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Mathematics

D-Index
54
Citations
13083
World Ranking
829
National Ranking
404

Research.com Recognitions

  • 2007 - Fellow of the American Statistical Association (ASA)

Overview

Jon Wakefield is affiliated with the University of Washington in the United States. Their research primarily focuses on medicine, with a significant concentration in epidemiology, pediatrics, perinatology and child health, management science and operations research, modeling and simulation, and demography.

The scientist's work addresses a variety of topics, including demographic modeling and climate adaptation, COVID-19 epidemiological studies, global maternal and child health, insurance, mortality, demography, risk management, data-driven disease surveillance, spatial and panel data analysis, and global health care issues.

Wakefield has published extensively in several venues, with frequent contributions appearing in arXiv (Cornell University), The Annals of Applied Statistics, Biometrics, The Lancet, and Statistics in Medicine. Their recent notable papers include:

  • The WHO estimates of excess mortality associated with the COVID-19 pandemic, 2022, Nature
  • Global, regional, and national estimates and trends in stillbirths from 2000 to 2019: a systematic assessment, 2021, The Lancet
  • Estimating global and country-specific excess mortality during the Covid-19 pandemic, 2023, The Annals of Applied Statistics
  • Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa, 2021, Journal of the International AIDS Society
  • What About Equity? Neighborhood Deprivation and Cannabis Retailers in Portland, Oregon, 2020, Cannabis

Frequent collaborators include Serge Aleshin-Guendel, Danzhen You, Hannah Blencowe, Leontine Alkema, and Tracy Qi Dong.

Jon Wakefield was recognized as a Fellow of the American Statistical Association (ASA) in 2007.

Best Publications

  • The WHO estimates of excess mortality associated with the COVID-19 pandemic

    Unknown

  • Spatial epidemiology: methods and applications.

    P. Elliot;J. C. Wakefield;N. G. Best;D. J. Briggs

  • A Bayesian Measure of the Probability of False Discovery in Genetic Epidemiology Studies

    Jon Wakefield

  • Gibbs sampling for Bayesian non‐conjugate and hierarchical models by using auxiliary variables

    Paul Damien;Jon Wakefield;Stephen G Walker

  • Bayes factors for genome‐wide association studies: comparison with P‐values

    Jon Wakefield

  • Disease mapping and spatial regression with count data.

    Jon Wakefield

  • Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler

    J. C. Wakefield;A. F. M. Smith;A. Racine-Poon;A. E. Gelfand

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • Bayesian inference for generalized linear mixed models

    Youyi Fong;Håvard Rue;Jon Wakefield

  • Ecologic Studies Revisited

    Jonathan Wakefield

  • Bayesian approaches to disease mapping

    J. C. Wakefield;N. G. Best;L. Waller

  • Bayesian and Frequentist Regression Methods

    Jon Wakefield

  • Socio-economic status and oesophageal cancer: results from a population-based case–control study in a high-risk area

    Farhad Islami;Farin Kamangar;Dariush Nasrollahzadeh;Dariush Nasrollahzadeh;Karim Aghcheli

  • Ecological inference for 2 × 2 tables

    Jon Wakefield

  • A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data

    Daniel A. Skelly;Marnie Johansson;Jennifer Madeoy;Jon Wakefield

  • The Bayesian Analysis of Population Pharmacokinetic Models

    Jon Wakefield

  • Bayesian analysis of population PK/PD models: general concepts and software.

    David J. Lunn;Nicky Best;Andrew Thomas;Jon Wakefield

  • Modelling daily multivariate pollutant data at multiple sites

    Gavin Shaddick;Jon Wakefield

  • Efficient generation of random variates via the ratio-of-uniforms method

    J. C. Wakefield;A. E. Gelfand;A. F. M. Smith

  • Statistical issues in the analysis of disease mapping data.

    C. Pascutto;J.C. Wakefield;N.G. Best;S. Richardson

  • Model-based geostatistics - Discussion

    Roberta Webster;Andrew Lawson;C Glasbey;G Horgan

Frequent Co-Authors

Paul Elliott
Paul Elliott Imperial College London
Nicky Best
Nicky Best GlaxoSmithKline (United Kingdom)
Lars Jarup
Lars Jarup Imperial College London
Margaret Rosenfeld
Margaret Rosenfeld University of Washington
Paolo Boffetta
Paolo Boffetta Stony Brook Medicine
Sylvia Richardson
Sylvia Richardson University of Cambridge
Joshua M. Akey
Joshua M. Akey Princeton University
Reza Malekzadeh
Reza Malekzadeh Tehran University of Medical Sciences
Paul Brennan
Paul Brennan International Agency For Research On Cancer
Ira M. Longini
Ira M. Longini University of Florida

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