Refereed Articles

    Google scholar link to my papers: here. Early demos, B-sides and remixes on arXiv: here.


  1. Psoter, K.J., De Roos A.J., Wakefield J., Mayer J.D., Rosenfeld M. Seasonality of acquisition of respiratory bacterial pathogens in young children with cystic fibrosis. To appear in BMC Infect Dis.
  2. Fintzi, J., Cui, X., Wakefield, J. and Minin, V.N. (2017). Efficient data augmentation for fitting stochastic epidemic models to prevalence data, Journal of Computational and Graphical Statistics, To Appear.
  3. McCoy, R.C, Wakefield, J. and Akey, J.M. (2017). Impacts of Neanderthal-Introgressed sequences on the landscape of human gene expression. Cell, 168, 916-927.
  4. Skinner, C. and Wakefield, J. (2017). Introduction to the design and analysis of complex survey design. Statistical Science, 32, 165--175.
  5. Fisher, L., Wakefield, J., Bauer, C. and Self, S. (2017). Time series modeling of pathogen-specific disease probabilities with incomplete data. Biometrics, 73, 283-293.


  6. Wakefield, J., Simpson, D. and Godwin, J. (2016). ``Comment: Getting into space with a weight problem". Discussion of, ``Model-based geostatistics for prevalence mapping in low-resource settings", by P.J. Diggle and E. Giorgi. Journal of the American Statistical Association, 111, 1111-1119. Arxiv link here.
  7. Smith, T.R. and Wakefield, J. (2016). A review and comparison of age-period-cohort models for cancer incidence. Statistical Science, 31, 591-610.
  8. Koepke, A.A., Longini, I.M., Halloran, M.E., Wakefield. J. and Minin, V.N. (2015). Predictive modeling of cholera outbreaks in Bangladesh. The Annals of Applied Statistics, 10, 575-595.
  9. Liang, P.S., Mayer, J.D., Wakefield, J. and C.W., Ko (2016). Temporal trends in geographic and sociodemographic disparities in colorectal cancer, 1973-2010. The Journal of Rural Health, Published 31 August 2016.
  10. Song, L., Mercer, L., Wakefield, J., Laurent, A. and Solet, D. (2016). Using small-area estimation to calculate the prevalence of smoking by subcounty geographic areas in King County, Washington, Behavioral Risk Factor Surveillance System, 2009-2013. Preventing Chronic Disease: Public Health Research, Practice and Policy, Published May 5 2016.
  11. Vernot, B., Tucci, S., Kelso, J., Schraiber, J., Wolf, A.B, Gittelman, R.M., Dannemann, M., Grote, S., McCoy, R.C., Norton, H., Scheinfeldt, L.B., Merriwether, D.A., Koki, G., Friedlaender, J.S., Wakefield, J., Paabo, S. and Akey, J.M. (2016). Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals. Science, Published May 17, 2016.
  12. Kim, A. and Wakefield, J. (2015). Bayesian method for cluster detection with application to five cancer sites in Puget Sound. Epidemiology, 27, 347-55.


  13. Akullian, A., Ng'eno, E., Matheson, A.I., Macharia, D., Leonard, C., Bigogo, G., Stewart, G., Walson, J., Wakefield, J. and Montgomery, J.M. (2015). Environmental transmission of typhoid fever in an urban slum. PLOS Neglected Tropical Diseases, 9. Published December 3, 2015. Article can be found here.
  14. Schaafsma, T., Wakefield, J., Hanisch, R., Bray, F., Schuz, J., Joy, E.J.M., Watts, M.J. and McCormack, V. (2015). Micronutrient intake and the African esphagael cancer belt - ecological insights. PLOS ONE, 10.
  15. Psoter, K.J., De Roos, A.J., Wakefield, J., Mayer, J.Di., Bryan, M., Rosenfeld, M. (2015). Association of meteorologic and geographic factors and risk of initial Pseudomonas aeruginosa acquisition in young children with cystic fibrosis. Epidemiology and Infection. 144, 1075-83.
  16. Chen, C., Wakefield, J., Self, S. and Rue, H. (2015). Bayesian penalized spline models for the analysis of spatio-temporal count data. Statistics in Medicine, 35, 1848-1865.
  17. Mercer, L., Wakefield, J., Pantazis, A., Lutambi, A., Masanja, H. and Clark, S. (2015). Small area estimation of child mortality in the absence of vital registration. The Annals of Applied Statistics, 9, 1889-1905. Paper is here.
  18. Ross, M.E. and Wakefield, J. (2015). Bayesian hierarchical models for smoothing in two-phase studies, with application to small area estimation. Journal of the Royal Statistical Society, Series A, 178, 1009-1023.
  19. Smith, T., Wakefield, J. and Dobra, A. (2015). Restricted covariance priors with application in spatial statistics. Bayesian Analysis, 10, 965-990. Paper can be found here.


  20. Andrie, J.M., Wakefield, J. and Akey, J.M. (2014). Heritable variation of mRNA decay rates in yeast. Genome Research, 24, 2000-2010.
  21. Chen, C., Wakefield, J. and Lumley, T. (2014). The use of sampling weights in Bayesian hierarchical models for small area estmation. Spatial and Spatio-temporal Epidemiology, 11, 33-43.
  22. Akullian, A, Kohler, P., Kinuthia, J., Laserson, K., Mills, L.A., Okanda, J., Olilo, G., Ombok, M., Odhiambo, F., Rao, D., Wakefield, J. and John-Stewart, G. (2014). Geographic distribution of HIV stigma among women of childbearing age in rural Kenya. AIDS, 28, 1665-1672.
  23. Mercer, L., Wakefield, J., Chen, C. and Lumley, T. (2014). A Comparison of spatial smoothing weighting methods for small area estimation. Spatial Statistics, 8, 69-85.
  24. Connelly, C.F., Wakefield, J. and Akey, J.M. (2014). Evolution and genetic architecture of chromatin accessibility and function in yeast. PLoS Genetics, Published July 3, 2014.
  25. Psoter, K, Rosenfeld, M., DeRoos, A.J., Mayer, J.D. and Wakefield, J. (2014). Differential geographical risk of initial Pseudomonas aeruginosa acquisition in young U.S. children with cystic fibrosis. American Journal of Epidemiology, 179, 1503-1513.
  26. Wakefield, J.C., Skrivankova, V., Hsu, F.-C., Sale, M. and Heagerty, P. (2014). Detecting signals in pharmacogenomic studies. The Pharmacogenomics Journal. Published online January, 2014.
  27. Glynn, A. and Wakefield, J. (2014). Alleviating ecological bias in Poisson models using optimal subsampling: The effects of Jim Crow on black illiteracy in the Robinson data". Sociological Methodology, 44, 159-184.


  28. Skelly, D.A., Merrihew, G.E., Riffle, M., Connelly, C.F., Kerr, E.O., Johansson, M., Jaschob, D., Graczyk, B., Shulman, N.J., Wakefield, J., Cooper, S.J., Field, S., Noble, W.S. Muller, E.G., Davis, T.N., Dunham, M.J., Maccoss, M.J. and Akey, J.M. (2013). Integrative phemomics reveals insight into the structure of phenotypic diversity in budding yeast. Genome Research, 23, 1496-1504.
  29. Psoter, K.J., de Roos, A.J, Wakefield, J., Mayer, J.D. and Rosenfeld, M. (2013). Season is associated with Pseudomonas aeruginosa acquisition in young children with cystic fibrosis. Clinical Microbiology and Infection. , 19, E483-E489.
  30. Zheng, Z., Shen, J., Cox, C., Wakefield, J.C., Ehm, M.G., Nelson, M.R. and Weir, B.S. (2013). HIBAG - HLA genotype imputation with attribute bagging. The Pharmacogenomics Journal, published online May 2013.
  31. Shaddick G., Lee D. and Wakefield J. (2013). Ecological bias in studies of the short-term effects of air pollution on health. International Journal of Applied Earth Observation and Geoinformation, 22, 65-74.
  32. Wakefield, J. and Kim, A. (2013). A Bayesian model for cluster detection. Biostatistics, 14, 752-765.
  33. Hoff, P. and Wakefield, J. (2013). A Bayesian sandwich estimator. To appear in Journal of Statistical Planning and Inference (as a discussion of Stephen Walker's "Bayesian inference with misspecified models").
  34. Ross, M.E. and Wakefield, J.C. (2013). Bayesian inference for two-phase studies with categorical covariates. Biometrics, 69, 469-477.
  35. Islami, F.,...,Wakefield, J. ... (2013). Smoking water-pipe, chewing nass, and prevalence of heart disease -- A cross-sectional analysis of baseline data from the Golestan cohort study, Iran. Heart , 99, 272--278.


  36. Fong, Y., Wakefield, J., De Rosa, S. and Frahm, N. (2012). A robust Bayesian random effects model for nonlinear calibration problems. Biometrics, 68, 1103--1112.
  37. Johansson, M.,...,Wakefield, J. and Mckay, J.D. (2012). Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4 - the AdAPT method. PLoS One, 7, e36888.
  38. de Vocht, F., Cherry, N. and Wakefield, J (2012). A Bayesian mixture modeling approach for assessing the effects of correlated exposures in case-control studies. Journal of Exposure Science and Environmental Epidemiology, 22, 352-360.
  39. Fong, Y., Wakefield, J. and Rice, K. (2012). An efficient Markov chain Monte Carlo method for mixture models by neighborhood pruning. Journal of Computational and Graphical Statistics, 21, 197-216.


  40. Skelly, D.A., Johansson, M., Madeoy, J., Wakefield, J. and Akey, J.M. (2011). A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-Seq data. Genome Research, 21, 1728-1737. Paper can be accessed here
  41. Wang, Y., Feng, Z., Yang, Y., Self, S., Gao, Y., Longini, I.M., Wakefield, J., Zhang, J., Wang, L., Chen, C., Yao, L., Stanaway, J.D., Wang, Z. and Yang, W. (2011). Hand, foot and mouth disease in China: patterns of spread and transmissibility during 2008-2009. Epidemiology, 22, 781-792.
  42. Wakefield, J., Haneuse, S., Dobra, A. and Teeple, E. (2011). Bayes computation for ecological inference. Statistics in Medicine, 30, 1381-1396.


  43. Ross, M.E., Wakefield, J., Davis, S. and De Roos, A.J (2010). Spatial clustering of myelodysplastic syndromes (MDS) in the Seattle-Puget sound region of Washington State. Cancer Causes Control, 21, 829-838.
  44. Wakefield, J. (2010). Bayesian methods for examining Hardy-Weinberg equilibrium. Biometrics, 66, 257-265.
  45. Glynn, A. and Wakefield (2010). Ecological inference in the social sciences. Statistical Methodology, 7, 307-322.
  46. Fong, Y., Rue, H. and Wakefield, J. (2010). Bayesian inference for generalized linear mixed models. Biostatistics, 11, 397-412.
  47. Fong, Y., Wakefield, J, and Rice, K. (2010). Bayesian mixture modeling using a hybrid sampler with application to protein subfamily identification. Biostatistics, 11, 18-33.
  48. Wakefield, J., de Vocht, F. and Hung, R.J. (2010). Bayesian mixture modeling of gene-environment and gene-gene interactions. Genetic Epidemiology, 34, 16-25.


  49. Islami, F., Malekshah, A.F., Kimiagar, M., Pourshams, A., Wakefield, J., et al. (2009). Patterns of food and nutrient consumption in Northern Iran, a high-risk area for esophageal cancer, Nutrition and Cancer, 61, 475-483.
  50. Wakefield, J. (2009). Multi-level modelling, the ecologic fallacy, and hybrid study designs, International Journal of Epidemiology, 38, 330-336. Illiteracy data Paper WinBUGS code
  51. Islami, F., Kamangar, F., Nasrollahzadeh, D., Aghcheli, K., Sotoudeh, M., Abedi-Ardekani, B., Merat, S., Nasseri-Moghaddam, S., Semnani, S., Sepehr, A., Wakefield, J., et al. (2009). Socio-economic status and oesophageal cancer: results from a population-based case-control study in a high-risk area. International Journal of Epidemiology, 38, 978-988.
  52. Wakefield, J. (2009). Bayes factors for genome-wide association studies: comparison with p-values. Genetic Epidemiology, 33, 79-86.


  53. Salway, R.E. and Wakefield, J. (2008). Gamma generalized linear models for pharmacokinetic data. Biometrics, 64, 620-626.
  54. Wakefield, J. (2008). Ecologic studies revisited. Annual Review of Public Health 29, 75-90. annrev08.pdf
  55. Wakefield, J. (2008). Reporting and interpretation in genome-wide association studies. International Journal of Epidemiology. wakefieldIJE.pdf 37, 641-653.
  56. Wakefield, J. and Haneuse, S. (2008). Overcoming ecological bias using the two-phase study design. American Journal of Epidemiology, 167, 908-916 wakefieldhaneuseAJE.pdf
  57. McKay, J.D. Hashibe, M, Hung, R.J., Wakefield, J., et al. (2008). Sequence Variants of NAT1 and NAT2 and Other Xenometabolic Genes and Risk of Lung and Aerodigestive Tract Cancers in Central Europe. Cancer Epidemiology and Biomarkers, 17, 141-147.
  58. Haneuse, S. and Wakefield, J. (2008). The combination of ecological and case-control data. Journal of the Royal Statistical Society, Series B, 70, 73-93 haneusewakefieldRSSB.pdf.
  59. Glynn, A., Wakefield, J., Handcock, M. and Richardson, T.S. (2008). Alleviating linear ecological bias and optimal design with subsample data. Journal of the Royal Statistical Society, Series A 171, 179-202. glynnetalRSSA.pdf.
  60. Li, S., Wakefield, J. and Self, S.G. (2008). A Trans-dimensional Bayesian model for pattern recognition in DNA sequence. Biostatistics, 9, 668-685.
  61. Salway, R. and Wakefield, J. (2007). A hybrid model for reducing ecological bias. Biostatistics. 9, 1-17. Paper can be found here.
  62. Haneuse, S. and Wakefield, J. (2007). Geographic-based ecological correlation studies using supplemental case-control data. Statistics in Medicine, 27, 864-887.


  63. Wakefield, J. (2007). A Bayesian measure of the probability of false discovery in genetic epidemiology studies. American Journal of Human Genetics, 81, 208-227 Paper can be found here.
  64. Elliott, P., Shaddick, G., Wakefield, J., de Hoogh, C. and Briggs, D.J. (2007). Long-term associations of outdoor air pollution with mortality in Great Britain. Thorax, 62, 1088-1094. thorax2007.pdf
  65. Haneuse, S., Wakefield, J. and Sheppard, L. (2007). The interpretation of exposure effect estimates in chronic air pollution studies. Statistics in Medicine, 26, 3172-3187. Paper can be found here.
  66. Haneuse, S. and Wakefield, J. (2007). Hierarchical models for combining ecological and case-control data. Biometrics, 63, 128-136. Paper can be found here.
  67. Wakefield, J. (2007). Disease mapping and spatial regression with count data. Biostatistics, 8, 158-183. Paper can be found here.


  68. Wakefield, J. and Shaddick, G. (2006). Health-exposure modelling and the ecological fallacy. Biostatistics, 7, 438-455. Paper can be found here.
  69. Zhou, C. and Wakefield, J. (2006). A Bayesian hierarchical mixture model for curve partitioning. Biometrics, 62, 515-526, Bugs Code
  70. Gordian, M.E., Haneuse, S. and Wakefield, J. (2006). An investigation of the association between traffic exposure and the diagnosis of asthma. Journal of Exposure Science and Environmental Epidemiology, 16, 49-55.
  71. Hawkins, N., Self, S. and Wakefield, J (2006). The automated counting of spots for the ELISpot assay. Journal of Immunological Methods, 316, 52-58.Paper can be found here.


  72. Whitaker, H., Best. N., Nieuwenhuijsen, M., Wakefield, J., Fawell, J. and Elliott, P. (2005). Modelling exposure to disinfection by-products in drinking water for an epidemiological study of adverse birth outcomes. Journal of Exposure Analysis and Environmental Epidemiology, 15, 138-146.
  73. Dabney, A. and Wakefield, J.C. (2005). Issues in the mapping of two diseases. Statistical Methods in Medical Research, 14, 83-112.alan.pdf
  74. Salway, R. and Wakefield, J.C. (2005). Sources of bias in ecological studies of non-rare events. Environmental and Ecological Statistics, 12, 321-347.eesruth.pdf


  75. Bottle, R.A. and Wakefield, J.C. (2004). Statistical issues in relation to the modeling of respiratory disease in relation to cokeworks. Statistics in Medicine, 23, 3139-3158. alex.pdf
  76. Wakefield, J. (2004). Ecological inference for 2x2 tables (with discussion). Journal of the Royal Statistical Society, Series A, 167, 385-445. read.pdf. Data can be found here.
  77. Wakefield, J. (2004). A critique of statistical aspects of ecological studies in spatial epidemiology. Environmental and Ecological Statistics, 11, 31-54. ees.pdf


  78. Wakefield, J., Zhou, C. and Self, S. (2003). Modelling gene expression over time: curve clustering with informative prior distributions. Bayesian Statistics 7, Proceedings of the Seventh Valencia International Meeting, p. 721-732, Bernardo, J.M., Bayarri, M.J., Berger, J.O., Dawid, A.P., Heckerman, Smith, A.F.M., West, M. (editors), Oxford University Press. newval.pdf
  79. Wakefield, J. (2003). Sensitivity analyses for ecological regression. Biometrics, 59, 9-17. biometrics.pdf
  80. Hickman, M., Madden, P., Henry, J., Baker, A., Wallace, C., Wakefield, J., Stimson, G. and Elliott, P. (2003). Trends in drug overdose deaths in England and Wales 1993-98: methadone does not kill more people than heroin. Addiction, 98, 41-425.


  81. Guthrie, K.A., Sheppard, L. and Wakefield, J. (2002). A hierarchical aggregate data model with spatially correlated disease rates. Biometrics, 58, 898-905. biomkath.pdf
  82. Kelsall, J.E. and Wakefield, J.C. (2002). Modeling spatial variation in disease risk: A geostatistical approach. Journal of the American Statistical Association, 97, 692-701.
  83. Shaddick, G. and Wakefield, J. (2002). Modelling multivariate pollutant data at multiple sites. Applied Statistics, 51, 351-372. appliedstats.pdf
  84. Lunn, D.J., Best, N., Thomas, A., Wakefield, J. and Spiegelhalter, D. (2002). Bayesian analysis of population PK/PD models: General concepts and software. Journal of Pharmacokinetics and Pharmacodynamics, 29, 271-307.
  85. Jarup, L., Toledano, M.B., Best, N., Wakefield, J., Elliott P. (2002). Geographical epidemiology of prostate cancer in Great Britain. International Journal of Epidemiology, 97, 695-699.
  86. Jarup, L., Briggs, D., de Hoogh, C., Morris, S., Hurt, C., Lewin, A., Maitland, I., Richardson, S., Wakefield, J., Elliott, P. (2002). Cancer risks in populations living near landfill sites in Great Britain, British Journal of Cancer, 86, 1732-1736.


  87. Lunn, D.J., Wakefield, J.C. and Racine, A. (2001). Cumulative logit models for ordinal data: a case study involving allergic rhinitis severity scores. Statistics in Medicine, 20, 2261-2285.
  88. Elliott, P., Briggs,D., Morris, S., de Hoogh, C., Hurt, C., Jensen, T., Maitland, I., Richardson, S., Wakefield, J. and Jarup, L. (2001) Risk of adverse birth outcomes in populations living near landfill sites. British Medical Journal, 323, 363-368.
  89. Bennett, J.E. and Wakefield, J.C. (2001) Errors-in-variables in joint population pharmacokinetic/pharmacodynamic modeling. Biometrics, 57, 803-812.
  90. Aylin, P., Bottle, A., Wakefield, J., Jarup, L., Elliott, P. (2001). Proximity to coke works and hospital admissions for respiratory and cardiovascular disease in England and Wales. Thorax, 56, 228-233.
  91. Wakefield, J.C. and Morris, S.E. (2001). The Bayesian modeling of disease risk in relation to a point source. Journal of the American Statistical Association, 96, 77-91.
  92. Elliott, P. and Wakefield, J. (2001). Disease clusters: should they be investigated, and if so, when and how? Journal of the Royal Statistical Society, Series A, 164, 3-12.
  93. Wakefield, J. and Salway, R. (2001). A statistical framework for ecological and aggregate studies. Journal of the Royal Statistical Society, Series A, 164, 119-137.
  94. Aylin, P., Morris, S., Wakefield, J., Grossinho, A., Jarup, L., Elliott, P. (2001). Temperature, housing, deprivation and their relationship to excess winter mortality in Great Britain, 1986-1996. International Journal of Epidemiology, 30, 1100-1108.
  95. Best, N., Cockings, S., Bennett, J., Wakefield, J. and Elliott, P. (2001). Ecological regression analysis of environmental benzene exposure and childhood leukemia: sensitivity to data inaccuracies, geographical scale and ecological bias. Journal of the Royal Statistical Society, Series A, 164, 155-174.
  96. Toledano, M., Jarup, L., Best, N., Wakefield, J.C, Elliott P. (2001). Spatial and temporal trends of testicular cancer in Great Britain. British Journal of Cancer, 84, 1482-1487.


  97. Pascutto, C., Wakefield, J., Best, N., Bernardinelli, L., Elliott, P., Richardson, S. and Staines, A. (2000). Statistical issues in the analysis of disease mapping data. Statistics in Medicine, 19, 2493-2519.
  98. Wakefield, J.C. and Rahman, N. (2000). The combination of population pharmacokinetic studies. Biometrics, 56, 263-270.
  99. Morris, S.E., Sale, R., Wakefield, J.C., Falconer, S., Elliott, P. and Boucher, B.J. (2000). Hospital admissions for asthma and chronic obstructive airways disease in east London hospitals and proximity to major roads. Journal of Epidemiology and Community Health, 54, 75-76.
  100. Elliott, P., Arnold, R., Cockings, S., Eaton, N., Jarup, L., Jones, J., Quinn, M., Rosato, M., Thornton, I., Toledano, M., Tristan, E., Wakefield, J. (2000). Risk of mortality, cancer incidence and stroke in a population potentially exposed to cadmium. Occupational and Environmental Medicine, 57, 94-97.
  101. Diggle, P.J., Morris, S.E. and Wakefield, J.C. (2000). Point source modelling using matched case-control data. Biostatistics, 1, 89-105.


  102. Pauler, D.K., Wakefield, J.C. and Kass, R.E. (1999). Bayes factors for variance component models. Journal of the American Statistical Association, 94, 1242-1253.
  103. Wakefield, J.C. and Morris, S.E. (1999). An application of spatial errors-in-variables modelling: investigating the relationship between ischaemic heart disease and water constituents. Bayesian Statistics 6, Proceedings of the Sixth Valencia International Meeting, Bernardo, J.M., Berger, J.O., Dawid, A.P. and Smith, A.F.M. (editors), p. 657-684, Oxford University Press.
  104. Sheiner, L. and Wakefield, J. (1999), Population modelling in drug development, Statistical Methods in Medical Research, 8, 183-193.
  105. Rahman, N.J., Wakefield, J.C., Stephens, D.A. and Falcoz, C. (1999), Parameter estimation, model adequacy and assessment of dose proportionality for pivotal pharmacokinetic study, Statistical Methods in Medical Research, 8, 195-216.
  106. Best, N.G. and Wakefield, J.C. (1999). Accounting for inaccuracies in populations counts and case registration in cancer mapping studies. Journal of the Royal Statistical Society, Series A, 162, 363-382.
  107. Wakefield, J.C. and Elliott, P. (1999). Issues in the statistical analysis of small-area health data. Statistics in Medicine, 18, 2377-2399.
  108. Aylin P, Maheswaran R, Wakefield J, Cockings S, Jarup L, Arnold R, Wheeler G, Elliott P. (1999). A national facility for small area disease mapping and rapid initial assessment of apparent disease clusters around a point source: the UK Small Area Health Statistics Unit. Journal of Public Health Medicine, 21, 289-98.
  109. Damien, P., Wakefield, J.C. and Walker, S.G. (1999). Gibbs sampling for Bayesian nonconjugate and hierarchical models using auxiliary variables. Journal of the Royal Statistical Society, Series B, 61, 331-344.
  110. Maheswaran, R., Morris, S.E., Falconer, S., Grossinho, A., Wakefield, J.C. and Elliott, P. (1999). Magnesium in drinking water supplies and mortality from acute myocardial infarction in North West England. Heart, 82, 455-460.


  111. Racine-Poon, A. and Wakefield, J.C. (1998). Statistical methods for population pharmacokinetic modelling, Statistical Methods in Medical Research, 7, 63-84.
  112. Walker, S.G. and Wakefield, J.C. (1998). Population models with a nonparametric random coefficient distribution. Sankhya, Series B, 60, 196-212.
  113. Wakefield, J.C. (1998). The United Kingdom Small Area Health Statistics Unit. Journal of Japan Society for Atmospheric Environment, 33, A60-A66.


  114. Wakefield, J.C. and Walker, S.G. (1997). Bayesian nonparametric population models: formulation and comparison with likelihood approaches. Journal of Pharmacokinetics and Biopharmaceutics, 25, 235-253.
  115. Bennett, J.E., Wakefield, J.C. and Lacey, L.F. (1997). Modelling of trough plasma bismuth concentrations. Journal of Pharmacokinetics and Biopharmaceutics, 25, 79-106.
  116. Wakefield, J.C. and Walker, S.G. (1997). A population approach to initial dose selection. Statistics in Medicine, 16, 1135-1149.


  117. Walker, S.G. and Wakefield, J.C. (1996). Bayesian approaches to the population modelling of a monotonic dose-response relation. Bayesian Statistics 5, Proceedings of the Sixth Valencia International Meeting, Bernardo, J.M., Berger, J.O., Dawid, A.P. and Smith, A.F.M. (editors), Oxford University Press.
  118. Wakefield, J.C. (1996). The Bayesian approach to population pharmacokinetic models. Journal of the American Statistical Association, 91, 61-76.
  119. Wakefield, J.C. (1996). Bayesian individualization via sampling-based methods. Journal of Pharmacokinetics and Biopharmaceutics, 24, 103-131.


  120. Wakefield, J.C. and Racine-Poon, A. (1995). An application of Bayesian population pharmacokinetic/ pharmacodynamic models to dose recommendation, Statistics in Medicine, 14, 971-986.
  121. Smith, A.F.M. and Wakefield, J.C. (1994). The hierarchical Bayesian approach to population pharmacokinetic modelling. International Journal of Bio-Medical Computing, 36, 35-42.
  122. Wakefield, J.C. (1994). An expected loss approach to the design of dosage regimens via sampling-based methods. The Statistician, 43, 13-29.
  123. Wakefield, J.C., Smith, A.F.M., Racine-Poon, A. and Gelfand, A.E. (1994). Bayesian analysis of linear and non-linear population models using the Gibbs sampler. Applied Statistics, 43, 201-221.
  124. Wakefield, J. C., Gelfand, A. E. and Smith, A. F. M. (1991). Efficient generation of random variates via the ratio-of-uniforms method. Statistics and Computing, 1, 129-133.
  125. Wakefield, J. C., Skene, A. M., Smith, A. F. M. and Evett, I. W. (1991). The evaluation of fibre transfer evidence in forensic science: a case study in statistical modelling. Applied Statistics, 40, 461-476.
  126. Skene, A. M., and Wakefield, J. C. (1990). Hierarchical models for multi-centre binary response studies. Statistics in Medicine, 9, 919-929.