Read While You Wait - Get immediate ebook access, if available*, when you order a print book

Statistical Modeling for Biological Systems

In Memory of Andrei Yakovlev

Editors: Almudevar, Anthony, Oakes, David, Hall, Jack (Eds.)

Free Preview
  • Reflects upon Andrei Yakovlev’s impact in several areas of statistics
  • Highlights applications of the theory of biology, medicine and public health
  • Includes contributions by distinguished statisticians in the field of survival analysis, stochastic modeling, branching processes, and analysis of micro-array data
see more benefits

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-030-34675-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-3-030-34674-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

​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.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Stochastic Models of Cell Proliferation Kinetics Based on Branching Processes

    Pages 3-20

    Yanev, Nikolay M.

  • Age-Dependent Branching Processes with Non-homogeneous Poisson Immigration as Models of Cell Kinetics

    Pages 21-46

    Hyrien, Ollivier (et al.)

  • A Study of the Correlation Structure of Microarray Gene Expression Data Based on Mechanistic Modeling of Cell Population Kinetics

    Pages 47-61

    Chen, Linlin (et al.)

  • Correlation Between the True and False Discoveries in a Positively Dependent Multiple Comparison Problem

    Pages 63-79

    Qiu, Xing (et al.)

  • Multiple Testing Procedures: Monotonicity and Some of Its Implications

    Pages 81-96

    Gordon, Alexander Y.

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-030-34675-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-3-030-34674-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Statistical Modeling for Biological Systems
Book Subtitle
In Memory of Andrei Yakovlev
Editors
  • Anthony Almudevar
  • David Oakes
  • Jack Hall
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-34675-1
DOI
10.1007/978-3-030-34675-1
Hardcover ISBN
978-3-030-34674-4
Edition Number
1
Number of Pages
XXII, 354
Number of Illustrations
34 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.