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Items: 1 to 20 of 90

1.

Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation.

Karas M, Stra Czkiewicz M, Fadel W, Harezlak J, Crainiceanu CM, Urbanek JK.

Biostatistics. 2019 Sep 23. pii: kxz033. doi: 10.1093/biostatistics/kxz033. [Epub ahead of print]

PMID:
31545345
2.

Reporting of R2 Statistics for Mixed-Effects Regression Models.

Sotirchos ES, Fitzgerald KC, Crainiceanu CM.

JAMA Neurol. 2019 Apr 1;76(4):507. doi: 10.1001/jamaneurol.2018.4720. No abstract available.

PMID:
30715077
3.

The upstrap.

Crainiceanu CM, Crainiceanu A.

Biostatistics. 2018 Sep 25. doi: 10.1093/biostatistics/kxy054. [Epub ahead of print]

PMID:
30252026
4.

freesurfer: Connecting the Freesurfer software with R.

Muschelli J, Sweeney E, Crainiceanu CM.

F1000Res. 2018 May 16;7:599. doi: 10.12688/f1000research.14361.1. eCollection 2018.

5.

A practical guide to big data.

Smirnova E, Ivanescu A, Bai J, Crainiceanu CM.

Stat Probab Lett. 2018 May;136:25-29. doi: 10.1016/j.spl.2018.02.014. Epub 2018 Mar 1.

6.

Arsenic exposure, diabetes-related genes and diabetes prevalence in a general population from Spain.

Grau-Perez M, Navas-Acien A, Galan-Chilet I, Briongos-Figuero LS, Morchon-Simon D, Bermudez JD, Crainiceanu CM, de Marco G, Rentero-Garrido P, Garcia-Barrera T, Gomez-Ariza JL, Casasnovas JA, Martin-Escudero JC, Redon J, Chaves FJ, Tellez-Plaza M.

Environ Pollut. 2018 Apr;235:948-955. doi: 10.1016/j.envpol.2018.01.008. Epub 2018 Feb 21.

7.

Neuroconductor: an R platform for medical imaging analysis.

Muschelli J, Gherman A, Fortin JP, Avants B, Whitcher B, Clayden JD, Caffo BS, Crainiceanu CM.

Biostatistics. 2019 Apr 1;20(2):218-239. doi: 10.1093/biostatistics/kxx068.

PMID:
29325029
8.

Simple fixed-effects inference for complex functional models.

Park SY, Staicu AM, Xiao L, Crainiceanu CM.

Biostatistics. 2018 Apr 1;19(2):137-152. doi: 10.1093/biostatistics/kxx026.

9.

Declining exposures to lead and cadmium contribute to explaining the reduction of cardiovascular mortality in the US population, 1988-2004.

Ruiz-Hernandez A, Navas-Acien A, Pastor-Barriuso R, Crainiceanu CM, Redon J, Guallar E, Tellez-Plaza M.

Int J Epidemiol. 2017 Dec 1;46(6):1903-1912. doi: 10.1093/ije/dyx176.

10.

A two-stage model for wearable device data.

Bai J, Sun Y, Schrack JA, Crainiceanu CM, Wang MC.

Biometrics. 2018 Jun;74(2):744-752. doi: 10.1111/biom.12781. Epub 2017 Oct 10.

11.

Evidence of bias in randomized clinical trials of hepatitis C interferon therapies.

Tinè F, Attanasio M, Muggeo VMR, Crainiceanu CM.

Clin Trials. 2017 Oct;14(5):483-488. doi: 10.1177/1740774517715447. Epub 2017 Jul 1. Review.

PMID:
28670909
12.

Longitudinal multiple sclerosis lesion segmentation data resource.

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.

Data Brief. 2017 Apr 8;12:346-350. doi: 10.1016/j.dib.2017.04.004. eCollection 2017 Jun.

13.

PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT.

Muschelli J, Sweeney EM, Ullman NL, Vespa P, Hanley DF, Crainiceanu CM.

Neuroimage Clin. 2017 Feb 15;14:379-390. doi: 10.1016/j.nicl.2017.02.007. eCollection 2017.

14.

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

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 CAM, Ourselin S, Catanese L, Deshpande H, Maurel P, Commowick O, Barillot C, Tomas-Fernandez X, Warfield SK, Vaidya S, Chunduru A, Muthuganapathy R, Krishnamurthi G, Jesson A, Arbel T, Maier O, Handels H, Iheme LO, Unay D, Jain S, Sima DM, Smeets D, Ghafoorian M, Platel B, Birenbaum A, Greenspan H, Bazin PL, Calabresi PA, Crainiceanu CM, Ellingsen LM, Reich DS, Prince JL, Pham DL.

Neuroimage. 2017 Mar 1;148:77-102. doi: 10.1016/j.neuroimage.2016.12.064. Epub 2017 Jan 11.

15.

Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging Platforms.

Tudorascu DL, Karim HT, Maronge JM, Alhilali L, Fakhran S, Aizenstein HJ, Muschelli J, Crainiceanu CM.

Front Neurosci. 2016 Nov 9;10:503. eCollection 2016.

16.

Automatic car driving detection using raw accelerometry data.

Strączkiewicz M, Urbanek JK, Fadel WF, Crainiceanu CM, Harezlak J.

Physiol Meas. 2016 Oct;37(10):1757-1769. Epub 2016 Sep 21.

17.

Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data.

Huang L, Reiss PT, Xiao L, Zipunnikov V, Lindquist MA, Crainiceanu CM.

Biostatistics. 2017 Apr 1;18(2):214-229. doi: 10.1093/biostatistics/kxw040.

18.

An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics.

Bai J, Di C, Xiao L, Evenson KR, LaCroix AZ, Crainiceanu CM, Buchner DM.

PLoS One. 2016 Aug 11;11(8):e0160644. doi: 10.1371/journal.pone.0160644. eCollection 2016.

19.
20.

Removing inter-subject technical variability in magnetic resonance imaging studies.

Fortin JP, Sweeney EM, Muschelli J, Crainiceanu CM, Shinohara RT; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2016 May 15;132:198-212. doi: 10.1016/j.neuroimage.2016.02.036. Epub 2016 Feb 23.

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