volumes presenting the best tutorials published in SIM, focusing on statistical modeling of complex data. Topics include clustered data, hierarchical models, mixed models, genetic modeling, and meta-analysis. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references. This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.

Autor*in

Ralph D'Agostino

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