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Original Articles

A doubly robust goodness-of-fit test in general linear models with missing covariates

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Pages 7909-7923 | Received 18 Jun 2016, Accepted 20 Oct 2016, Published online: 09 May 2017

References

  • Bianco, A. M., Boente, G., Rodrigues, I. M. (2013). Robust test in generalized linear models with missing responses. Computational Statistics and Data Analysis 65:80–97.
  • Creemers, A., Aerts, M., Hens, H., Molenbergh, G. (2011). A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Computational Statistics and Data Analysis 56:100–113.
  • Guo, X., Xu, W. (2012). Goodness-of-fit tests for general linear models with covariates missed at random. Journal of Statistical Planning and Inference 142:2047–2058.
  • Hardle, W., Mammen, E. (1993). Comparing nonparametric versus parametric regression fits. Annals of Statistics 21:1921–1947.
  • Hardle, W., Mammen, E., Muller, M. (1998). Testing parametric versus semiparametric modeling in generalized linear models. Journal of the American Statistical Association 93:1461–1474.
  • Lee, A. J., Scott, A. J. (1986). Ultrasound in ante-natal diagnosis. In: Brook, R. J., Arnold, G. C., Hassard, T. H., Pringle, R. M., eds. The fascination of Statistics. New York: Marcel Decker, pp. 277–293.
  • Little, R. J. A. (1992). Regression with missing X’s: A review. Journal of the American Statistical Association 87:1227–1237.
  • Manteiga, G. W., Gonzalez, P. A. (2006). Goodness-of-fit tests for linear regression models with missing response data. Canadian Journal of Statistics 34:149–170.
  • Robins, J., Rotnitzky, A., Zhao, L. (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association 89:846–866.
  • Robins, J., Rotnitzky, A., Zhao, L. (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. Journal of the American Statistical Association 90:106–121.
  • Rubin, D. B. (1976). Inference and missing data. Biometrika 63:581–592.
  • Wang, C. Y., Wang, S., Zhao, L. P., Ou, S. T. (1997). Weighted semiparametric estimation in regression analysis with missing covariate data. Journal of the American Statistical Association 92:512–525.
  • Wang, S., Wang, C. Y. (2001). A note on kernel assisted estimators in missing covariate regression. Statistics and Probability Letters 55:439–449.
  • Xue, L. G. (2009). Empirical likelihood for linear models with missing responses. Journal of Multivariate Analysis 100:1353–1366.
  • Zhao, L. P., Lipsitz, S. (1992). Design and analysis of two-stage studies. Statistics in Medicine 11:769–782.
  • Zhu, L. X., Cui, H. J. (2005). Testing lack-of-fit for general linear errors in variables models. Statistica Sinica 15:1049–1068.

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