Jonathan C Wakefield

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. ncbi request reprint Ecologic studies revisited
    Jonathan Wakefield
    Department of Statistics and Biostatistics, University of Washington, Seattle, WA 98195, USA
    Annu Rev Public Health 29:75-90. 2008
  2. pmc A Bayesian measure of the probability of false discovery in genetic epidemiology studies
    Jon Wakefield
    Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
    Am J Hum Genet 81:208-27. 2007
  3. doi request reprint Overcoming ecologic bias using the two-phase study design
    Jon Wakefield
    Department of Statistics, University of Washington, Seattle, WA 98195 7232, USA
    Am J Epidemiol 167:908-16. 2008
  4. ncbi request reprint Bayes factors for genome-wide association studies: comparison with P-values
    Jon Wakefield
    Department of Statistics, University of Washington, Box 357232, Seattle, Washington 98195 7232, USA
    Genet Epidemiol 33:79-86. 2009
  5. ncbi request reprint Bayesian methods for examining Hardy-Weinberg equilibrium
    Jon Wakefield
    Department of Statistics, University of Washington, Box 357232, Seattle, Washington 98195 7232, USA
    Biometrics 66:257-65. 2010
  6. ncbi request reprint Disease mapping and spatial regression with count data
    Jon Wakefield
    Departments of Statistics and Biostatistics, University of Washington, Seattle, WA 98195 7232, USA
    Biostatistics 8:158-83. 2007
  7. ncbi request reprint Health-exposure modeling and the ecological fallacy
    Jon Wakefield
    Department of Statistics, University of Washington, Seattle, WA, USA
    Biostatistics 7:438-55. 2006
  8. pmc Bayesian mixture modeling of gene-environment and gene-gene interactions
    Jon Wakefield
    International Agency for Research on Cancer, Lyon, France
    Genet Epidemiol 34:16-25. 2010
  9. doi request reprint Reporting and interpretation in genome-wide association studies
    Jon Wakefield
    Departments of Statistics and Biostatistics, University of Washington, Seattle, USA
    Int J Epidemiol 37:641-53. 2008
  10. ncbi request reprint A Bayesian mixture model for partitioning gene expression data
    Chuan Zhou
    Department of Biostatistics, S 2323 MCN, Vanderbilt University, Nashville, Tennessee 37232 2158, USA
    Biometrics 62:515-25. 2006

Research Grants

  1. Spatio-Temporal Epidemiology: Methods and Applications
    Jonathan Wakefield; Fiscal Year: 2005
  2. Spatio-Temporal Epidemiology: Methods and Applications
    Jonathan Wakefield; Fiscal Year: 2006
  3. Spatio-Temporal Epidemiology: Methods and Applications
    Jonathan Wakefield; Fiscal Year: 2007

Detail Information

Publications18

  1. ncbi request reprint Ecologic studies revisited
    Jonathan Wakefield
    Department of Statistics and Biostatistics, University of Washington, Seattle, WA 98195, USA
    Annu Rev Public Health 29:75-90. 2008
    ....
  2. pmc A Bayesian measure of the probability of false discovery in genetic epidemiology studies
    Jon Wakefield
    Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
    Am J Hum Genet 81:208-27. 2007
    ..Finally, we use BFDP to assess the association between 131 single-nucleotide polymorphisms and lung cancer in a case-control study...
  3. doi request reprint Overcoming ecologic bias using the two-phase study design
    Jon Wakefield
    Department of Statistics, University of Washington, Seattle, WA 98195 7232, USA
    Am J Epidemiol 167:908-16. 2008
    ..This example shows that the two-phase design removes ecologic bias and produces gains in efficiency over the use of case-control data alone. The authors discuss the advantages and disadvantages of the approach...
  4. ncbi request reprint Bayes factors for genome-wide association studies: comparison with P-values
    Jon Wakefield
    Department of Statistics, University of Washington, Box 357232, Seattle, Washington 98195 7232, USA
    Genet Epidemiol 33:79-86. 2009
    ..A consequence is that a consistent decision-making procedure using P-values requires a threshold for significance that reduces with sample size, contrary to common practice...
  5. ncbi request reprint Bayesian methods for examining Hardy-Weinberg equilibrium
    Jon Wakefield
    Department of Statistics, University of Washington, Box 357232, Seattle, Washington 98195 7232, USA
    Biometrics 66:257-65. 2010
    ..For large numbers of alleles at a locus we resort to Markov chain Monte Carlo. We discuss a number of possibilities for prior specification, and apply the suggested methods to a number of real datasets...
  6. ncbi request reprint Disease mapping and spatial regression with count data
    Jon Wakefield
    Departments of Statistics and Biostatistics, University of Washington, Seattle, WA 98195 7232, USA
    Biostatistics 8:158-83. 2007
    ....
  7. ncbi request reprint Health-exposure modeling and the ecological fallacy
    Jon Wakefield
    Department of Statistics, University of Washington, Seattle, WA, USA
    Biostatistics 7:438-55. 2006
    ..We conclude that the use of the proposed model can provide valid inference, but the use of estimated exposures should be carried out with great caution...
  8. pmc Bayesian mixture modeling of gene-environment and gene-gene interactions
    Jon Wakefield
    International Agency for Research on Cancer, Lyon, France
    Genet Epidemiol 34:16-25. 2010
    ..We illustrate the methods first using simulation, and then on data from a case-control study of lung cancer in Central and Eastern Europe...
  9. doi request reprint Reporting and interpretation in genome-wide association studies
    Jon Wakefield
    Departments of Statistics and Biostatistics, University of Washington, Seattle, USA
    Int J Epidemiol 37:641-53. 2008
    ..In the context of genome-wide association studies we critique a number of methods that have been suggested for flagging associations for further investigation...
  10. ncbi request reprint A Bayesian mixture model for partitioning gene expression data
    Chuan Zhou
    Department of Biostatistics, S 2323 MCN, Vanderbilt University, Nashville, Tennessee 37232 2158, USA
    Biometrics 62:515-25. 2006
    ..We first examine the behavior of the model on simulated data, along with a comparison with more conventional approaches, and then analyze meiotic expression data collected over time on fission yeast genes...
  11. ncbi request reprint A hierarchical aggregate data model with spatially correlated disease rates
    Katherine A Guthrie
    Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, Washington 98109, USA
    Biometrics 58:898-905. 2002
    ..Based on the results of simulation studies, we suggest guidelines for use of the proposed model...
  12. ncbi request reprint Hierarchical models for combining ecological and case-control data
    Sebastien J P A Haneuse
    Center for Health Studies, Group Health Cooperative, Seattle, Washington 98101, USA
    Biometrics 63:128-36. 2007
    ..The methods are illustrated with a dataset of county-specific infant mortality data from the state of North Carolina...
  13. doi request reprint Bayesian mixture modeling using a hybrid sampler with application to protein subfamily identification
    Youyi Fong
    Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
    Biostatistics 11:18-33. 2010
    ..We illustrate our method using 2 sets of real protein sequences...
  14. ncbi request reprint Sensitivity analyses for ecological regression
    Jon Wakefield
    Department of Statistics, University of Washington, Seattle, Washington 98195 7232, USA
    Biometrics 59:9-17. 2003
    ..It is argued that the sophistication of the statistical analysis should not outweigh the quality of the data, and that finessing models for spatial dependence will often not be merited in the context of ecological regression...
  15. pmc The automated counting of spots for the ELISpot assay
    Natalie Hawkins
    Fred Hutchinson Cancer Research Center, Statistical Center for HIV Aids Research and Prevention, 1100 Fairview Avenue, LE 400, Seattle, WA 98109, USA
    J Immunol Methods 316:52-8. 2006
    ..An illustrative application to data from a study of the reactivity of T-cells from healthy human subjects to a pool of immunodominant peptides from CMV, EBV and flu is presented...
  16. pmc Bayesian inference for generalized linear mixed models
    Youyi Fong
    Department of Biostatistics, University of Washington, Seattle, WA 98112, USA
    Biostatistics 11:397-412. 2010
    ..As with likelihood-based approaches, great care is required in the analysis of clustered binary data since approximation strategies may be less accurate for such data...
  17. pmc Spatial clustering of myelodysplastic syndromes (MDS) in the Seattle-Puget Sound region of Washington State
    Michelle E Ross
    Department of Biostatistics, University of Washington, Seattle, WA, USA
    Cancer Causes Control 21:829-38. 2010
    ..In this investigation, we described small-scale incidence patterns of MDS within the Seattle-Puget Sound region from 2002 to 2006 and identified potential spatial clusters to inform planning of future studies of MDS etiology...
  18. pmc Long-term associations of outdoor air pollution with mortality in Great Britain
    Paul Elliott
    Small Area Health Statistics Unit, Department of Epidemiology and Public Health, Faculty of Medicine, St Mary s Campus, Imperial College London, Norfolk Place, London W2 1PG, UK
    Thorax 62:1088-94. 2007
    ..Recent studies have indicated long-term effects on mortality of particulate and sulphur dioxide (SO(2)) pollution, but uncertainties remain over the size of any effects, potential latency and generalisability...

Research Grants4

  1. Spatio-Temporal Epidemiology: Methods and Applications
    Jonathan Wakefield; Fiscal Year: 2005
    ..S. cancer incidence and mortality data, and Washington State small-area cancer incidence data. Developed methods will be made available to researchers via implementation within freely-available software. ..
  2. Spatio-Temporal Epidemiology: Methods and Applications
    Jonathan Wakefield; Fiscal Year: 2006
    ..S. cancer incidence and mortality data, and Washington State small-area cancer incidence data. Developed methods will be made available to researchers via implementation within freely-available software. ..
  3. Spatio-Temporal Epidemiology: Methods and Applications
    Jonathan Wakefield; Fiscal Year: 2007
    ..S. cancer incidence and mortality data, and Washington State small-area cancer incidence data. Developed methods will be made available to researchers via implementation within freely-available software. ..