Mark J. van der Laan
Mark J. van der Laan | |
---|---|
Born |
1967 Netherlands |
Fields | Statistics, Biostatistics |
Institutions | University of California, Berkeley |
Alma mater | Utrecht University (PhD) |
Doctoral advisor | Richard D. Gill, with guidance by Peter J. Bickel |
Notable awards | COPSS Presidents' Award (2005) |
Mark J. van der Laan is the Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at the University of California, Berkeley. He has made contributions to survival analysis, semiparametric statistics, multiple testing, and causal inference.[1] He also developed the targeted maximum likelihood methodology.
He received his Ph.D. from Utrecht University in 1993 with a dissertation titled "Efficient and Inefficient Estimation in Semiparametric Models".[2] He received the COPSS Presidents' Award in 2005, the Mortimer Spiegelman Award in 2004, and the van Dantzig Award in 2005.[3][4]
Bibliography
- Van Der Laan, M.J.; Robins, J.M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer Series in Statistics. Springer. ISBN 0-387-95556-9.
- Van Der Laan, M.J.; Rose, S. (2011). Targeted Learning: Causal Inference for Observational and Experimental Data. Springer Series in Statistics. Springer. ISBN 1-441-99781-4.
- Dudoit, S.; Van Der Laan, M.J. (2008). Multiple Testing Procedures with Applications to Genomics. Springer Series in Statistics. Springer. ISBN 0-387-49316-6.
References
- ↑ "Presidents’ Award: Past Award Recipients" (PDF). Retrieved 9 June 2014.
- ↑ Mark J. van der Laan at the Mathematics Genealogy Project
- ↑ "Mark van der Laan, PhD, is Recipient of 2004 Spiegelman Award". Spring 2005. Retrieved 9 June 2014.
- ↑ "The Van Dantzig Award". Retrieved 2 June 2014.
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