Hemant Ishwaran

Research Interests

Cancer staging, Forests, Bayesian and frequentist variable 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

External Activities

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

Some Recent Papers

Ishwaran H., Kogalur U.B., Chen X. and Minn A.J. (2010). Random survival forests for high-dimensional data. Submitted.

Ishwaran H. and Rao J.S. (2010). Generalized ridge regression: geometry and computational solutions when p is larger than n. Submitted.

Ishwaran H., Kogalur U.B., Gorodeski E.Z., Minn A.J. and Lauer M.S. (2009). High-dimensional variable selection for survival data. J. Amer. Stat. Assoc. (in press).

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., James L.F. and Zarepour M. (2009). An alternative to the m out of n bootstrap. J. Stat. Plann. Inference, 139, 788-801. pdf

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

BAMarray (3.0)

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

randomSurvivalForest (3.6.1 just released!)

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

3.0.x : Adaptive tree data imputation.

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

3.5.x : Fit factors with unlimited levels. Fast random splitting rules. Runs on 64-bit R.

3.6.0: Competing risks. Automatic variable selection; includes p bigger than n scenario. GUI for visualizing forests.

spikeslab

R package for implementing spike and slab regression for high dimensional variable selection in regression models. Coming soon!