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A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data

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  • Ting Lin

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  • Ting Lin, 2010. "A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(2), pages 277-287, February.
    • Handle: RePEc:spr:qualqt:v:44:y:2010:i:2:p:277-287
    DOI: 10.1007/s11135-008-9196-5
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    References listed on IDEAS

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    1. C. Hendricks Brown, 1983. "Asymptotic comparison of missing data procedures for estimating factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 269-291, June.
    2. Bengt Muthén & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 431-462, September.
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    Cited by:

    1. Khaled Khatab & Maruf A Raheem & Benn Sartorius & Mubarak Ismail, 2019. "Prevalence and risk factors for child labour and violence against children in Egypt using Bayesian geospatial modelling with multiple imputation," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-20, May.
    2. Kamrul Islam Shahin & Christophe Simon & Philippe Weber & Aslak Johansen & Mikkel Baun Kjærgaard, 2023. "Prognostic considering missing data: An input output hidden Markov model based solution," Journal of Risk and Reliability, , vol. 237(5), pages 980-993, October.
    3. Hamid Heidarian Miri & Jafar Hassanzadeh & Abdolreza Rajaeefard & Majid Mirmohammadkhani & Kambiz Ahmadi Angali, 2016. "Multiple Imputation to Correct for Nonresponse Bias: Application in Non-communicable Disease Risk Factors Survey," Global Journal of Health Science, Canadian Center of Science and Education, vol. 8(1), pages 133-133, January.
    4. Hanson, Rochelle F. & Saunders, Benjamin E. & Peer, Samuel O. & Ralston, Elizabeth & Moreland, Angela D. & Schoenwald, Sonja & Chapman, Jason, 2018. "Community-based learning collaboratives and participant reports of interprofessional collaboration, barriers to, and utilization of child trauma services," Children and Youth Services Review, Elsevier, vol. 94(C), pages 306-314.
    5. Minh Hung Ho & Amélie Ponchet Durupt & Hai Canh Vu & Nassim Boudaoud & Arnaud Caracciolo & Sophie Sieg-Zieba & Yun Xu & Patrick Leduc, 2023. "Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production," Mathematics, MDPI, vol. 11(22), pages 1-24, November.

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