Book Chapters

    2010

  1. Wakefield, J. and Lyons, H. (2010). Spatial aggregation and the ecological fallacy. In Handbook of Spatial Statistics editors A. Gelfand, P. Diggle, P. Guttorp, M. Fuentes, CRC Press.

    2008

  2. Wakefield, J. (2008) Geographical disease risk. In Encycloperdia of Quantitative Risk Assessment and Analysis editors E. Melnick and B. Everitt, pages 744-748, John Wiley and Sons Ltd, Chichester, UK.

    2006

  3. Zhou, C., Wakefield, J. and Breeden, L. (2006). Bayesian analysis of cell cycle gene expression data, in "Bayesian Inference for Gene Expression and Proteomics", Marina Vannucci, Kim Anh Do and Peter Muller (editors), Cambridge University Press.
  4. Wakefield, J. (2006). Sensitivity Analysis. Encyclopedia of Statistics in Behavioral Science, edited by Brian Everitt and David Howell. article.pdf

    2004

  5. Wakefield, J. (2004). Non-linear regression modelling. In Methods and Models in Statistics: In Honor of Professor John Nelder, FRS, p. 119-153, Edited by Niall Adams, Martin Crowder, David J. Hand and Dave Stephens. Imperial College Press.nelder.pdf
  6. Wakefield, J. (2004). Prior and likelihood choices in the analysis of ecological data. To appear in Ecological Inference: New Methodological Strategies, p. 13-50, edited by Gary King, Ori Rosen, and Martin Tanner, Cambridge University Press. main.pdf The complete book is here
  7. Haneuse, S. and Wakefield, J. (2004). Ecological inference allowing for spatial dependence. In Ecological Inference: New Methodological Strategies , p. 266-301 edited by Gary King, Ori Rosen, and Martin Tanner, Cambridge University Press. haneuse.pdf The complete book is here
  8. Salway, R. and Wakefield, J. (2004). A comparison of approaches to ecological inference in epidemiology, political science and sociology. In Ecological Inference: New Methodological Strategies , p. 303-332, edited by Gary King, Ori Rosen, and Martin Tanner, Cambridge University Press.salway.pdf The complete book is here

    2002

  9. Wakefield, J.C. (2002). Multicollinearity. Encyclopedia of Environmetrics, Volume 3, editors A.H. El-Shaarawi and W.W. Piegorsch John Wiley, New York, 1308-1311.

    2000

  10. Pauler, D.K. and Wakefield, J.C. (2000). Issues in the modeling and implementation of Bayesian meta-analyses. Meta-Analysis in Medicine and Health Policy, Stangl, D. and Berry, D.A. (Editors), 205-230. Marcel Dekker, New York and Basel.
  11. Rahman, N. and Wakefield, J.C. (2000). Meta-analysis of population pharmacokinetic data. Meta-Analysis in Medicine and Health Policy, Stangl, D. and Berry, D.A. (Editors), 231-253. Marcel Dekker, New York and Basel.
  12. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (2000). Spatial Epidemiology: Methods and Applications. In Spatial Epidemiology: Methods and Applications. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (editors), 3-14, Oxford University Press.
  13. Arnold, R.A., Diamond, I. and Wakefield, J.C. (2000). The use of population denominator data in spatial epidemiology. Spatial Epidemiology: Methods and Applications. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (editors), 30-50, Oxford University Press.
  14. Elliott, P. and Wakefield, J.C. (2000). Bias and confounding in spatial epidemiology. Spatial Epidemiology: Methods and Applications. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (editors), 68-84, Oxford University Press.
  15. Wakefield, J.C., Best, N.G. and Waller, L.A. (2000). Bayesian approaches to disease mapping. Spatial Epidemiology: Methods and Applications. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (editors), 104-127, Oxford University Press.
  16. Wakefield, J.C., Kelsall, J.E. and Morris, S.E. (2000). Clustering, cluster detection, and spatial variation in risk. Spatial Epidemiology: Methods and Applications. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (editors), 128-152, Oxford University Press.
  17. Morris, S.E. and Wakefield, J.C. (2000). Assessing of disease risk in relation to a pre-specified source. Spatial Epidemiology: Methods and Applications. Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D. (editors), 152-184, Oxford University Press.

    1999

  18. Wakefield, J. (1999). Generalized linear models in spatial epidemiology. In Statistical Modelling, Proceedings of the 14th International Workshop on Statistical Modelling, p. 81-92, editors Friedl, H., Bergold, G. and Kauermann, G., IWSM.
  19. Wakefield, J.C. and Wallace, C. (1999). Implications of estimated counts for small-area studies of environment and health. In Population Counts in Small Areas, Arnold, A., Elliott, P., Wakefield, J. and Quinn, M. (editors), p. 63-73, Studies on Medical and Population Subjects, Office of Population Censuses and Surveys, Office for National Statistics.
  20. Wakefield, J.C., Aarons, L. and Racine-Poon, A. (1999). The Bayesian approach to population pharmacokinetic/pharmacodynamic modeling. Case Studies in Bayesian Statistics, Gatsonis, C., Kass, R.E., Carlin, B.P., Carriquiry, A.L., Gelman, A., Verdinelli, I. and West, M. (editors), p.205-265, Springer-Verlag, New York. Paper is here
  21. Elliott, P. and Wakefield, J.C. (1999). Small-area studies of environment and health. Statistics for the Environment 4: Health and the Environment, Barnett, V., Stein, A. and Turkman, K.F. (editors), p. 3-27, John Wiley, New York.

    1997

  22. Wakefield, J.C. (1997). Hierarchical regression models. Encyclopedia of Statistical Science, Update Volume 1, 313-318, Kotz, S., Read, C.B. and Banks, D.L. (editors), John Wiley, New York.
  23. Wakefield, J.C. (1997). The use of predictive distributions in drug development. In European Cooperation in the Field of Scientific and Technical Research. The Population Approach: Measuring and Managing Response, Concentration and Dose. p. 353-362, Geneva, Switzerland.

    1996

  24. Walker, S.G. and Wakefield, J.C. (1996). Bayesian approaches to the population modelling of a monotonic dose-response relation.
  25. Racine-Poon, A. and Wakefield, J.C. (1996). Bayesian analysis of population pharmacokinetic and instantaneous pharmacodynamic relationships. Bayesian Biostatistics, Berry, D.A. and Stangl, D.K. (editors), p. 355-387, Marcel Dekker, New York and Basel.
  26. Bennett, J.E., Racine-Poon, A. and Wakefield, J.C. (1996). Markov chain Monte Carlo for nonlinear hierarchical models. Markov Chain Monte Carlo in Practice, Gilks, W.R., Richardson, S. and Spiegelhalter, D. J. (editors), p. 339-357, Chapman and Hall, London.