Dealing with non-ignorable non-response by using an 'enthusiasm-to-respond' variable

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 161, Issue 3, 1998, Pages 385-396

  Copas, Andrew J ^a   Farewell, Vern T ^b  

^a ROYAL FREE AND UNIVERSITY COLLEGE MEDICAL SCHOOL   (United Kingdom)

^b NONE

Author keywords

Bootstrap; Estimation; Non ignorable non response; Propensity score; Sample surveys

Indexed keywords

EID: 0039394298     PISSN: 09641998     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-985X.00115     Document Type: Article

References (16)

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. Cassel, C. M., Sarndal, C. E. and Wretman, J. H. (1983) Some uses of statistical models in connection with the nonresponse problem. In Incomplete Data in Sample Surveys (eds W. G. Madow and I. Olkin), vol. 3, pp. 143-160. New York: Academic Press.
3. 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.
4. Copas, A. J., Johnson, A. M. and Wadsworth, J. (1997) Assessing participation bias in a sexual behaviour survey: implications for measuring HIV risk. AIDS, 11, 783-790.
5. Czajka, J. L., Hirabayashi, S. M., Little, R. J. A. and Rubin, D. B. (1992) Projecting from advance data using propensity modeling: an application to income and tax statistics. J. Bus. Econ. Statist., 10, 117-131.
6. 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.
7. Goksel, H., Judkins, D. R. and Mosher, W. D. (1991) Nonresponse adjustments for a telephone follow-up to a national in-person survey. Proc. Surv. Res. Meth. Sect. Am. Statist. Ass., 581-586.
8. Ibrahim, J. G. and Lipsitz, S. R. (1996) Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable. Biometrics, 52, 1071-1078.
9. Johnson, A. M., Wadsworth, J., Wellings, K. and Field, J. (1994) Sexual A Attitudes and Lifestyles. Oxford: Blackwell.
10. Little, R. J. A. (1986) Missing-data adjustments in large surveys. J. Bus. Econ. Statist., 6, 287-296.
11. _ (1988) Survey nonresponse adjustments for estimates of means. Int. Statist. Rev., 54, 139-157.
12. _ (1993) Pattern-mixture models for multivariate incomplete data. J. Am. Statist. Ass., 88, 125-134.
13. Little, R. J. A. and Rubin, D. B. (1987) Statistical Analysis with Missing Data. New York: Wiley.
14. Park, T. and Brown, M. B. (1994) Models for categorical data with nonignorable nonresponse. J. Am. Statist. Ass., 89, 44-52.
15. Wadsworth, J., Field, J., Johnson, A. M., Bradshaw, S. and Wellings, K. (1993) Methodology of the National Survey of Sexual Attitudes and Lifestyles. J. R. Statist. Soc. A, 156, 407-421.
16. Wadsworth, J., Johnson, A. M., Wellings, K. and Field, J. (1996) What's in a mean? - an examination of the inconsistency between men and women in reporting sexual partnerships. J. R. Statist. Soc. A. 159, 111-123.