DHAMMIKA AMARATUNGA, Ph D, is Senior Director and Janssen
Fellow in the Nonclinical Statistics and Computing Department at
Janssen R&D, a Johnson & Johnson pharmaceutical company.
His research interests include analysis of large multivariate data
sets generated by functional genomics research, robust and
resistant statistical methods, linear and nonlinear modeling, and
biostatistics.
JAVIER CABRERA, Ph D, is Full Professor in the Department
of Statistics at Rutgers University. He has published over 100
articles in his areas of research interest, which include DNA
microarray, data mining of biopharmaceutical databases, computer
vision, statistical computing and graphics, robustness, and
biostatistics. He has also lectured at Cold Spring Harbor
Laboratory, The Hong Kong University of Science and Technology, and
National University of Singapore.
ZIV SHKEDY, Ph D, is Associate Professor and Statistical
Consultant in the Interuniversity Institute for Biostatistics and
Statistical Bioinformatics, Center for Statistics at Hasselt
University, Belgium. He has published numerous journal articles on
the topics of clinical and non-clinical trials, modeling infectious
disease data, dose-response analysis, Bayesian modeling,
bioinformatics, and analysis of gene expression data.
8 Електронні книги від Ziv Shkedy
Ziv Shkedy & Dhammika Amaratunga: Exploration and Analysis of DNA Microarray and Other High-Dimensional Data
Praise for the First Edition ‘…extremely well written…a comprehensive and up-to-date overview of this important field.’ – Journal of Environmental Quality Exploration and Analysis of DNA Microarr …
EPUB
Англійська
DRM
€112.99
Ziv Shkedy & Dhammika Amaratunga: Exploration and Analysis of DNA Microarray and Other High-Dimensional Data
Praise for the First Edition ‘…extremely well written…a comprehensive and up-to-date overview of this important field.’ – Journal of Environmental Quality Exploration and Analysis of DNA Microarr …
PDF
Англійська
DRM
€112.99
Niel Hens & Ziv Shkedy: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data
Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition f …
PDF
Англійська
€90.94
Dan Lin & Ziv Shkedy: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R
This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user- …
PDF
Англійська
€53.49
Ariel Alonso & Theophile Bigirumurame: Applied Surrogate Endpoint Evaluation Methods with SAS and R
An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such …
EPUB
Англійська
DRM
€58.96
Sepp Hochreiter & Sebastian Kaiser: Applied Biclustering Methods for Big and High-Dimensional Data Using R
Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meani …
EPUB
DRM
€59.06
Sepp Hochreiter & Sebastian Kaiser: Applied Biclustering Methods for Big and High-Dimensional Data Using R
Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meani …
PDF
DRM
€59.28
Ariel Alonso & Theophile Bigirumurame: Applied Surrogate Endpoint Evaluation Methods with SAS and R
An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such …
PDF
Англійська
DRM
€58.73