Markov Chain Generated Profile Likelihood Inference under Generalized Proportional to Size Non-ignorable Non-response
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- Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
- Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz, 1999. "Monte Carlo EM for Missing Covariates in Parametric Regression Models," Biometrics, The International Biometric Society, vol. 55(2), pages 591-596, June.
- Ib Thomsen & Ann Marit Kleive Holmøy, 1998. "Combining Data from Surveys and Administrative Record Systems. The Norwegian Experience," International Statistical Review, International Statistical Institute, vol. 66(2), pages 201-221, August.
- James Robins & Andrea Rotnitzky & Stijn Vansteelandt, 2007. "Discussions," Biometrics, The International Biometric Society, vol. 63(3), pages 650-653, September.
- P. W. F. Smith & C. J. Skinner & P. S. Clarke, 1999. "Allowing for non‐ignorable non‐response in the analysis of voting intention data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(4), pages 563-577.
- J. G. Ibrahim & S. R. Lipsitz & M.‐H. Chen, 1999. "Missing covariates in generalized linear models when the missing data mechanism is non‐ignorable," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 173-190.
- Steven E. Stern, 1997. "A Second‐order Adjustment to the Profile Likelihood in the Case of a Multidimensional Parameter of Interest," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(3), pages 653-665.
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Keywords
Non-ignorable non-response; profile likelihood; Markov chain sampling.;
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