Ten years of statistical consulting experience for clients in the legal, environmental, social, and medical fields. Strong background in predictive modeling, datamining, statistical computing, and protocol review. Expertise in helping clients define and quantify their questions, identify data sources, and find statistically valid answers.
CV and references available on request.
Stanford, D.C., Clarkson, D.B., and Hoering, A. "Clustering or Automatic Class Discovery: Hierarchical Methods" In A Practical Approach to Microarray Data Analysis (D. Berrar, W. Dubitzky, and M. Granzow, eds.), Kluwer Academic Publishers, 2003.
Stanford, D.C., and Raftery, A.E. "Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)" IEEE Trans. on Pattern Analysis and Machine Intelligence, 24, 1517-1520, 2002.
Stanford, D.C. and Raftery, A.E. "Principal Curve Clustering with Noise." IEEE Trans. on Pattern Analysis and Machine Intelligence, 22, 601-609, 2000.
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