Center for Care Delivery and Outcomes Research
Siamak Norbaloochi, PhD (biostatistician) is working on Bayesian least biased inference rules providing a unified theory for most powerful testing and unbiased estimation. In addition to providing statistical support for Center projects, Dr. Noorbaloochi is also working on inferential procedures for left truncated right censored ordinal count data.
Check out a full publication list on Google Scholar.
Noorbaloochi, Siamak. Meeden, Glen. On Being Bayes and Unbiasedness. Sankhya A, (2017) pp 1-16. doi:10.1007/s13171-017-0097-3
Pourahmadi, Mohsen; Noorbaloochi, Siamak. Multivariate time series analysis of neuroscience data: some challenges and opportunities. Current opinion in neurobiology. (2016) 37, 12-16.
Nelson, David; Noorbaloochi, Siamak Splice plots for generalized linear models. Comm. Statist. Theory Methods 45 (2016), no. 12, 3524–3540.
Meeden, Glen; Noorbaloochi, Siamak Hypotheses testing as a fuzzy set estimation problem. Comm. Statist. Theory Methods 42 (2013), no. 10, 1806–1820.
Nelson, David; Noorbaloochi, Siamak Information preserving sufficient summaries for dimension reduction. J. Multivariate Anal. 115 (2013), 347–358. 62G99 (62B05 62H99)
Meeden, Glen; Noorbaloochi, Siamak. Ordered designs and Bayesian inference in survey sampling. Sankhya A. 72 (2010), no. 1, 119–135.
Noorbaloochi, Siamak; Nelson, David; Asgharian, Masoud. Balancing and elimination of nuisance variables. Int. J. Biostat. 6 (2010), no. 2, Art. 6, 22 pp.
Nelson, David; Noorbaloochi, Siamak, Dimension reduction summaries for balanced contrasts. J. Statist. Plann. Inference 139 (2009), no. 2, 617–628.
Noorbaloochi, Siamak; Nelson, David Conditionally specified models and dimension reduction in the exponential families. J. Multivariate Anal. 99 (2008), no. 8, 1574–1589.
VA RESEARCH TOPICS