Mark J. van der Laan

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

• 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.  Cite uses deprecated parameter |coauthors= (help)

References