Mark J. van der Laan is a Hsu/Peace Professor of Biostatistics and Statistics at the University of California, Berkeley. His research concerns causal inference, prediction, adjusting for missing and censored data, and estimation based on high-dimensional observational and experimental biomedical and genomic data. He is the recipient of the 2005 COPSS Presidents’ and Snedecor Awards, as well as the 2004 Spiegelman Award, and is a Founding Editor for the International Journal of Biostatistics.Sherri Rose is currently a Ph D candidate in the Division of Biostatistics at the University of California, Berkeley. Her research interests include causal inference, prediction, and applications in rare diseases. Upon completion of her doctoral degree, she will begin an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins Bloomberg School of Public Health.
4 Ebooks tarafından Mark J. van der Laan
Mark J. van der Laan & Sherri Rose: Targeted Learning
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for …
PDF
İngilizce
€171.19
Mark J. van der Laan & James M Robins: Unified Methods for Censored Longitudinal Data and Causality
During the last decades, there has been an explosion in computation and information technology. This development comes with an expansion of complex observational studies and clinical trials in a vari …
PDF
İngilizce
DRM
€164.23
Mark J. van der Laan & Sherri Rose: Targeted Learning in Data Science
This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap …
EPUB
İngilizce
DRM
€95.67