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References

Agresti1990
Agresti, A. (1990). Categorical Data Analysis. John Wiley and Sons, New York.

Bacon and Watts1971
Bacon, D. W. and Watts, D. G. (1971). Estimating the transition betwen two intersecting straight lines. Biometrika, 58, 525-34.

Berkson1950
Berkson, J. (1950). Are there two regressions? Journal of the American Statistical Association, 45, 164-80.

Berry1987
Berry, D. A. (1987). Interim analysis in clinical trials: the role of the likelihood principle. American Statistician, 41, 117-22.

Besag1974
Besag, J. (1974). Spatial interaction and the statistical analysis of lattice systems (with discussion). Journal of the Royal Statistical Society, Series B, 36, 192-236.

Bliss1935
Bliss, C. I. (1935). The calculation of the dosage-mortality curve. Annals of Applied Biology, 22, 134-67.

Bowmaker et al.1985
Bowmaker, J. K., Jacobs, G. H., Spiegelhalter, D. J., and Mollon, J. D. (1985). Two types of trichromatic squirrel monkey share a pigment in the red-green region. Vision Research, 25, 1937-46.

Breslow and Clayton1993
Breslow, N. E. and Clayton, D. G. (1993). Approximate inference in generalized linear mixed models. Journal American Statistical Association, 88, 9-25.

Breslow and Day1980
Breslow, N. E. and Day, N. E. (1980). Statistical Methods on Cancer Research Volume 1: Case-cCntrol Studies . International Agency for Cancer Research, Lyon.

Cannings and Thompson1981
Cannings, C. and Thompson, E. A. (1981). Genealogical and Genetic Structures. Cambridge University Press, Cambridge, UK.

Carlin and Chib1995
Carlin, B. P. and Chib, S. (1995). Bayesian model choice via Markov chain Monte Carlo methods. Journal of the Royal Statistical Society, Series B, 57, 473-84.

Carlin et al.1992
Carlin, B. P., Galfand, A. E., and Smith, A. F. M. (1992). Hierarchical Bayesian analysis of changepoint problems. Applied Statistics, 41, 389-408.

Carlin and Gelfand1991
Carlin, B. P. and Gelfand, A. E. (1991). An iterative Monte Carlo method for nonconjugate Bayesian analysis. Statistics and Computing, 1, 119-28.

Carroll et al.1993
Carroll, R., Gail, M., and Lubin, J. (1993). Case-control studies with errors in covariates. Journal of the American Statistical Association, 88, 185-99.

Clayton and Kaldor1987
Clayton, D. G. and Kaldor, J. (1987). Empirical Bayes estimates of age-standardised relative risks for use in disease mapping. Biometrics, 43, 671-81.

Cox and Hinkley1974
Cox, D. R. and Hinkley, D. (1974). Chapman and Hall, London.

Dobson1983
Dobson, A. J. (1983). An introduction to statistical modelling. Chapman and Hall, London.

Elston and Grizzle1962
Elston, R. C. and Grizzle, J. F. (1962). Estimation of time response curves and their confidence bands. Biometrics, 18, 148-59.

Farewell and Sprott1988
Farewell, V. T. and Sprott, D. A. (1988). The use of a mixture model in the analysis of count data. Biometrics, 44, 1191-4.

Freedman et al.1994
Freedman et al. (1994). Nature, 371, 757-62.

Gelfand et al.1990
Gelfand, A. E., Hills, S. E., Racine-Poon, A., and Smith, A. F. M. (1990). Illustration of Bayesian inference in normal data models using Gibbs sampling. Journal of the American Statistical Association, 85, 972-85.

Gelfand et al.1992
Gelfand, A. E., Smith, A. F. M., and Lee, T.-M. (1992). Bayesian analysis of constrained parameter and trucated data problems using Gibbs sampling. Journal of the American Statistical Association, 87, 523-32.

Goldstein1979
Goldstein, H. (1979). The design and analysis of longitudinal studies. Academic Press, London.

Lauritzen and Spiegelhalter1988
Lauritzen, S. L. and Spiegelhalter, D. J. (1988). Local computations with probabilities on graphical structures and their application to expert systems (with discussion). Journal of the Royal Statistical Society, Series B, 50, 157-224.

Lindley1970
Lindley, D. V. (1970). The estimation of many parameters. In Foundation of statistical inference. Holt, Rinehart and Winston, Toronto.

Prosser et al.1991a
Prosser, R., Rasbash, J., and Goldstein, H. (1991a). ML3: Software for three-level analysis. London.

Prosser et al.1991b
Prosser, R., Rasbash, J., and Goldstein, H. (1991b). ML3: Software for three-level analysis. Users' guide for V.2. Institute of Education, University of London.

Ratkowsky1983
Ratkowsky, D. (1983). Nonlinear regression modelling. Marcel Dekker, New York.

Robert1994
Robert, C. (1994). Mixtures of distributions: inference and estimation. In Markov chain Monte Carlo in practice, (ed. W. Gilks, S. Richardson, and D. Spiegelhalter). Chapman and Hall. (to appear).

Spiegelhalter1990
Spiegelhalter, D. J. (1990). Fast algorithms for probabilistic reasoning in influence diagrams, with applications in genetics and expert systems. In Influence Diagrams, Belief Nets and Decision Analysis, (ed. R. M. Oliver and J. Q. Smith), pp. 361-84. Wiley, Chichester.

Spiegelhalter et al.1993
Spiegelhalter, D. J., Dawid, A. P., Lauritzen, S. L., and Cowell, R. G. (1993). Bayesian analysis in expert systems (with discussion). Statistical Science, 8, 219-83.

Spiegelhalter and Stovin1983
Spiegelhalter, D. J. and Stovin, P. G. I. (1983). An analysis of repeated biopsies following cardiac transplantation. Statistics in Medicine, 2, 33-40.

Stephens and Dellaportas1992
Stephens, D. and Dellaportas, P. (1992). Bayesian analysis of generalised linear models with covariate measurement error. In Bayesian Statistics 4, (ed. J. Bernardo, J. Berger, A. Dawid, and A. Smith). Clarendon Press, Oxford, UK.

Whittemore and Keller1988
Whittemore, A. and Keller, J. (1988). Approximations for regression with covariate measurement error. Journal of the American Statistical Association, 83, 1057-66.

Williams1959
Williams, E. (1959). Regression Analysis. John Wiley and Sons, New York.



Daniel Farewell
Mon Sep 13 16:39:37 BST 1999