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Semiparametric Methods in the Proportional Odds Model for Ordinal Response Data with Missing Covariates

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  • Shen-Ming Lee
  • Mei-Jih Gee
  • Shu-Hui Hsieh

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  • Shen-Ming Lee & Mei-Jih Gee & Shu-Hui Hsieh, 2011. "Semiparametric Methods in the Proportional Odds Model for Ordinal Response Data with Missing Covariates," Biometrics, The International Biometric Society, vol. 67(3), pages 788-798, September.
  • Handle: RePEc:bla:biomet:v:67:y:2011:i:3:p:788-798
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01499.x
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    References listed on IDEAS

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    1. Murad H. & Fleischman A. & Sadetzki S. & Geyer O. & Freedman L.S., 2003. "Small Samples and Ordered Logistic Regression: Does it Help to Collapse Categories of Outcome?," The American Statistician, American Statistical Association, vol. 57, pages 155-160, August.
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    Cited by:

    1. Shen-Ming Lee & T. Martin Lukusa & Chin-Shang Li, 2020. "Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods," Computational Statistics, Springer, vol. 35(2), pages 725-754, June.
    2. Shu-Hui Hsieh & Shen-Ming Lee & Chin-Shang Li, 2022. "A Two-stage Multilevel Randomized Response Technique With Proportional Odds Models and Missing Covariates," Sociological Methods & Research, , vol. 51(1), pages 439-467, February.
    3. Shen-Ming Lee & Truong-Nhat Le & Phuoc-Loc Tran & Chin-Shang Li, 2023. "Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods," Computational Statistics, Springer, vol. 38(2), pages 899-934, June.

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