메뉴 건너뛰기




Volumn 15, Issue 1, 2015, Pages

Simulation-based estimation of mean and standard deviation for meta-analysis via Approximate Bayesian Computation (ABC)

Author keywords

Approximate Bayesian Computation (ABC); Meta analysis; Sample mean; Sample standard deviation

Indexed keywords

ALGORITHM; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; HUMAN; MEDICAL RESEARCH; META ANALYSIS (TOPIC); OUTCOME ASSESSMENT; PROCEDURES; REPRODUCIBILITY; STATISTICAL ANALYSIS;

EID: 84938920273     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/s12874-015-0055-5     Document Type: Article
Times cited : (39)

References (8)
  • 1
    • 33645024310 scopus 로고    scopus 로고
    • A systematic review identifies a lack of standardization in methods for handling missing variance data
    • Wiebe N, Vandermeer B, Platt RW, Klassen TP, Moher D, Barrowman NJ. A systematic review identifies a lack of standardization in methods for handling missing variance data. J Clin Epidemiol. 2006;95:342-53.
    • (2006) J Clin Epidemiol , vol.95 , pp. 342-353
    • Wiebe, N.1    Vandermeer, B.2    Platt, R.W.3    Klassen, T.P.4    Moher, D.5    Barrowman, N.J.6
  • 2
    • 21544449115 scopus 로고    scopus 로고
    • Estimating the mean and variance from the median, range, and the size of a sample
    • 1097734 15840177
    • Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol. 2005;5:13.
    • (2005) BMC Med Res Methodol , vol.5 , pp. 13
    • Hozo, S.P.1    Djulbegovic, B.2    Hozo, I.3
  • 3
    • 84938941076 scopus 로고    scopus 로고
    • Estimating the mean and variance from the sample size, three quartiles, minimum, and maximum
    • Bland M. Estimating the mean and variance from the sample size, three quartiles, minimum, and maximum. Int J of Stat in Med Res. 2015;4:57-64.
    • (2015) Int J of Stat in Med Res , vol.4 , pp. 57-64
    • Bland, M.1
  • 4
    • 84926434654 scopus 로고    scopus 로고
    • Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range
    • 4383202 25524443
    • Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135.
    • (2014) BMC Med Res Methodol , vol.14 , pp. 135
    • Wan, X.1    Wang, W.2    Liu, J.3    Tong, T.4
  • 5
    • 0031014291 scopus 로고    scopus 로고
    • Inferring coalescence times from DNA sequence data
    • 1207814 9071603
    • Tavaré S, Balding D, Griffith R, Donnelly P. Inferring coalescence times from DNA sequence data. Genetics. 1997;145(2):505-18.
    • (1997) Genetics , vol.145 , Issue.2 , pp. 505-518
    • Tavaré, S.1    Balding, D.2    Griffith, R.3    Donnelly, P.4
  • 7
    • 0346734143 scopus 로고    scopus 로고
    • Markov chain Monte Carlo without likelihoods
    • 1:CAS:528:DC%2BD2cXhtVektw%3D%3D 307566 14663152
    • Marjoram P, Molitor J, Plagnol V, Tavaré S. Markov chain Monte Carlo without likelihoods. Proc Natl Acad Sci U S A. 2003;100:15324-8.
    • (2003) Proc Natl Acad Sci U S A , vol.100 , pp. 15324-15328
    • Marjoram, P.1    Molitor, J.2    Plagnol, V.3    Tavaré, S.4
  • 8
    • 84862188059 scopus 로고    scopus 로고
    • Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection
    • 1:CAS:528:DC%2BC38Xot1aqt7w%3D 22555461
    • Toni T, Ozaki YI, Kirk P, Kuroda S, Stumpf MPH. Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection. Mol Biosyst. 2012;8:1921-9.
    • (2012) Mol Biosyst , vol.8 , pp. 1921-1929
    • Toni, T.1    Ozaki, Y.I.2    Kirk, P.3    Kuroda, S.4    Stumpf, M.P.H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.