Sensitivity analysis for incomplete categorical data

Statistical Modeling

Volumn 1, Issue 1, 2001, Pages 31-48

  Kenward, Michael ^a   Goetghebeur, Els ^b   Molenberghs, Geert ^c  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^b GHENT UNIVERSITY   (Belgium)

^c HASSELT UNIVERSITY   (Belgium)

Author keywords

contingency table; missing at random; overspecified model; saturated model

Indexed keywords

EID: 84993783243     PISSN: 1471082X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1471082X0100100104     Document Type: Article

References (26)

1. Baker S.G., Laird N.M. (1988) Regression analysis for categorical variables with outcome subject to nonignorable nonresponse. Journal of the American Statistical Association 83, 62-69.
2. Baker S.G., Rosenberger W.F., Der Simonian R. (1992) Closed-form estimates for missing counts in two way contingency tables. Statistics in Medicine 11, 643-657.
3. Brown C.H. (1990) Protecting against nonrandomly missing data in longitudinal studies. Biometrics 46, 143-155.
4. Catchpole E.A., Morgan B.J.T. (1997) Detecting parameter redundancy. Biometrika 84, 187-196.
5. Catchpole E.A., Morgan B.J.T., Freeman S.N. (1998) Estimation in parameter-redundant models. Biometrika 85, 462-468.
6. Cochran W.G. (1977) Sampling techniques. New York: John Wiley & Sons.
7. Diggle P.D., Kenward M.G. (1994) Informative dropout in longitudinal data analysis (with discussion). Applied Statistics 43, 49-93.
8. Draper D. (1995) Assessment and propagation of model uncertainty (with discussion). Journal of the Royal Statistical Society, Series B 57, 45-97.
9. Foster J.J., Smith P.W.F. (1998) Model-based inference for categorical survey data subject to nonignorable non-response. Journal of the Royal Statistical Society, Series B 60, 57-70.
10. Kenward M.G., Lesaffre E., Molenberghs G. (1994) An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random. Biometrics 50, 945-953.
11. Kenward M.G., Molenberghs G. (1999) Parametric modeling for incomplete continuous and categorical longitudinal data. Statistical Methods in Medical Research 8, 51-83.
12. Little R.J.A. (1994) A class of pattern-mixture models for normal incomplete data. Biometrika 81, 471-483.
13. Little R.J.A. (1995) Modelling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association 90, 1112-1121.
14. Little R.J.A., Rubin D.B. (1987) Statistical analysis with missing data. New York: John Wiley & Sons.
15. Little R.J.A., Wang Y. (1996) Pattern-mixture models for multivariate incomplete data with covariates. Biometrics 52, 98-111.
16. Michiels B., Molenberghs G. (1997) Protective estimation of longitudinal categorical data with nonrandom dropout. Communications in Statistics 26, 65-94.
17. Molenberghs G., Goetghebeur E., Lipsitz S.R., Kenward M.G. (1999) Non-random missingness in categorical data: strengths and limitations. The American Statistician 53, 110-118.
18. Molenberghs G., Kenward M.G., Goetghebeur E. (2001) Sensitivity analysis for incomplete contingency tables. Applied Statistics 50, 15-29.
19. Molenberghs G., Kenward M.G., Lesaffre E. (1997) The analysis of longitudinal ordinal data with nonrandom dropout. Biometrika 84, 33-44.
20. Molenberghs G., Lesaffre E. (1994) Marginal modelling of correlated ordinal data using an n-way Plackett distribution. Journal of the American Statistical Association 89, 633-644.
21. Nordheim E.V. (1984) Inference from nonrandomly missing categorical data: an example from a genetic study on Turner's syndrome. Journal of the American Statistical Association 79, 772-780.
22. Rubin D.B. (1976) Inference and missing data. Biometrika 63, 581-592.
23. Rubin D.B., Stern H.S., Vehovar V. (1995) Handling ‘Don't Know’ survey responses: the case of the Slovenian plebiscite. Journal of the American Statistical Association 90, 822-828.
24. Vach W., Blettner M. (1995) Logistic regression with incompletely observed categorical covariates-investigating the sensitivity against violation of the missing at random assumption. Statistics in Medicine 14, 1315-1329.
25. Welsh A.H. (1996) Aspects of statistical inference. New York: John Wiley & Sons.
26. White I.R., Goetghebeur E.J.T. (1998) Clinical trials comparing two treatment arm policies: which aspects of the treatment policies make a difference? Statistics in Medicine 17, 319-340.