# Hemant Ishwaran

Professor, Graduate Program Director, Director of Statistical Methodology, Division of Biostatistics, University of Miami |

Favorite current quotes:

*"Just say no to p-hacking!"
*

*"We are drowning in data but starving for information"*

"

*All models are wrong, but some are useful*"

## Research Interests

Cancer Staging, Trees, Forests, Ensembles, Bayesian and Frequentist Variable Selection, Bioinformatics, High Dimensions, Nonparametric Bayes

## External Activities

Editor, Sankhya A, Sankhya B, 12-15

Deputy Statistical Editor, J. Thoracic and Cardiovascular Surgery

Associate Editor, JASA, Theory and Methods, 05-11

Associate Editor, Electronic Journal of Statistics, 07-13

Associate Editor, Statistics and Probability Letters, 07-10

Web Editor, Inst. of Mathematical Statistics, 03-05

## Brief Biography

PhD Statistics, Yale University, 1993

MSc Applied Statistics, Oxford University, 1988

BSc Mathematical Statistics, Univ. of Toronto, 1987

## Selected Recent Papers [Full List]

**
**Mantero A. and Ishwaran H. (2017). Unsupervised random forests.

Lu M., Blackstone E.H. and Ishwaran H. (2017). Treatment decision in ischemic cardiomyopathy: causal inference using random survival forests.

Lu M. and Ishwaran H. (2017). A machine learning alternative to p-values. arXiv:1701.04944

Pande A., Li L. Rajeswaran J., Ehrlinger J., Kogalur U.B., Blackstone E.H and Ishwaran H. (2017). Boosted multivariate trees for longitudinal data. Machine Learning, 106(2): 277-305. [pdf]

Lu M., Sadiq S., Feaster D.J. and Ishwaran H. (2017). Estimating individual treatment effect in observational data using random forest methods. To appear in J. Comp. Graph. Statist. arXiv:1701.05306

Tang F. and Ishwaran H. (2017). Random forest missing data algorithms. To appear in Stat. Anal. Data Mining. [pdf]

arXiv:1701.05305

Rice T.W., Kelsen D., Ishwaran H., Blackstone E.H. and Hofstetter W.L. (2016). Eighth Edition of the AJCC Cancer Staging Manual: Esophagus and esophagogastric junction, pp 185-202.

Ishwaran H. (2015). The effect of splitting on random forests. Machine Learning, 99, 75-118. [pdf]

Ishwaran H. and Malley J.D. (2014). Synthetic learning machines. BioData Mining, 7:28. [html] [pdf]

Ishwaran H., Gerds T.A., Kogalur U.B., Moore R.D., Gange S.J. and Lau B.M. (2014). Random survival forests for competing risks. Biostatistics, 15(4), 757-773. doi:10.1093/biostatistics/kxu010 [pdf]

Ehrlinger J. and Ishwaran H. (2012). Characterizing L_{2}Boosting. Ann. Statist, 40, 1074-1101. [pdf]

Chen X. and Ishwaran H. (2012). Random forests for genomic data analysis. Genomics, 99, 323-329. [pdf]

Ishwaran H., Kogalur U.B., Gorodeski E.Z., Minn A.J. and Lauer M.S. (2010). High-dimensional variable selection for survival data. J. Amer. Stat. Assoc, 105, 205-217. [pdf]

Ishwaran H., Blackstone E.H., Hansen. C.A. and Rice T.W. (2009). A novel approach to cancer staging: application to esophageal cancer. Biostatistics, 10, 603-620. [pdf]

Ishwaran H., Kogalur U.B., Blackstone E.H. and Lauer M.S. (2008). Random survival forests. Ann. Appl. Statist., 2, 841-860. [pdf]