Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev - Tapa dura

Almudevar

 
9783030346744: Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev
Tapa dura
ISBN 10: 3030346749 ISBN 13: 9783030346744
Editorial: Springer, 2020

Sinopsis

This book commemorates the scientific contributions of distinguished statistician, Andrei Yakovlev. It reflects upon Dr. Yakovlev’s many research interests including stochastic modeling and the analysis of micro-array data, and throughout the book it emphasizes applications of the theory in biology, medicine and public health. The contributions to this volume are divided into two parts. 

Part A consists of original research articles, which can be roughly grouped into four thematic areas: (i) branching processes, especially as models for cell kinetics, (ii) multiple testing issues as they arise in the analysis of biologic data, (iii) applications of mathematical models and of new inferential techniques in epidemiology, and (iv) contributions to statistical methodology, with an emphasis on the modeling and analysis of survival time data. 
Part B consists of methodological research reported as a short communication, ending with some personal reflections on research fields associated with Andrei and on his approach to science. The Appendix contains an abbreviated vitae and a list of Andrei’s publications, complete as far as we know. 
The contributions in this book are written by Dr. Yakovlev’s collaborators and notable statisticians including former presidents of the Institute of Mathematical Statistics and of the Statistics Section of the AAAS. Dr. Yakovlev’s research appeared in four books and almost 200 scientific papers, in mathematics, statistics, biomathematics and biology journals. Ultimately this book offers a tribute to Dr. Yakovlev’s work and recognizes the legacy of his contributions in the biostatistics community.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

​Anthony Almudevar is an Associate Professor of Biostatistics and Computational Biology at the University of Rochester. He received his Ph.D from the Department of Statistics at the University of Toronto. His research interests include genetics, bioinformatics, optimization and control theory, particularly in the area of Markov Decision Processes. 
David Oakes is a Professor of Biostatistics and Statistics at the University of Rochester. He received his Ph.D from London University. His major research interests are in the area of survival analysis, especially models for the effect of explanatory variables on survival and for multivariate survival data. More recent work has largely focused on the models for bivariate survival models generated by unobserved random effects, often called frailties.
W. Jackson “Jack” Hall, Ph.D., was Emeritus Professor of Statistics and Professor in the Department of Biostatistics and Computational Biology at the University of Rochester. He was an international authority on statistical designs for modern clinical trials. Throughout a distinguished career that spanned more than 40 years in Rochester, Dr. Hall made numerous contributions to the field of mathematical statistics.

De la contraportada

This book commemorates the scientific contributions of distinguished statistician, Andrei Yakovlev. It reflects upon Dr. Yakovlev s many research interests including stochastic modeling and the analysis of micro-array data and throughout the book it emphasizes applications of the theory in biology, medicine and public health. The contributions to this volume are divided into two parts. 

Part A consists of original research articles, which can be roughly grouped into four thematic areas, (i) branching processes, especially as models for cell kinetics, (ii) multiple testing issues as they arise in the analysis of biologic data, (iii) applications of mathematical models and of new inferential techniques in epidemiology, and (iv) contributions to statistical methodology, with an emphasis on the modeling and analysis of survival time data. 
Part B consists of methodological research reported as a short communication, ending with some personal reflections on research fields associated with Andrei and on his approach to science. The Appendix contains an abbreviated vitae and a list of Andrei s publications, complete as far as we know. 
The contributions in this book are written by Dr. Yakovlev s collaborators and notable statisticians including former Presidents of the Institute of Mathematical Statistics and of the Statistics Section of the AAAS. Dr. Yakovlev s research appeared in four books and almost 200 scientific papers, in mathematics, statistics, biomathematics and biology journals. Ultimately this book offers a tribute to Dr. Yakovlev s work and recognizes the legacy of his contributions in the biostatistics community.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030346749
ISBN 13 
9783030346744
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
376
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9783030346775: Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev

Edición Destacada

ISBN 10:  3030346773 ISBN 13:  9783030346775
Editorial: Springer, 2021
Tapa blanda