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Kategorie szczegółowe BISAC

New Frontiers of Biostatistics and Bioinformatics

ISBN-13: 9783319993881 / Angielski / Twarda / 2018 / 463 str.

Yichuan Zhao; Ding-Geng Chen
New Frontiers of Biostatistics and Bioinformatics Yichuan Zhao Ding-Geng Chen 9783319993881 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

New Frontiers of Biostatistics and Bioinformatics

ISBN-13: 9783319993881 / Angielski / Twarda / 2018 / 463 str.

Yichuan Zhao; Ding-Geng Chen
cena 645,58 zł
(netto: 614,84 VAT:  5%)

Najniższa cena z 30 dni: 616,85 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
Bez gwarancji dostawy przed świętami

Darmowa dostawa!

The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data.

Kategorie:
Nauka, Matematyka
Kategorie BISAC:
Mathematics > Prawdopodobieństwo i statystyka
Business & Economics > Industries - Computers & Information Technology
Medical > Biostatistics
Wydawca:
Springer
Seria wydawnicza:
Icsa Book Series in Statistics
Język:
Angielski
ISBN-13:
9783319993881
Rok wydania:
2018
Wydanie:
2018
Ilość stron:
463
Waga:
0.85 kg
Wymiary:
23.39 x 15.6 x 2.69
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane


Yichuan Zhao is a Professor of Statistics at Georgia State University in Atlanta. He has a joint appointment as Associate Member of the Neuroscience Institute and he is also an affiliated faculty member of School of Public Health at Georgia State University.  His current research interest focuses on Survival Analysis, Empirical Likelihood Method, Nonparametric Statistics, Analysis of ROC Curves, Bioinformatics, Monte Carlo Methods, and Statistical Modeling of Fuzzy Systems. He has published over 80 research articles in statistics, has co-edited two books on statistics, biostatistics & data science, and has been invited to deliver more than 170 research talks nationally and internationally. Dr. Zhao has organized the Workshop Series on Biostatistics and Bioinformatics since its initiation in 2012. He also organized the 25th ICSA Applied Statistics Symposium in Atlanta as a chair of the organizing committee to great success. He is currently serving as editor, or on the editorial board, for several statistical journals. Dr. Zhao is an elected member of the International Statistical Institute. 

Ding-Geng (Din) Chen is a Fellow of the American Statistical Association and is currently the Wallace Kuralt distinguished professor at the University of North Carolina at Chapel Hill. He was a professor at the University of Rochester and the Karl E. Peace endowed eminent scholar chair in biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceuticals and government agencies with extensive expertise in Monte-Carlo simulations, clinical trial biostatistics and public health statistics. Professor Chen has more than 100 referred professional publications, has co-authored and co-edited six books on clinical trial methodology, meta-analysis and public health applications, and has been invited nationally and internationally to give speeches on his research. Professor Chen was honored with the "Award of Recognition" in 2014 by the Deming Conference Committee for highly successful advanced biostatistics workshop tutorials with his books.


This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas.

Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners. 



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