Targeted Learning Causal Inference for Observational and Experimental Data

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 PhD candidate in the Division of Biostatistics at the University of California, Berkeley.  Her research interests include causal inference, prediction, and applications…  More 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.  Less