Hemant Ishwaran

Research Interests

Data mining, Ensembles and trees, High dimensional variable and model selection, High throughput genomic data, Mixture models, Nonparametric Bayes

Staff, Dept. of Quantitative Health Sciences, Cleveland Clinic

Adjunct Professor, Dept. of Statistics, Case Western Reserve University

Brief Biography

PhD Statistics, Yale University, 1993
MSc Applied Statistics, Oxford University, 1988
BSc Mathematical Statistics, Univ. of Toronto, 1987

External Activities

Associate Editor, JASA, Theory and Methods, 05-08, 08-11
Associate Editor, Electronic Journal of Statistics, 07+
Associate Editor, Statistics and Probability Letters, 07-10
Web Editor, Inst. of Mathematical Statistics, 03-05

Some Recent Papers

Ishwaran H., Blackstone, E.H., Hansen. C.A. and Rice T.W. (2008). A novel data driven approach to stage grouping of esophageal cancer. Submitted.

Ishwaran H., Kogalur U.B., Blackstone, E.H. and Lauer M.S. (2008). Random survival forests. To appear in Ann. Appl. Statist.

Ishwaran H. and Rao J.S. (2008). Clustering gene expression profile data by selective shrinkage. To appear in Stat. Prob. Letters. pdf

Ishwaran, H. (2007). Variable importance in binary regression trees and forests. Electronic J. Statist., 1, 519-537.

Minn A.J., Gupta P.G., Padua D., Bos P., Nguyen D.X. Nuyten D., Kreike B., Zhang Y., Wang Y., Ishwaran H., Foekens J.A., van de Vijver M.J. and Massagué J. (2007). Lung metastasis genes couple breast tumor size and metastatic spread. PNAS (Genetics), 104 (16) 6740-6745. pdf

Weichselbaum R.R., Ishwaran H., Khodarev N., Nuyten D.S.A., Baker, S.W.,Yoon T., Su A.W., Shaikh, A.Y., Roach P., Kreike B., Roizman B., Bergh, J., Pawitan, Y., van de Vijver M.J. and Minn A.J. (2007). A gene signature for DNA damage resistance is a predictive marker for adjuvant chemotherapy and complements genomic classifiers for breast cancer. Submitted.

Ishwaran, H., Rao, J.S. and Kogalur U.B. (2006). BAMarray™: Java software for Bayesian analysis of variance for microarray data. BMC Bioinformatics, 7:59.

Ishwaran, H. and Rao, J.S. (2005). Spike and slab gene selection for multigroup microarray data. J. Amer. Stat. Assoc., 100, 764-780. pdf

Ishwaran, H. and Rao, J.S. (2005). Spike and slab variable selection: frequentist and Bayesian strategies. Ann. of Stat., 33, 730-773. pdf

Computing

Altix - our new super computer for 64-bit parallel processing

Students

BAMarray 2.0

Java software for microarray data. Implements Bayesian Analysis of Variance for Microarrays (BAM)

randomSurvivalForest current release: 3.2.3

R package for random survival forests. Random forest of survival trees for prediction and variable selection for right censored survival data. Vignette pdf

3.0.x : Imputes missing data using adaptive tree imputation. Applies to training and test data.

3.2.x (new!): Missing data algorithm can be iterated. Added functionality in the form of joint VIMP for finding interactions between groups of variables. New fast splitting rules.

The R project
The R graph gallery