Mark J. van der Laan

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Mark J. van der Laan
Born 1967
Netherlands
Alma mater Utrecht University (PhD)
Awards COPSS Presidents' Award (2005)
Scientific career
Fields Statistics, Biostatistics
Institutions University of California, Berkeley
Doctoral advisor Richard D. Gill, with guidance by Peter J. Bickel

Mark Johannes 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 is a founding editor of the Journal of Causal Inference.

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[edit]

  • 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[edit]

  1. ^ "Presidents' Award: Past Award Recipients" (PDF). Archived from the original (PDF) on 1 July 2015. Retrieved 9 June 2014. 
  2. ^ Mark J. van der Laan at the Mathematics Genealogy Project
  3. ^ "Mark van der Laan, PhD, is Recipient of 2004 Spiegelman Award". Spring 2005. Archived from the original on 15 July 2014. Retrieved 9 June 2014. 
  4. ^ "The Van Dantzig Award". Retrieved 2 June 2014.