Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era.
Despite significant progress in dis.
Xiong Gao
Hu Xiong
In addition to laying the foundation for today's online security industry, pkc made encryption technologies accessible to individuals and companies.
Xiangnan Xiong
Yang Sao Xiong
Momiao Xiong
Xiangnan Xiong
Ya-Xiong Tao
Weiyan Xiong
Xiao-Xiong Gan
Momiao Xiong
Kazoua Xiong
Kazoua Xiong
Han Xiong Lian
Kazoua Xiong
Han Xiong Lian
Momiao Xiong
Fengshui Xiong
This book examines socio-economic relationships and cultural changes in contemporary rural china, focusing on the experience of a typical chinese village the working age population of which has been hollowed out by outbound labor migration.
Guoping Xiong
Hu Xiong
As an intermediate model between conventional pkc and id-pkc, cl-pkc can avoid the heavy overhead of certificate management in traditional pkc as well as the key escrow problem in id-pkc altogether.
Xiong Fengshui
This book examines socio-economic relationships and cultural changes in contemporary rural china, focusing on the experience of a typical chinese village the working age population of which has been hollowed out by outbound labor migration.
Xiong Fengshui
Weiyan Xiong
Xiong Fengshui
"this book examines socio-economic relationships and cultural changes in contemporary rural china, focusing on the experience of a typical chinese village the working age population of which has been hollowed out by outbound labor migration.
Cindy Xiong YO
Lee V Xiong
Cindy Xiong YO
Cindy Xiong YO
Cindy Xiong YO
Deming Xiong
Cindy Xiong YO
Li-Yang Xiong
Jiajuan Xiong
Wei Xiong
The paintings of wei xiong are exuberant, mythic and boundless in their expansiveness and energy.
Momiao Xiong
Big data in omics and imaging: integrated analysis and causal inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era.
Momiao Xiong
Momiao Xiong
Momiao Xiong
Jiajuan Xiong
Lirong Xiong
Victor Cunrui Xiong
The crucial period of chinese history, 168-979, falls naturally into contrasting phases.
Deshan Xiong
Jiajuan Xiong
Momiao Xiong
Big data in omics and imaging: association analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era.
Hu Xiong
As an intermediate model between conventional pkc and id-pkc, cl-pkc can avoid the heavy overhead of certificate management in traditional pkc as well as the key escrow problem in id-pkc altogether.
Kim Xiong
Zhehong Xiong
Kim Xiong
Ya-Xiong Tao
A. Gouveia Oliveira
Biostatistics decoded covered a large number of statistical methods that are mainly applied to clinical and epidemiological research, as well as a comprehensive discussion of study designs for observational research and clinical trials, two importa.
A. Gouveia Oliveira
Biostatistics decoded covered a large number of statistical methods that are mainly applied to clinical and epidemiological research, as well as a comprehensive discussion of study designs for observational research and clinical trials, two importa.
Ernst Wit
Peter Mesenbrink
This book provides guidance to the statisticians in industry on the non-technical "soft" skills that one needs to have in order to be successful as a statistician from the first day on the job until the last day.
Mike Hernandez
Marcello Pagano
This edition is a reprint of the second edition published in 2000 by brooks/cole and then cengage learning.
Marcello Pagano
This edition is a reprint of the second edition published in 2000 by brooks/cole and then cengage learning.
Shuichi Shinmura
Lawrence Kupper
Drawn from nearly four decades of lawrence l.
Fathi E. Abd El-Samie
Although there are many books on biometrics, most are limited to a single branch.
John Eddison
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations.
Erick L. Suarez Perez
Striking a balance between theory, application, and programming, biostatistics in public health using stata is a user-friendly guide to applied statistical analysis in public health using stata version 14.
Sinjini Mitra
Christophe Lalanne
Sinjini Mitra
Christophe Lalanne
This volume of the biostatistics and health sciences set focuses on statistics applied to clinical research.
Julien I. E. Hoffman
Thomas Glover
Somnath Dey
This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods.
Jeffrey A. Witmer
Armin Duff
A. Gouveia Oliveira
Study design and statistical methodology are two important concerns for the clinical researcher.
John Pezzullo
Score your highest in biostatistics biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health.
Ratan Dasgupta
Jialiang Li
Joseph L. Fleiss
* includes a new chapter on logistic regression.
Bharat Bhushan
Brandon Eggleston
This book provides a theoretical approach to the field of biostatistics.
Michael R. Chernick
A fundamental and straightforward guide to using and understanding statistical concepts in medical researchdesigned specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, "the essentials of.
Patrick Royston
Through real-world case studies, this book shows how to use stata to estimate a class of flexible parametric survival models.
David G. Kleinbaum
A concise summary of the statistical methods used in the analysis of survival data with censoring.
Alain Pavé
David D. Hanagal
Frailty models have been introduced into the statistical literature to account for the existence of unmeasured attributes, such as genotypes that introduce heterogeneity into a study population.
Lawrence Kupper
Drawn from nearly four decades of lawrence l.
Mario Alberto Cleves
An introduction to survival analysis using stata, third edition provides the foundation to understand various approaches for analyzing time-to-event data.
Ton J. M. Cleophas
This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on spss software.
Mario Alberto Cleves
Written by the developers of stata's widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data.
Mario Alberto Cleves
Written by the developers of stata's widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data.
Jerrold H. Zar
John R. Vacca
biometric technologies and verification systems is organized into nine parts composed of 30 chapters, including an extensive glossary of biometric terms and acronyms.
Nancy L. Geller
From aspects of early trials to complex modeling problems, advances in clinical trial biostatistics summarizes current methodologies used in the design and analysis of clinical trials.
Eileen Magnello
There has been a growing recognition of the importance of mathematical and statistical methods in the history of medicine, particularly in those areas where statistical methods are a sine qua non such as epidemiology and randomised clinical trials..
Michel Thurieux
Jerrold H. Zar
A textbook for an introductory statistics course with applications and examples drawn from the biological sciences.
Jerrold H. Zar
A textbook for an introductory statistics course with applications and examples drawn from the biological sciences.