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Volumn 24, Issue 7, 2002, Pages 815-829

A comparison of imputation techniques for handling Missing data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CLINICAL NURSING RESEARCH; COMPARATIVE STUDY; HUMAN; INFORMATION PROCESSING; METHODOLOGY; REGRESSION ANALYSIS; STATISTICS;

EID: 0036834375     PISSN: 01939459     EISSN: None     Source Type: Journal    
DOI: 10.1177/019394502762477004     Document Type: Article
Times cited : (207)

References (28)
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    • Hedderley, D., & Wakeling, I. (1995). A comparison of imputation techniques for internal preference mapping using Monte Carlo simulation. Food Quality and Preference, 6, 281-297.
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    • Kimberlin, C., Pendergast, J. F., Berardo, H. B., & McKenzie, L. C. (1998). Issues related to using a short form of the Center for Epidemiological Studies-Depression Scale. Psychological Reports, 83, 411-421.
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    • Kimberlin, C.1    Pendergast, J.F.2    Berardo, H.B.3    McKenzie, L.C.4
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    • An empirical evaluation of the predictive mean matching method for imputing missing values
    • Landerman, L., Land, K., & Pieper, C. (1997). An empirical evaluation of the predictive mean matching method for imputing missing values. Sociological Methods and Research, 26, 3-33.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.