Hemant Ishwaran

Research Interests

Data mining, Ensembles, Forests, High dimensional variable selection and prediction, 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

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

Brief Biography

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

Some Recent Papers

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

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

Weichselbaum R.R., Ishwaran H., Yoon T., Nuyten D.S.A., Baker, S.W., Khodarev N., 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. (2008). An interferon-related gene signature for DNA damage resistance is a predictive marker for chemotherapy and radiation for breast cancer. PNAS (Medical Sciences), 105(47) 18490-18495. pdf

Ishwaran H. and Rao J.S. (2008). Clustering gene expression profile data by selective shrinkage. Stat. Prob. Letters, 78, 1490-1497. 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

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

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

Version 3.0 just released!

randomSurvivalForest current release: 3.5.1

R package for random survival forests. Prediction and variable selection for right censored survival data pdf

3.0.x : Adaptive tree data imputation.

3.2.x: Joint VIMP (variable importance) for groups of variables.

3.5.x (just released!): Fit factors with unlimited levels. Fast random splitting rules. Runs on 64-bit R.

The R project
The R graph gallery