Analysis of a long-term study of neurotic disorder, with insights into the process of non-response

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

Volumn 169, Issue 3, 2006, Pages 507-523

  Longford, Nicholas T ^a,d   Tyrer, P ^b   Nur, U A M ^c   Seivewright, H ^b  

^a SNTL   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

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

^d DEPARTMENT OF ECONOMICS AND BUSINESS   (Spain)

Author keywords

EM algorithm; Missingness not at random; Multiple imputation; Neurotic disorder; Sensitivity analysis

Indexed keywords

EID: 33745054916     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2006.00406.x     Document Type: Article

References (20)

1. Åsberg, M., Montgomery, S. A., Perris, C., Schalling, D. and Sedvall, G. (1978) A comprehensive psychopathological rating scale. Acta Psychiatr. Scand., suppl., no. 271, 5-29.
2. Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) Maximum likelihood for incomplete data via the EM algorithm (with discussion). J. R. Statist. Soc. B, 39, 1-38.
3. Frangakis, C. E. and Rubin, D. B. (2002) Principal stratification in causal inference. Biometrics, 58, 21-29.
4. Kingdon, D., Tyrer, P., Seivewright, N., Ferguson, B. and Murphy, S. (1996) The Nottingham Study of neurotic disorder: influence of cognitive therapists on outcome. Br. J. Psychiatr., 169, 93-97.
5. Knerer, G., Byford, S., Johnson, T., Seivewright, H. and Tyrer, P. (2005) The Nottingham Study of Neurotic Disorder: predictors of 12-year costs. Acta Psychiatr. Scand., 112, 224-232.
6. Little, R. J. A. (1993) Pattern-mixture models for multivariate incomplete data. J. Am. Statist. Ass., 88, 125-144.
7. Little, R. J. A. and Rubin, D. B. (2002) Statistical Analysis with Missing Data, 2nd edn. New York: Wiley.
8. Longford, N. T. (2004) Missing data and small area estimation in the UK Labour Force Survey. J. R. Statist. Soc. A, 167, 341-373.
9. Longford, N. T. (2005) Missing Data and Small-area Estimation: Modern Analytical Equipment for the Survey Statistician. New York: Springer.
10. Longford, N. T., Ely, M., Hardy, R. and Wadsworth, M. E. J. (2000) Handling missing data in diaries of alcohol consumption. J. R. Statist. Soc. A, 163, 381-402.
11. Montgomery, S. A. and Åsberg, M. (1979) A new depression scale designed to be sensitive to change. Br. J. Psychiatr., 134, 382-289.
12. R Development Core Team (2004) R: a Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
13. Rubin, D. B. (1978) Bayesian inference for causal effects: the role of randomisation. Ann. Statist., 6, 34-58.
14. Rubin, D. B. (1996) Multiple imputation after 18+ years. J. Am. Statist. Ass., 91, 473-489.
15. Rubin, D. B. (2000) Comment on "Causal inference without counterfactuals", by A. P. Dawid. J. Am. Statist. Ass., 95, 435-437.
16. Rubin, D. B. (2004) Multiple Imputation for Nonresponse in Surveys, 2nd edn. New York: Wiley.
17. Tyrer, P., Owen, R. T. and Cicchetti, D. (1984) The brief scale for anxiety: a subdivision of the Comprehensive Psychopathological Rating Scale. J. Neurol. Neursurg. Psychiatr., 47, 970-975.
18. Tyrer, P., Seivewright, N., Ferguson, B., Murphy, S. and Johnson, A. L. (1993) The Nottingham Study of neurotic disorder effect of personality status on response to drug treatment, cognitive therapy and self-help over two years. Br. J. Psychiatr., 162, 219-226.
19. Tyrer, P., Seivewright, N., Ferguson, B. and Tyrer, J. (1992) The general neurotic syndrome: a coaxial diagnosis of anxiety, depression and personality disorder. Acta Psychiatr. Scand., 85, 201-206.
20. Zigmond, A. S. and Snaith, R. P. (1983) The hospital anxiety and depression scale. Acta Psychiatr. Scand., 57, 361-370.