Chapter References

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2. Fleiss, J.L. (1987). The design and analysis of clinical experiments. Wiley, New York.

3. Streiner, D.L. and Norman, G.R. (1995). Health measurement scales: a practical guide to their development and use (2nd edn). Oxford University Press.

4. Dunn, G. (1989). Design and analysis of reliability studies. Arnold, London.

5. Dunn, G. and Everitt, B.S. (1995). Clinical biostatistics: an introduction to evidence based medicine, Chapter 4. Arnold, London.

6. Kessler, R.C. (1994). The National Comorbidity Survey of the United States. International Review of Psychiatry, 6, 365-76.

7. Jenkins, R., Bebbington, P., Brugha, T., et al. (1997). The National Psychiatric Morbidity Surveys of Great Britain—strategy and methods. Psychological Medicine, 27, 765-74.

8. Pickles, A. and Dunn, G. (1998). Prevalence of disease, estimation from screening data. In Encyclopedia of biostatistics (ed. P. Armitage and T. Colton), Vol. 5, pp. 3484-90. Wiley, Chichester.

9. Lehtonen, R. and Pahkinen, E.J. (1995). Practical methods for design and analysis of complex surveys. Wiley, Chichester.

10. Cochran, W.G. (1977). Sampling techniques (3rd edn). Wiley, New York.

11. Goldberg, D.P. and Williams, P. (1988). A user's guide to the General Health Questionnaire. NFER-Nelson, Windsor.

12. Begg, C.B. and Greenes, R.A. (1983). Assessment of diagnostic tests when disease verification is subject to selection bias. Biometrics, 39, 207-15.

13. Dunn, G. (1998). Compensating for missing data in psychiatric surveys. Epidemiologia e Psichiatria Sociale, 6, 159-62.

14. Dunn, G., Pickles, A., Tansella, M., and Vázquez-Barquero, J.L. (1999). The role of two-phase epidemiological surveys in psychiatric research. British Journal of Psychiatry, 174, 95-100.

15. Pickles, A., Dunn, G., and Vázquez-Barquero, J.L. (1995). Screening for stratification in two-phase ('two-stage') epidemiological surveys. Statistical Methods in Medical Research, 4, 75-91.

16. Vázquez-Barquero, J.L., Garcia, J., Artal Simón, J., et al. (1997). Mental health in primary care: an epidemiological study of morbidity and use of health resources. British Journal of Psychiatry, 170, 529-35.

17. Plewis, I. (1997). Statistics in education. Arnold, London.

18. Diggle, P.J., Liang, K., and Zeger, S.L. (1994). Analysis of longitudinal data. Oxford University Press.

19. Fuller, W.A. (1987). Measurement error models. Wiley, New York.

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21. Fergusson, D.M. (1998). Annotation: structural equation models in developmental research. Journal of Child Psychology and Psychiatry, 38, 877-87.

22. Dunn, G. (1999). Statistics in psychiatry. Arnold, London.

23. Dunn, G., Everitt, B., and Pickles, A. (1993). Modelling covariances and latent variables using equations. Chapman & Hall, London.

24. Armitage, P. and T. Colton, T. (ed.) (1998). Encyclopedia of biostatistics. Wiley, Chichester.

25. Armitage, P. and Berry, G. (1994). Statistical methods in medical research (3rd edn). Blackwell Science, Oxford.

26. Everitt, B.S. and Dunn, G. (1993). Applied multivariate data analysis. Arnold, London.

27. Everitt, B.S. (1996). Making sense of statistics in psychology. Oxford University Press.

28. Sham, P. (1998). Statistics in human genetics. Arnold, London.

Funny Wiring Autism

Funny Wiring Autism

Autism is a developmental disorder that manifests itself in early childhood and affects the functioning of the brain, primarily in the areas of social interaction and communication. Children with autism look like other children but do not play or behave like other children. They must struggle daily to cope and connect with the world around them.

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