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Conference Paper

Kneib T, Brezger A, Crainiceanu C. 2010. Generalized Semiparametric Regression with Covariates Measured with Error. Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir. :133–154.

Crainiceanu C, Ruppert D, Stedinger JR, Behr CT. 2002. Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies. Case Studies in Bayesian Statistics, Volume V (Lecture Notes in Statistics Vol. 162). :207–221.

Journal Article

Scharfstein D, Ryea J, Caffo B. 2008. Accounting for within-patient correlation in assessing relative sensitivity of an adjunctive diagnostic test: Application to lung cancer. Statistics in Medicine. 27:2110–2126.

Bai J, Di C, Xiao L, Evenson KR, LaCroix AZ, Crainiceanu CM, Buchner DM. 2016. An activity index for raw accelerometry data and its comparison with other activity metrics. PloS ONE. 11:e0160644.

Leigh R, Oishi K, Hsu J, Lindquist M, Gottesman RF, Jarso S, Crainiceanu C, Mori S, Hillis AE. 2013. Acute lesions that impair affective empathy.. Brain. 136(Pt 8):2539-49.

Chen S, Wang C, Eberly L, Caffo B, Schwartz B. 2009. Adaptive control of the false discovery rate in voxel-based morphometry. Human Brain Mapping, NIHMSID: 316414. 30:2304–2311.

Crainiceanu C, Dominici F, Parmigiani G. 2008. Adjustment Uncertainty in Effect Estimation. Biometrika. 95:635–651.

Li S, Eloyan A, Joel S, Mostofsky S, Pekar J, Bassett SSpear, Caffo B. 2012. Analysis of group ICA-based connectivity measures from fMRI: application to Alzheimer's disease.. PLoS One. 7(11):e49340.

Luo S, Crainiceanu C, Louis TA, Chatterjee N. 2008. Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State. Journal of the American Statistical Association. 103:1002–1013.

De Beuf K, Pipelers P, Andriankaja M, Thas O, Inzé D, Crainiceanu C, Clement L. 2012. Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling.. BMC Bioinformatics. 13(1):234.

Eloyan A, Li S, Muschelli J, Pekar JJ, Mostofsky SH, Caffo BS. 2014. Analytic programming with FMRI data: a quick-start guide for statisticians using R.. PLoS One. 9(2):e89470.

Caffo B, Chen S, Stewart W, Bolla K, Yousem D, Davatzikos C, Schwartz B. 2007. 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.

Gribble MO, Howard BV, Umans JG, Shara NM, Francesconi KA, Goessler W, Crainiceanu CM, Silbergeld EK, Guallar E, Navas-Acien A. 2012. Arsenic exposure, diabetes prevalence, and diabetes control in the Strong Heart Study.. Am J Epidemiol. 176(10):865-74.

Caffo B, Jank W, Jones G. 2005. Ascent-Based Monte Carlo EM. Journal of the Royal Statistical Society, Series B. 67:235–252.

Krauss G, Caffo B, Chang Y, Hendrix C, Chuang K. 2011. Assessing bioequivalence of generic antiepilepsy drugs. Annals of Neurology, NIHMSID: 286919. 70:221–228.

Schrack JA, Zipunnikov V, Goldsmith J, Bai J, Simonsick EM, Crainiceanu C, Ferrucci L. 2014. Assessing the "physical cliff": detailed quantification of age-related differences in daily patterns of physical activity.. J Gerontol A Biol Sci Med Sci. 69(8):973-9.

Lauzon C, Asman AJ, Crainiceanu C, Caffo B, Landman B. 2011. Assessment of bias for MRI diffusion tensor imaging using SIMEX. Med Image Comput Comput Assist Interv. 14:107–115.

Lauzon C, Crainiceanu C, Caffo B, Landman B. 2012. Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX. Accepted in Magnetic Resonance in Medicine.

Sweeney EM, Shinohara R, Shea CD, Reich DS, Crainiceanu C. 2012. Automatic Lesion Incidence Estimation and Detection in Multiple Sclerosis Using Multisequence Longitudinal MRI.. AJNR Am J Neuroradiol.

Ozturk A, Aygun N, Smith SA, Caffo B, Calabresi PA, Reich DS. 2013. Axial 3D gradient-echo imaging for improved multiple sclerosis lesion detection in the cervical spinal cord at 3T.. Neuroradiology. 55(4):431-9.

Mishchenko Y, Vogelstein JT, Paninski L. 2009. A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data. Annals of Applied Statistics. in press

Crainiceanu C, Goldsmith J. 2010. Bayesian Functional Data Analysis Using WinBUGS. J Stat Softw. 32

Bowman F, Caffo B, Bassett S, Kilts C. 2008. A Bayesian hierarchical framework for spatial modeling of fMRI data. NeuroImage, PMCID: PMC2134321. 39:146–156.

Choi L, Caffo B, Kohli U, Pandharipande P, Kurnik D, Ely E, Stein C. 2011. A Bayesian hierarchical nonlinear mixture model in the presence of artifactual outliers in a population pharmacokinetic study. Journal of Pharmacokinetics and Pharmacodynamics. 38:613-636.

Luo S, Crainiceanu C, Louis TA, Chatterjee N. 2009. Bayesian Inference for Smoking Cessation with a Latent Cure State. Biometrics. 65:970–978.

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