| Year |
Citation |
Score |
| 2022 |
Cui E, Li R, Crainiceanu CM, Xiao L. Fast Multilevel Functional Principal Component Analysis. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 366-377. PMID 37313008 DOI: 10.1080/10618600.2022.2115500 |
0.666 |
|
| 2022 |
Li R, Xiao L, Smirnova E, Cui E, Leroux A, Crainiceanu CM. Fixed-effects inference and tests of correlation for longitudinal functional data. Statistics in Medicine. PMID 35491388 DOI: 10.1002/sim.9421 |
0.676 |
|
| 2021 |
Cui E, Leroux A, Smirnova E, Crainiceanu CM. Fast Univariate Inference for Longitudinal Functional Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 31: 219-230. PMID 35712524 DOI: 10.1080/10618600.2021.1950006 |
0.303 |
|
| 2021 |
Cui E, Crainiceanu CM, Leroux A. Additive Functional Cox Model. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 30: 780-793. PMID 34898969 DOI: 10.1080/10618600.2020.1853550 |
0.311 |
|
| 2020 |
Gaynanova I, Punjabi N, Crainiceanu C. Modeling continuous glucose monitoring (CGM) data during sleep. Biostatistics (Oxford, England). PMID 32443145 DOI: 10.1093/Biostatistics/Kxaa023 |
0.311 |
|
| 2020 |
Hu M, Crainiceanu C, Schindler MK, Dewey B, Reich DS, Shinohara RT, Eloyan A. Matrix decomposition for modeling lesion development processes in multiple sclerosis. Biostatistics (Oxford, England). PMID 32318692 DOI: 10.1093/Biostatistics/Kxaa016 |
0.326 |
|
| 2020 |
URBANEK JK, Karas M, Hsu M, Padmanabhan P, Crainiceanu C, Bastian A, Roemmich R. Computational Opportunities In The Estimation Of Free-living Temporal Gait Parameters From Wearable Accelerometry Data Medicine & Science in Sports & Exercise. 52: 531-531. DOI: 10.1249/01.Mss.0000679968.84010.Fd |
0.301 |
|
| 2019 |
Leroux A, Di J, Smirnova E, Mcguffey EJ, Cao Q, Bayatmokhtari E, Tabacu L, Zipunnikov V, Urbanek JK, Crainiceanu C. Organizing and analyzing the activity data in NHANES. Statistics in Biosciences. 11: 262-287. PMID 32047572 DOI: 10.1007/S12561-018-09229-9 |
0.351 |
|
| 2019 |
Karas M, Bai J, Strączkiewicz M, Harezlak J, Glynn NW, Harris T, Zipunnikov V, Crainiceanu C, Urbanek JK. Accelerometry data in health research: challenges and opportunities. Statistics in Biosciences. 11: 210-237. PMID 31762829 DOI: 10.1007/S12561-018-9227-2 |
0.32 |
|
| 2019 |
Karas M, Stra Czkiewicz M, Fadel W, Harezlak J, Crainiceanu CM, Urbanek JK. Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation. Biostatistics (Oxford, England). PMID 31545345 DOI: 10.1093/Biostatistics/Kxz033 |
0.353 |
|
| 2018 |
Grigsby MR, Di J, Leroux A, Zipunnikov V, Xiao L, Crainiceanu C, Checkley W. Novel metrics for growth model selection. Emerging Themes in Epidemiology. 15: 4. PMID 29483933 DOI: 10.1186/S12982-018-0072-Z |
0.669 |
|
| 2018 |
Xiao L, Li C, Checkley W, Crainiceanu C. Fast covariance estimation for sparse functional data. Statistics and Computing. 28: 511-522. PMID 29449762 DOI: 10.1007/S11222-017-9744-8 |
0.695 |
|
| 2018 |
Urbanek JK, Zipunnikov V, Harris TB, Fadel W, Glynn NW, Koster A, Caserotti P, Crainiceanu CM, Harezlak J. Prediction of sustained harmonic walking in the free-living environment using raw accelerometry data. Physiological Measurement. PMID 29329110 DOI: 10.1088/1361-6579/Aaa74D |
0.339 |
|
| 2017 |
Webb-Vargas Y, Chen S, Fisher A, Mejia A, Xu Y, Crainiceanu C, Caffo B, Lindquist MA. Big Data and Neuroimaging. Statistics in Biosciences. 9: 543-558. PMID 29335670 DOI: 10.1007/S12561-017-9195-Y |
0.331 |
|
| 2017 |
Urbanek JK, Spira AP, Di J, Leroux A, Crainiceanu C, Zipunnikov V. Epidemiology of objectively measured bedtime and chronotype in US adolescents and adults: NHANES 2003-2006. Chronobiology International. 1-19. PMID 29283283 DOI: 10.1080/07420528.2017.1411359 |
0.31 |
|
| 2017 |
Leroux A, Xiao L, Crainiceanu C, Checkley W. Dynamic prediction in functional concurrent regression with an application to child growth. Statistics in Medicine. PMID 29230836 DOI: 10.1002/Sim.7582 |
0.688 |
|
| 2017 |
Park SY, Staicu AM, Xiao L, Crainiceanu CM. Simple fixed-effects inference for complex functional models. Biostatistics (Oxford, England). PMID 29036541 DOI: 10.1093/Biostatistics/Kxx026 |
0.7 |
|
| 2017 |
Bai J, Sun Y, Schrack JA, Crainiceanu CM, Wang MC. A two-stage model for wearable device data. Biometrics. PMID 29023644 DOI: 10.1111/Biom.12781 |
0.346 |
|
| 2017 |
Chén OY, Crainiceanu C, Ogburn EL, Caffo BS, Wager TD, Lindquist MA. High-dimensional multivariate mediation with application to neuroimaging data. Biostatistics (Oxford, England). PMID 28637279 DOI: 10.1093/Biostatistics/Kxx027 |
0.328 |
|
| 2017 |
Carass A, Roy S, Jog A, Cuzzocreo JL, Magrath E, Gherman A, Button J, Nguyen J, Bazin PL, Calabresi PA, Crainiceanu CM, Ellingsen LM, Reich DS, Prince JL, Pham DL. Longitudinal multiple sclerosis lesion segmentation data resource. Data in Brief. 12: 346-350. PMID 28491937 DOI: 10.1016/J.Dib.2017.04.004 |
0.304 |
|
| 2017 |
Carass A, Roy S, Jog A, Cuzzocreo JL, Magrath E, Gherman A, Button J, Nguyen J, Prados F, Sudre CH, Jorge Cardoso M, Cawley N, Ciccarelli O, Wheeler-Kingshott CA, Ourselin S, ... ... Crainiceanu CM, et al. Longitudinal multiple sclerosis lesion segmentation: resource & challenge. Neuroimage. PMID 28087490 DOI: 10.1016/J.Neuroimage.2016.12.064 |
0.315 |
|
| 2017 |
Bai J, Di C, Xiao L, Evenson K, LaCroix A, Crainiceanu C, Buchner D. AN ACTIVITY INDEX FOR RAW ACCELEROMETRY DATA AND ITS APPLICATION IN OLDER ADULTS Innovation in Aging. 1: 1239-1239. DOI: 10.1093/Geroni/Igx004.4497 |
0.642 |
|
| 2017 |
Xiao L, Li C, Checkley W, Crainiceanu C. Erratum to: Fast covariance estimation for sparse functional data Statistics and Computing. 28: 523-523. DOI: 10.1007/S11222-017-9768-0 |
0.682 |
|
| 2016 |
Shou H, Shinohara RT, Liu H, Reich DS, Crainiceanu CM. Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 25: 570-588. PMID 30662249 DOI: 10.1080/10618600.2015.1023396 |
0.31 |
|
| 2016 |
Urbanek JK, Harezlak J, Glynn NW, Harris T, Crainiceanu C, Zipunnikov V. Stride variability measures derived from wrist- and hip-worn accelerometers. Gait & Posture. 52: 217-223. PMID 27936440 DOI: 10.1016/J.Gaitpost.2016.11.045 |
0.304 |
|
| 2016 |
Tudorascu DL, Karim HT, Maronge JM, Alhilali L, Fakhran S, Aizenstein HJ, Muschelli J, Crainiceanu CM. Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging Platforms. Frontiers in Neuroscience. 10: 503. PMID 27881948 DOI: 10.3389/Fnins.2016.00503 |
0.307 |
|
| 2016 |
Strączkiewicz M, Urbanek JK, Fadel WF, Crainiceanu CM, Harezlak J. Automatic car driving detection using raw accelerometry data. Physiological Measurement. 37: 1757-1769. PMID 27653528 DOI: 10.1093/Geroni/Igx004.4499 |
0.307 |
|
| 2016 |
Huang L, Reiss PT, Xiao L, Zipunnikov V, Lindquist MA, Crainiceanu CM. Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data. Biostatistics (Oxford, England). PMID 27578805 DOI: 10.1093/Biostatistics/Kxw040 |
0.69 |
|
| 2016 |
Bai J, Di C, Xiao L, Evenson KR, LaCroix AZ, Crainiceanu CM, Buchner DM. An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics. Plos One. 11: e0160644. PMID 27513333 DOI: 10.1371/Journal.Pone.0160644 |
0.667 |
|
| 2016 |
Schrack JA, Xiao L, Zipunnikov V, Simonsick EM, Studenski S, Crainiceanu C, Ferrucci L. Quantifying Longitudinal Patterns and Trends of Objectively Measured Physical Activity Across the Age Spectrum: 2104 Board #256 June 2, 2: 00 PM - 3: 30 PM. Medicine and Science in Sports and Exercise. 48: 592. PMID 27360929 DOI: 10.1249/01.mss.0000486777.20904.7a |
0.609 |
|
| 2016 |
Fortin JP, Sweeney EM, Muschelli J, Crainiceanu CM, Shinohara RT. Removing inter-subject technical variability in magnetic resonance imaging studies. Neuroimage. PMID 26923370 DOI: 10.1016/J.Neuroimage.2016.02.036 |
0.314 |
|
| 2016 |
Xiao L, Zipunnikov V, Ruppert D, Crainiceanu C. Fast Covariance Estimation for High-dimensional Functional Data. Statistics and Computing. 26: 409-421. PMID 26903705 DOI: 10.1007/S11222-014-9485-X |
0.743 |
|
| 2016 |
Sweeney EM, Shinohara RT, Dewey BE, Schindler MK, Muschelli J, Reich DS, Crainiceanu CM, Eloyan A. Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesions. Neuroimage. Clinical. 10: 1-17. PMID 26693397 DOI: 10.1016/J.Nicl.2015.10.013 |
0.317 |
|
| 2015 |
Ho V, Crainiceanu CM, Punjabi N, Redline S, Gottlieb DJ. Calibration Model for Apnea-Hypopneas Indices: Impact of Alternative Criteria for Hypopneas. Sleep. PMID 26564122 DOI: 10.5665/Sleep.5234 |
0.355 |
|
| 2015 |
Gellar JE, Colantuoni E, Needham DM, Crainiceanu CM. Cox Regression Models with Functional Covariates for Survival Data. Statistical Modelling. 15: 256-278. PMID 26441487 DOI: 10.1177/1471082X14565526 |
0.389 |
|
| 2015 |
Xiao L, He B, Koster A, Caserotti P, Lange-Maia B, Glynn NW, Harris TB, Crainiceanu CM. Movement prediction using accelerometers in a human population. Biometrics. PMID 26288278 DOI: 10.1111/Biom.12382 |
0.664 |
|
| 2015 |
Mejia AF, Nebel MB, Shou H, Crainiceanu CM, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA. Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. Neuroimage. 112: 14-29. PMID 25731998 DOI: 10.1016/J.Neuroimage.2015.02.042 |
0.35 |
|
| 2015 |
Xiao L, Huang L, Schrack JA, Ferrucci L, Zipunnikov V, Crainiceanu CM. Quantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach. Biostatistics (Oxford, England). 16: 352-67. PMID 25361695 DOI: 10.1093/Biostatistics/Kxu045 |
0.691 |
|
| 2015 |
Shou H, Zipunnikov V, Crainiceanu CM, Greven S. Structured functional principal component analysis. Biometrics. 71: 247-57. PMID 25327216 DOI: 10.1111/Biom.12236 |
0.412 |
|
| 2014 |
Zipunnikov V, Greven S, Shou H, Caffo B, Reich DS, Crainiceanu C. Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis. The Annals of Applied Statistics. 8: 2175-2202. PMID 25663955 DOI: 10.1214/14-Aoas748 |
0.332 |
|
| 2014 |
Gellar JE, Colantuoni E, Needham DM, Crainiceanu CM. Variable-Domain Functional Regression for Modeling ICU Data. Journal of the American Statistical Association. 109: 1425-1439. PMID 25663725 DOI: 10.1080/01621459.2014.940044 |
0.356 |
|
| 2014 |
Swihart BJ, Caffo BS, Crainiceanu CM. A unifying framework for marginalized random intercept models of correlated binary outcomes. International Statistical Review = Revue Internationale De Statistique. 82: 275-295. PMID 25342871 DOI: 10.1111/Insr.12035 |
0.37 |
|
| 2014 |
Shou H, Eloyan A, Nebel MB, Mejia A, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA, Crainiceanu CM. Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. Neuroimage. 102: 938-44. PMID 24879924 DOI: 10.1016/J.Neuroimage.2014.05.043 |
0.324 |
|
| 2014 |
Goldsmith J, Huang L, Crainiceanu CM. Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 23: 46-64. PMID 24729670 DOI: 10.1080/10618600.2012.743437 |
0.342 |
|
| 2014 |
Bai J, He B, Shou H, Zipunnikov V, Glass TA, Crainiceanu CM. Normalization and extraction of interpretable metrics from raw accelerometry data. Biostatistics (Oxford, England). 15: 102-16. PMID 23999141 DOI: 10.1093/Biostatistics/Kxt029 |
0.319 |
|
| 2014 |
Staicu AM, Li Y, Crainiceanu CM, Ruppert D. Likelihood ratio tests for dependent data with applications to longitudinal and functional data analysis Scandinavian Journal of Statistics. 41: 932-949. DOI: 10.1111/Sjos.12075 |
0.748 |
|
| 2014 |
Swihart BJ, Goldsmith J, Crainiceanu CM. Restricted likelihood ratio tests for functional effects in the functional linear model Technometrics. 56: 483-493. DOI: 10.1080/00401706.2013.863163 |
0.362 |
|
| 2013 |
Woodard DB, Crainiceanu C, Ruppert D. Hierarchical Adaptive Regression Kernels for Regression with Functional Predictors. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 22. PMID 24293988 DOI: 10.1080/10618600.2012.694765 |
0.595 |
|
| 2013 |
Jones BC, Nair G, Shea CD, Crainiceanu CM, Cortese IC, Reich DS. Quantification of multiple-sclerosis-related brain atrophy in two heterogeneous MRI datasets using mixed-effects modeling. Neuroimage. Clinical. 3: 171-9. PMID 24179861 DOI: 10.1016/J.Nicl.2013.08.001 |
0.334 |
|
| 2013 |
Shou H, Eloyan A, Lee S, Zipunnikov V, Crainiceanu AN, Nebel MB, Caffo B, Lindquist MA, Crainiceanu CM. Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2) Cognitive, Affective and Behavioral Neuroscience. 13: 714-724. PMID 24022791 DOI: 10.3758/S13415-013-0196-0 |
0.306 |
|
| 2013 |
Huang L, Goldsmith J, Reiss PT, Reich DS, Crainiceanu CM. Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes. Neuroimage. 83: 210-23. PMID 23792220 DOI: 10.1016/J.Neuroimage.2013.06.020 |
0.319 |
|
| 2013 |
Langrock R, Swihart BJ, Caffo BS, Punjabi NM, Crainiceanu CM. Combining hidden Markov models for comparing the dynamics of multiple sleep electroencephalograms. Statistics in Medicine. 32: 3342-56. PMID 23348835 DOI: 10.1002/Sim.5747 |
0.302 |
|
| 2013 |
Eloyan A, Crainiceanu CM, Caffo BS. Likelihood-based population independent component analysis. Biostatistics (Oxford, England). 14: 514-27. PMID 23314416 DOI: 10.1093/Biostatistics/Kxs055 |
0.356 |
|
| 2013 |
Gertheiss J, Goldsmith J, Crainiceanu C, Greven S. Longitudinal scalar-on-functions regression with application to tractography data. Biostatistics (Oxford, England). 14: 447-61. PMID 23292804 DOI: 10.1093/Biostatistics/Kxs051 |
0.389 |
|
| 2013 |
Goldsmith J, Greven S, Crainiceanu CM. Corrected confidence bands for functional data using principal components. Biometrics. 69: 41-51. PMID 23003003 DOI: 10.1111/J.1541-0420.2012.01808.X |
0.402 |
|
| 2013 |
Lauzon CB, Crainiceanu C, Caffo BC, Landman BA. Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX. Magnetic Resonance in Medicine. 69: 891-902. PMID 22611000 DOI: 10.1002/Mrm.24324 |
0.334 |
|
| 2013 |
Greven S, Crainiceanu CM. On likelihood ratio testing for penalized splines Asta Advances in Statistical Analysis. 97: 387-402. DOI: 10.1007/S10182-013-0214-0 |
0.318 |
|
| 2013 |
Altman NS, Balco G, Crainiceanu C, Gehrels WR, Qiu J, Staudenmayer J, Sullivan P. Statistical modeling of changes in relative sea level in Maine during the Holocene Era Environmetrics. 24: 298-305. DOI: 10.1002/Env.2209 |
0.543 |
|
| 2012 |
Bai J, Goldsmith J, Caffo B, Glass TA, Crainiceanu CM. Movelets: A dictionary of movement. Electronic Journal of Statistics. 6: 559-578. PMID 23293708 DOI: 10.1214/12-Ejs684 |
0.345 |
|
| 2012 |
De Beuf K, Pipelers P, Andriankaja M, Thas O, Inzé D, Crainiceanu C, Clement L. Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling). Bmc Bioinformatics. 13: 234. PMID 22974078 DOI: 10.1186/1471-2105-13-234 |
0.302 |
|
| 2012 |
Crainiceanu CM, Staicu AM, Ray S, Punjabi N. Bootstrap-based inference on the difference in the means of two correlated functional processes. Statistics in Medicine. 31: 3223-40. PMID 22855258 DOI: 10.1002/Sim.5439 |
0.334 |
|
| 2012 |
Goldsmith J, Crainiceanu CM, Caffo B, Reich D. Longitudinal Penalized Functional Regression for Cognitive Outcomes on Neuronal Tract Measurements. Journal of the Royal Statistical Society. Series C, Applied Statistics. 61: 453-469. PMID 22679339 DOI: 10.1111/J.1467-9876.2011.01031.X |
0.392 |
|
| 2012 |
Yang X, Lauzon CB, Crainiceanu C, Caffo B, Resnick SM, Landman BA. Biological parametric mapping accounting for random regressors with regression calibration and model II regression. Neuroimage. 62: 1761-8. PMID 22609453 DOI: 10.1016/J.Neuroimage.2012.05.020 |
0.382 |
|
| 2012 |
Clement L, De Beuf K, Thas O, Vuylsteke M, Irizarry RA, Crainiceanu CM. Fast wavelet based functional models for transcriptome analysis with tiling arrays. Statistical Applications in Genetics and Molecular Biology. 11: Article 4. PMID 22499683 DOI: 10.2202/1544-6115.1726 |
0.3 |
|
| 2012 |
Swihart BJ, Caffo BS, Crainiceanu CM, Punjabi NM. Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data. Statistics in Medicine. 31: 855-70. PMID 22241689 DOI: 10.1002/Sim.4457 |
0.363 |
|
| 2012 |
Staicu AM, Crainiceanu CM, Reich DS, Ruppert D. Modeling functional data with spatially heterogeneous shape characteristics. Biometrics. 68: 331-43. PMID 22050118 DOI: 10.1111/J.1541-0420.2011.01669.X |
0.608 |
|
| 2011 |
Zipunnikov V, Caffo B, Yousem DM, Davatzikos C, Schwartz BS, Crainiceanu C. Multilevel Functional Principal Component Analysis for High-Dimensional Data. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 20: 852-873. PMID 25960627 DOI: 10.1198/Jcgs.2011.10122 |
0.376 |
|
| 2011 |
Crainiceanu CM, Caffo BS, Luo S, Zipunnikov VM, Punjabi NM. Population Value Decomposition, a Framework for the Analysis of Image Populations. Journal of the American Statistical Association. 106. PMID 24415813 DOI: 10.1198/Jasa.2011.Ap10089 |
0.302 |
|
| 2011 |
Goldsmith J, Bobb J, Crainiceanu CM, Caffo B, Reich D. Penalized Functional Regression. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 20: 830-851. PMID 22368438 DOI: 10.1198/Jcgs.2010.10007 |
0.401 |
|
| 2011 |
Goldsmith J, Wand MP, Crainiceanu C. Functional regression via variational Bayes. Electronic Journal of Statistics. 5: 572-602. PMID 22163061 DOI: 10.1214/11-Ejs619 |
0.383 |
|
| 2011 |
Zipunnikov V, Caffo B, Yousem DM, Davatzikos C, Schwartz BS, Crainiceanu C. Functional principal component model for high-dimensional brain imaging. Neuroimage. 58: 772-84. PMID 21798354 DOI: 10.1016/J.Neuroimage.2011.05.085 |
0.326 |
|
| 2011 |
Goldsmith J, Caffo B, Crainiceanu C, Reich D, Du Y, Hendrix C. NONLINEAR TUBE-FITTING FOR THE ANALYSIS OF ANATOMICAL AND FUNCTIONAL STRUCTURES. The Annals of Applied Statistics. 5: 337-363. PMID 21709824 DOI: 10.1214/10-Aoas384 |
0.33 |
|
| 2011 |
Goldsmith J, Crainiceanu CM, Caffo BS, Reich DS. Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. Neuroimage. 57: 431-9. PMID 21554962 DOI: 10.1016/J.Neuroimage.2011.04.044 |
0.338 |
|
| 2010 |
Greven S, Crainiceanu C, Caffo B, Reich D. Longitudinal functional principal component analysis. Electronic Journal of Statistics. 4: 1022-1054. PMID 21743825 DOI: 10.1214/10-Ejs575 |
0.375 |
|
| 2010 |
Crainiceanu CM, Goldsmith AJ. Bayesian Functional Data Analysis Using WinBUGS. Journal of Statistical Software. 32. PMID 21743798 DOI: 10.18637/Jss.V032.I11 |
0.375 |
|
| 2010 |
Caffo BS, Crainiceanu CM, Verduzco G, Joel S, Mostofsky SH, Bassett SS, Pekar JJ. Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk. Neuroimage. 51: 1140-9. PMID 20227508 DOI: 10.1016/J.Neuroimage.2010.02.081 |
0.335 |
|
| 2010 |
Staicu AM, Crainiceanu CM, Carroll RJ. Fast methods for spatially correlated multilevel functional data. Biostatistics (Oxford, England). 11: 177-94. PMID 20089508 DOI: 10.1093/Biostatistics/Kxp058 |
0.389 |
|
| 2009 |
Cheng YJ, Crainiceanu CM. Cox Models With Smooth Functional Effect of Covariates Measured With Error. Journal of the American Statistical Association. 104: 1144-1154. PMID 21818167 DOI: 10.1198/Jasa.2009.Tm08160 |
0.362 |
|
| 2009 |
Crainiceanu CM, Staicu AM, Di CZ. Generalized Multilevel Functional Regression. Journal of the American Statistical Association. 104: 1550-1561. PMID 20625442 DOI: 10.1198/Jasa.2009.Tm08564 |
0.383 |
|
| 2009 |
Di CZ, Crainiceanu CM, Caffo BS, Punjabi NM. MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS. The Annals of Applied Statistics. 3: 458-488. PMID 20221415 DOI: 10.1214/08-Aoas206Supp |
0.333 |
|
| 2009 |
Crainiceanu CM, Caffo BS, Di CZ, Punjabi NM. Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep. Journal of the American Statistical Association. 104: 541-555. PMID 20057925 DOI: 10.1198/Jasa.2009.0020 |
0.31 |
|
| 2008 |
Dominici F, Wang C, Crainiceanu C, Parmigiani G. Model selection and health effect estimation in environmental epidemiology. Epidemiology (Cambridge, Mass.). 19: 558-60. PMID 18552590 DOI: 10.1097/Ede.0B013E31817307Dc |
0.348 |
|
| 2008 |
Greven S, Crainiceanu CM, Küchenhoff H, Peters A. Restricted Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models Journal of Computational and Graphical Statistics. 17: 870-891. DOI: 10.1198/106186008X386599 |
0.361 |
|
| 2008 |
Krivobokova T, Crainiceanu CM, Kauermann G. Fast Adaptive Penalized Splines Journal of Computational and Graphical Statistics. 17: 1-20. DOI: 10.1198/106186008X287328 |
0.368 |
|
| 2008 |
Crainiceanu CM, Diggle PJ, Rowlingson B. Bivariate Binomial Spatial Modeling ofLoa loaPrevalence in Tropical Africa Journal of the American Statistical Association. 103: 21-37. DOI: 10.1198/016214507000001409 |
0.32 |
|
| 2008 |
Crainiceanu CM, Dominici F, Parmigiani G. Adjustment uncertainty in effect estimation Biometrika. 95: 635-651. DOI: 10.1093/Biomet/Asn015 |
0.343 |
|
| 2007 |
Crainiceanu CM. Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches Journal of the American Statistical Association. 102: 761-761. DOI: 10.1198/Jasa.2007.S189 |
0.369 |
|
| 2007 |
Crainiceanu CM, Ruppert D, Carroll RJ, Joshi A, Goodner B. Spatially adaptive Bayesian penalized splines with heteroscedastic errors Journal of Computational and Graphical Statistics. 16: 265-288. DOI: 10.1198/106186007X208768 |
0.564 |
|
| 2007 |
Crainiceanu CM, Vogelsang TJ. Nonmonotonic power for tests of a mean shift in a time series Journal of Statistical Computation and Simulation. 77: 457-476. DOI: 10.1080/10629360600569394 |
0.32 |
|
| 2006 |
Gimenez O, Crainiceanu C, Barbraud C, Jenouvrier S, Morgan BJ. Semiparametric regression in capture-recapture modeling. Biometrics. 62: 691-8. PMID 16984309 DOI: 10.1111/J.1541-0420.2005.00514.X |
0.353 |
|
| 2005 |
Crainiceanu CM, Ruppert D, Wand MP. Bayesian analysis for penalized spline regression using WinBUGS Journal of Statistical Software. 14. DOI: 10.18637/Jss.V014.I14 |
0.579 |
|
| 2005 |
Crainiceanu C, Ruppert D, Claeskens G, Wand MP. Exact likelihood ratio tests for penalised splines Biometrika. 92: 91-103. DOI: 10.1093/Biomet/92.1.91 |
0.564 |
|
| 2004 |
Carroll RJ, Ruppert D, Crainiceanu CM, Tosteson TD, Karagas MR. Nonlinear and nonparametric regression and instrumental variables Journal of the American Statistical Association. 99: 736-750. DOI: 10.1198/016214504000001088 |
0.578 |
|
| 2004 |
Crainiceanu CM, Ruppert D. Likelihood ratio tests in linear mixed models with one variance component Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66: 165-185. DOI: 10.1111/J.1467-9868.2004.00438.X |
0.568 |
|
| 2004 |
Crainiceanu CM, Ruppert D. Likelihood ratio tests for goodness-of-fit of a nonlinear regression model Journal of Multivariate Analysis. 91: 35-52. DOI: 10.1016/J.Jmva.2004.04.008 |
0.572 |
|
| 2003 |
Van Schaik G, Schukken YH, Crainiceanu C, Muskens J, VanLeeuwen JA. Prevalence estimates for paratuberculosis adjusted for test variability using Bayesian analysis Preventive Veterinary Medicine. 60: 281-295. PMID 12941553 DOI: 10.1016/S0167-5877(03)00157-0 |
0.309 |
|
| 2003 |
Crainiceanu CM, Stedinger JR, Ruppert D, Behr CT. Modeling the U.S. national distribution of waterborne pathogen concentrations with application to Cryptosporidium parvum Water Resources Research. 39. DOI: 10.1029/2002Wr001664 |
0.551 |
|
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