메뉴 건너뛰기




Volumn 35, Issue 8, 2014, Pages 3569-3577

Are power calculations useful? A multicentre neuroimaging study

(14)  Suckling, John a,b,c   Henty, Julian a   Ecker, Christine d   Deoni, Sean C e   Lombardo, Michael V f   Baron Cohen, Simon c,f   Jezzard, Peter g   Barnes, Anna h   Chakrabarti, Bhismadev f,i   Ooi, Cinly a,b   Lai, Meng Chuan f   Williams, Steven C d   Murphy, Declan G M d   Bullmore, Edward a,b,c,j  


Author keywords

Multicentre; Neuroimaging; Power calculations

Indexed keywords

ADULT; ARTICLE; AUTISM; BRAIN MAPPING; BRAIN REGION; CALCULATION; CALIBRATION; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DATA ANALYSIS; DECISION MAKING; EFFECT SIZE; FEMALE; HUMAN; IMAGE ANALYSIS; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; MULTICENTER STUDY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; POWER CALCULATION; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SAMPLE SIZE; VOXEL BASED MORPHOMETRY; ADOLESCENT; CASE CONTROL STUDY; CLINICAL TRIAL; NONLINEAR SYSTEM; PATIENT SELECTION; PROCEDURES; SIGNAL PROCESSING; VALIDATION STUDY; YOUNG ADULT;

EID: 84903994724     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22465     Document Type: Article
Times cited : (14)

References (28)
  • 4
    • 35148865818 scopus 로고    scopus 로고
    • 1 with high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI)
    • 1 with high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI). J Magn Reson Imaging 26:1106-1111.
    • (2007) J Magn Reson Imaging , vol.26 , pp. 1106-1111
    • Deoni, S.C.L.1
  • 5
    • 40649083755 scopus 로고    scopus 로고
    • Standardized structural magnetic resonance imaging in multicentre studies using quantitative T-1 and T-2 imaging at 1.5 T
    • Deoni SCL, Williams SCR, Jezzard P, Suckling J, Murphy DGM, Jones DK (2008): Standardized structural magnetic resonance imaging in multicentre studies using quantitative T-1 and T-2 imaging at 1.5 T. Neuroimage 40:662-671.
    • (2008) Neuroimage , vol.40 , pp. 662-671
    • Deoni, S.C.L.1    Williams, S.C.R.2    Jezzard, P.3    Suckling, J.4    Murphy, D.G.M.5    Jones, D.K.6
  • 9
    • 84904020575 scopus 로고    scopus 로고
    • The abuse of power: The persuasive fallacy of power calculations for data analysis (vol. 55, p 10, 2001)
    • Hoenig JM, Heisey DM (2002): The abuse of power: The persuasive fallacy of power calculations for data analysis (vol. 55, p 10, 2001). J Speech Lang Hear Res 45:493-493.
    • (2002) J Speech Lang Hear Res , vol.45 , pp. 493-493
    • Hoenig, J.M.1    Heisey, D.M.2
  • 10
    • 0036425968 scopus 로고    scopus 로고
    • Improved optimization for the robust and accurate linear registration and motion correction of brain images
    • Jenkinson M, Bannister P, Brady M, Smith S (2002): Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17:825-841.
    • (2002) Neuroimage , vol.17 , pp. 825-841
    • Jenkinson, M.1    Bannister, P.2    Brady, M.3    Smith, S.4
  • 12
    • 0035640845 scopus 로고    scopus 로고
    • Some practical guidelines for effective sample size determination
    • Lenth RV (2001): Some practical guidelines for effective sample size determination. Am Stat 55:187-193.
    • (2001) Am Stat , vol.55 , pp. 187-193
    • Lenth, R.V.1
  • 13
    • 34548032852 scopus 로고    scopus 로고
    • Statistical power calculations
    • Lenth RV (2007): Statistical power calculations. J Anim Sci 85:E24-E29.
    • (2007) J Anim Sci , vol.85
    • Lenth, R.V.1
  • 14
    • 0027997172 scopus 로고
    • Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders
    • Lord C, Rutter M, Le Couteur A (1994): Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. J Autism Dev Disord 24:659-685.
    • (1994) J Autism Dev Disord , vol.24 , pp. 659-685
    • Lord, C.1    Rutter, M.2    Le Couteur, A.3
  • 15
    • 33748910620 scopus 로고    scopus 로고
    • Measurement of signal-to-noise and contrast-to-noise in the fBIRN Multicenter Imaging Study
    • Magnotta VA, Friedman L (2006): Measurement of signal-to-noise and contrast-to-noise in the fBIRN Multicenter Imaging Study. J Digit Imaging 19:140-147.
    • (2006) J Digit Imaging , vol.19 , pp. 140-147
    • Magnotta, V.A.1    Friedman, L.2
  • 16
    • 20744453354 scopus 로고    scopus 로고
    • Variance estimation in clinical studies with interim sample size re-estimation
    • Miller F (2005): Variance estimation in clinical studies with interim sample size re-estimation. Biometrics 61:355-361.
    • (2005) Biometrics , vol.61 , pp. 355-361
    • Miller, F.1
  • 18
  • 20
    • 0031987382 scopus 로고    scopus 로고
    • A nonparametric method for automatic correction of intensity nonuniformity in MRI data
    • Sled JG, Zijdenbos AP, Evans AC (1998): A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 17:87-97.
    • (1998) IEEE Trans Med Imaging , vol.17 , pp. 87-97
    • Sled, J.G.1    Zijdenbos, A.P.2    Evans, A.C.3
  • 21
    • 0036828879 scopus 로고    scopus 로고
    • Fast robust automated brain extraction
    • Smith SM (2002): Fast robust automated brain extraction. Hum Brain Mapp 17:143-155.
    • (2002) Hum Brain Mapp , vol.17 , pp. 143-155
    • Smith, S.M.1
  • 24
    • 33646564733 scopus 로고    scopus 로고
    • Variable precision registration via wavelets: Optimal spatial scales for inter-subject registration of functional MRI
    • Suckling J, Long C, Triantafyllou C, Brammer M, Bullmore E (2006): Variable precision registration via wavelets: Optimal spatial scales for inter-subject registration of functional MRI. Neuroimage 31:197-208.
    • (2006) Neuroimage , vol.31 , pp. 197-208
    • Suckling, J.1    Long, C.2    Triantafyllou, C.3    Brammer, M.4    Bullmore, E.5
  • 26
  • 27
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    • Zhang YY, Brady M, Smith S (2001): Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 20:45-57.
    • (2001) IEEE Trans Med Imaging , vol.20 , pp. 45-57
    • Zhang, Y.Y.1    Brady, M.2    Smith, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.