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Volumn 5, Issue 1, 2018, Pages

Step away from stepwise

Author keywords

Big Data; Data mining; Stepwise regression

Indexed keywords

BIG DATA; REGRESSION ANALYSIS;

EID: 85053235652     PISSN: None     EISSN: 21961115     Source Type: Journal    
DOI: 10.1186/s40537-018-0143-6     Document Type: Article
Times cited : (384)

References (44)
  • 1
  • 2
    • 0007267360 scopus 로고
    • Why won’t stepwise methods die?
    • Thompson B. Why won’t stepwise methods die? Meas Eval Couns Dev. 1989;21(4):146–8
    • (1989) Meas Eval Couns Dev , vol.21 , Issue.4 , pp. 146-148
    • Thompson, B.1
  • 3
    • 0001159321 scopus 로고
    • The impact of model selection on inference in linear regression
    • Hurvich CM, Tsai CL. The impact of model selection on inference in linear regression. Am Stat. 1990;44(3):214–7
    • (1990) Am Stat , vol.44 , Issue.3 , pp. 214-217
    • Hurvich, C.M.1    Tsai, C.L.2
  • 6
    • 2442695245 scopus 로고    scopus 로고
    • What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models
    • Babyak MA. What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models. Psychosom Med. 2004;66:411–21
    • (2004) Psychosom Med , vol.66 , pp. 411-421
    • Babyak, M.A.1
  • 9
    • 84888059665 scopus 로고    scopus 로고
    • Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use
    • Flom PL, Cassell DL. Stopping stepwise: why stepwise and similar selection methods are bad, and what you should use. In: NESUG 2007 proceedings. 2007
    • (2007) NESUG 2007 Proceedings
    • Flom, P.L.1    Cassell, D.L.2
  • 10
    • 84973777204 scopus 로고
    • Stepwise regression and stepwise discriminant analysis need not apply here: a guidelines editorial
    • Thompson B. Stepwise regression and stepwise discriminant analysis need not apply here: a guidelines editorial. Educ Psychol Meas. 1995;55:525–34
    • (1995) Educ Psychol Meas , vol.55 , pp. 525-534
    • Thompson, B.1
  • 12
    • 0002441724 scopus 로고
    • Problems with stepwise methods—better alternatives
    • Thompson B, (ed), JAI Press, Greenwich
    • Huberty CJ. Problems with stepwise methods—better alternatives. In: Thompson B, editor. Advances in social science methodology, vol. 1. Greenwich: JAI Press; 1989
    • (1989) Advances in social science methodology , vol.1
    • Huberty, C.J.1
  • 14
    • 73449083353 scopus 로고    scopus 로고
    • Variable selection: current practice in epidemiological studies
    • Walter S, Tiemeier H. Variable selection: current practice in epidemiological studies. Eur J Epidemiol. 2009;24(12):733–6
    • (2009) Eur J Epidemiol , vol.24 , Issue.12 , pp. 733-736
    • Walter, S.1    Tiemeier, H.2
  • 15
    • 77957149553 scopus 로고    scopus 로고
    • A survey of variable selection methods in two Chinese epidemiology journals
    • Liao H, Lynn HS. A survey of variable selection methods in two Chinese epidemiology journals. BMC Med Res Methodol. 2010;10:87. 10.1186/1471-2288-10-87
    • (2010) BMC Med Res Methodol , vol.10 , pp. 87
    • Liao, H.1    Lynn, H.S.2
  • 21
    • 0002283033 scopus 로고    scopus 로고
    • From data mining to knowledge discovery in databases
    • Fayyad U, Piatetsky-Shapiro G, Smyth P. From data mining to knowledge discovery in databases. AI Mag. 1996;17(3):37–54
    • (1996) AI Mag , vol.17 , Issue.3 , pp. 37-54
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 22
    • 85053282767 scopus 로고    scopus 로고
    • Foreword
    • Cios KJ, Pedrycz W, Swiniarski RW, Kurgan LA, (eds), Springer, New York
    • Kecman V. Foreword. In: Cios KJ, Pedrycz W, Swiniarski RW, Kurgan LA, editors. Data mining: a knowledge discovery approach. New York: Springer; 2007
    • (2007) Data mining: a knowledge discovery approach
    • Kecman, V.1
  • 24
    • 0002958315 scopus 로고
    • Knowledge discovery in real databases: a report on the IJCAI-89 workshop
    • Piatetsky-Shapiro G. Knowledge discovery in real databases: a report on the IJCAI-89 workshop. AI Mag. 1991;11(5):68–70
    • (1991) AI Mag , vol.11 , Issue.5 , pp. 68-70
    • Piatetsky-Shapiro, G.1
  • 27
    • 85015581756 scopus 로고    scopus 로고
    • A comment on Daniel Klein’s “A plea to economists who favor liberty
    • Tullock G. A comment on Daniel Klein’s “A plea to economists who favor liberty”. East Econ J. 2001;27(2):203–7
    • (2001) East Econ J , vol.27 , Issue.2 , pp. 203-207
    • Tullock, G.1
  • 31
    • 84903161818 scopus 로고    scopus 로고
    • Big data: new tricks for econometrics
    • Varian HR. Big data: new tricks for econometrics. J Econ Perspect. 2014;28(2):3–27
    • (2014) J Econ Perspect , vol.28 , Issue.2 , pp. 3-27
    • Varian, H.R.1
  • 33
    • 84960126500 scopus 로고    scopus 로고
    • The deluge of spurious correlations in big data
    • Calude CS, Longo G. The deluge of spurious correlations in big data. Found Sci. 2016. 10.1007/s10699-016-9489-4
    • (2016) Found Sci
    • Calude, C.S.1    Longo, G.2
  • 34
    • 0033213971 scopus 로고    scopus 로고
    • Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis
    • Steyerberg EW, Eijkemans MJC, Habbema JDF. Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis. J Clin Epidemiol. 1999;52(10):935–42
    • (1999) J Clin Epidemiol , vol.52 , Issue.10 , pp. 935-942
    • Steyerberg, E.W.1    Eijkemans, M.J.C.2    Habbema, J.D.F.3
  • 35
    • 85004844353 scopus 로고
    • Backward, forward and stepwise automated subset selection algorithms: frequency of obtaining authentic and noise variables
    • Derksen S, Keselman HJ. Backward, forward and stepwise automated subset selection algorithms: frequency of obtaining authentic and noise variables. Br J Math Stat Psychol. 1992;45(2):265–82
    • (1992) Br J Math Stat Psychol , vol.45 , Issue.2 , pp. 265-282
    • Derksen, S.1    Keselman, H.J.2
  • 36
    • 84947389475 scopus 로고
    • The development of numerical credit evaluation systems
    • Mayers JH, Forgy EW. The development of numerical credit evaluation systems. J Am Stat Assoc. 1963;58(303):799–806
    • (1963) J Am Stat Assoc , vol.58 , Issue.303 , pp. 799-806
    • Mayers, J.H.1    Forgy, E.W.2
  • 37
    • 0002156597 scopus 로고    scopus 로고
    • Multiple regression analysis and mass assessment: a review of the issues
    • Mark J, Goldberg MA. Multiple regression analysis and mass assessment: a review of the issues. Apprais J. 2001;56:89–109
    • (2001) Apprais J , vol.56 , pp. 89-109
    • Mark, J.1    Goldberg, M.A.2
  • 38
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyan I, Weston J, Barnhill S, Vopnik V. Gene selection for cancer classification using support vector machines. Mach Learn. 2002;46:389–422
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyan, I.1    Weston, J.2    Barnhill, S.3    Vopnik, V.4
  • 44
    • 84947678943 scopus 로고
    • A critique of some ridge regression methods
    • Smith G, Campbell F. A critique of some ridge regression methods. J Am Stat Assoc. 1980;75(369):74–81
    • (1980) J Am Stat Assoc , vol.75 , Issue.369 , pp. 74-81
    • Smith, G.1    Campbell, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.