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Volumn 20, Issue 6, 2006, Pages 273-276

Handling missing data: A commonly encountered problem in quantitative research

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE; COMPUTER PROGRAM; EPIDEMIOLOGY; HUMAN; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; METHODOLOGY; NURSING RESEARCH; REGRESSION ANALYSIS; REVIEW; SAMPLE SIZE; STANDARD; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 33845477049     PISSN: 08876274     EISSN: 15389782     Source Type: Journal    
DOI: 10.1097/00002800-200611000-00005     Document Type: Article
Times cited : (16)

References (12)
  • 2
    • 27644540561 scopus 로고    scopus 로고
    • Data cleaning: Detecting, diagnosing, and editing data abnormalities
    • Available at Accessed August 15, 2006
    • Van den Broeck J, Cunningham S, Eeckels R, Herbst R. Data cleaning: Detecting, diagnosing, and editing data abnormalities. PLoS Med. 2005;2(10):e267. Available at: www.plosmedicine.org. Accessed August 15, 2006.
    • (2005) PLoS Med , vol.2 , Issue.10
    • Van Den Broeck, J.1    Cunningham, S.2    Eeckels, R.3    Herbst, R.4
  • 4
  • 8
    • 0004093524 scopus 로고    scopus 로고
    • Thousand Oaks, Calif: Sage
    • Allison P. Missing Data. Thousand Oaks, Calif: Sage; 2001.
    • (2001) Missing Data
    • Allison, P.1
  • 9
    • 33845485525 scopus 로고    scopus 로고
    • Handling missing data in nursing research with multiple imputation
    • Kneipp S, McIntosh M. Handling missing data in nursing research with multiple imputation. Res Nurs Health. 2001;18:465-469.
    • (2001) Res Nurs Health , vol.18 , pp. 465-469
    • Kneipp, S.1    McIntosh, M.2
  • 10
    • 0036479629 scopus 로고    scopus 로고
    • Multiple imputation for missing data
    • Patrician P. Multiple imputation for missing data. Res Nurs Health. 2002;25:76-84.
    • (2002) Res Nurs Health , vol.25 , pp. 76-84
    • Patrician, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.