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Handling missing data, skewness, and outliers in medical research: A robust factor analysis approach using the canonical fundamental skew- ... distribution.

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Title: Handling missing data, skewness, and outliers in medical research: A robust factor analysis approach using the canonical fundamental skew- ... distribution.
Authors: Wang WL; Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, Taiwan., Castro LM; Department of Statistics, Pontificia Universidad Católica de Chile Santiago, Chile.; SENTINET: Surveillance, Epidemiology, and New Technologies for Infectious Emerging Threats, Santiago, Chile., Lin TI; Institute of Statistics, National Chung Hsing University, Taichung, Taiwan.; Department of Public Health, China Medical University, Taichung, Taiwan.
Source: Statistical methods in medical research [Stat Methods Med Res] 2026 Jul; Vol. 35 (7), pp. 1408-1427. Date of Electronic Publication: 2026 May 19.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+WL%22">Wang WL</searchLink>; Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Castro+LM%22">Castro LM</searchLink>; Department of Statistics, Pontificia Universidad Católica de Chile Santiago, Chile.; SENTINET: Surveillance, Epidemiology, and New Technologies for Infectious Emerging Threats, Santiago, Chile.<br /><searchLink fieldCode="AU" term="%22Lin+TI%22">Lin TI</searchLink>; Institute of Statistics, National Chung Hsing University, Taichung, Taiwan.; Department of Public Health, China Medical University, Taichung, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%229212457%22">Statistical methods in medical research</searchLink> [Stat Methods Med Res] 2026 Jul; Vol. 35 (7), pp. 1408-1427. <i>Date of Electronic Publication: </i>2026 May 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE
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        Value: 10.1177/09622802261449552
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      – TitleFull: Handling missing data, skewness, and outliers in medical research: A robust factor analysis approach using the canonical fundamental skew- ... distribution.
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              Text: 2026 Jul
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              Y: 2026
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