Allowing for non-ignorable non-response in the analysis of voting intention data

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 48, Issue 4, 1999, Pages 563-577

  Smith, Peter W F ^a   Skinner, Chris J ^b   Clarke, Paul S ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b NONE

Author keywords

Log linear models; Missing data; Polling data; Profile likelihoods

Indexed keywords

EID: 0033473818     PISSN: 00359254     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9876.00172     Document Type: Article

References (20)

1. Baker, S. G. and Laird, N. M. (1988) Regression analysis for categorical variables with outcome subject to nonignorable nonresponse. J. Am. Statist. Ass., 83, 62-69.
2. Baker, S. G., Rosenberger, W. F. and DerSimonian, R. (1992) Closed-form estimates for missing counts in two-way contingency tables. Statist. Med., 11, 643-657.
3. Bishop, Y. M. M., Fienberg, S. E. and Holland, P. (1975) Discrete Multivariate Analysis: Theory and Practice. Cambridge: Massachusetts Institute of Technology Press.
4. Brown, C. H. (1990) Protecting against nonrandomly missing data in longitudinal studies. Biometrics, 46, 143-155.
5. Chambers, R. L. and Welsh, A. H. (1993) Log-linear models for survey data with non-ignorable non-response. J. R. Statist. Soc. B, 55, 157-170.
6. Clarkson, D. B. and Jennrich, R. I. (1991) Computing extended maximum likelihood estimates for linear parameter models. J. R. Statist. Soc. B, 53, 417-426.
7. Cochran, W. (1983) Planning and Analysis of Observational Studies. New York: Wiley.
8. Cox, D. R. and Hinkley, D. V. (1974) Theoretical Statistics. London: Chapman and Hall.
9. Fay, R. E. (1986) Causal models for patterns of non-response. J. Am. Statist. Ass., 81, 354-365.
10. Forster, J. J. and Smith, P. W. F. (1998) Model-based inference for categorical survey data subject to non-ignorable non-response. J. R. Statist. Soc. B, 60, 57-70.
11. Greenacre, M. J. (1984) Theory and Applications of Correspondence Analysis. New York: Academic Press.
12. Heath, A. (1993) British Election Studies, 1969-1992 (computer file). Colchester: Economic and Social Research Council Data Archive.
13. Jowell, R., Hedges, B., Lynn, P., Farrant, G. and Heath, A. (1993) The 1992 British election: the failure of the polls. Publ. Opin. Q., 57, 238-263.
14. Little, R. J. (1982) Models for non-response in sample surveys. J. Am. Statist. Ass., 77, 237-250.
15. Little, R. J. A. and Rubin, D. B. (1987) Statistical Analysis with Missing Data. New York: Wiley.
16. Market Research Society Working Party (1994) The Opinion Polls and the 1992 General Election. London: Market Research Society.
17. Michiels, B. and Molenberghs, G. (1997) Protective estimation of longitudinal categorical data with nonrandom dropout. Communs Statist. Theory Meth., 26, 65-94.
18. Park, T. and Brown, M. B. (1994) Models for categorical data with nonignorable nonresponse. J. Am. Statist. Ass., 89, 44-52.
19. Rubin, D. B. (1976) Inference and missing data. Biometrika, 63, 581-592.
20. Whittaker, J. (1990) Graphical Models in Applied Multivariate Statistics. Chichester: Wiley.