Biblio
A Markov chain Monte Carlo algorithm for approximating exact conditional probabilities. Journal of Computational and Graphical Statistics. 10:730–745.
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2001. Empirical supremum rejection sampling. Biometrika. 89:745–754.
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2002. Monte Carlo conditional inference for log-linear and logistic models: a survey of current methodology. Statistical Methods in Medical Research. 12:109.
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2003. Ascent-Based Monte Carlo EM. Journal of the Royal Statistical Society, Series B. 67:235–252.
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2005. Exact Hypothesis Tests for Log-linear Models with exactLoglinTest. Journal of Statistical Software. 17:1–17.
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2006. A user-friendly tutorial on link-probit-normal models. The American Statistician. 60:139–145.
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2006. Are Brain Volumes based on Magnetic Resonance Imaging Mediators of the Associations of Cumulative Lead Dose with Cognitive Function? American Journal of Epidemiology. 167:429–437.
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2007. Flexible random intercept models for binary outcomes using mixtures of normals. Computational Statistics and Data Analysis, PMCID: PMC2031853. 51:5220–5235.
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2007. Likelihood Estimation of Conjugacy Relationships in Linear Models with Applications to High-Throughput Genomics. International Journal of Biostatistics, PMCID: PMC2827886. 5
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2008. An overview of observational sleep research with application to sleep stage transitioning. Chance, PMCID: PMC2800358. 22:10–15.
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2009. A novel approach to prediction of mild sleep disorders in a population-based sample: the Sleep Heart Health Study. Sleep, PMCID: PMC2982734. 33:1641–1648.
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2011. Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer’s disease risk. Neuroimage. 51:1140–1149.
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2010. An Overview of Observational Sleep Research with Application to Sleep State Transitioning. Chance. 22:10–15.
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2009. A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography. Journal of the American Statistical Association. 103:1470–1480.
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2008.