How vague is vague?: a simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS

Lambert, Paul C., Sutton, Alex J., Burton, Paul R., Abrams, Keith R., Jones, David R.·2005·Statistics in Medicine
DOI 10.1002/sim.2112

Cited by (513)

Items 401–500 of 513

  1. A comparison of statistical methods for the analysis of binary repeated measures data with additional hierarchical structure
    Elmabrok Masaoud, Henrik Stryhn · 2020 · Journal of Statistical Research
  2. How Not to Corrupt Power
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  3. Bayesian inference and impact of parameter prior specification in flexible multilevel nonlinear models in the context of infectious disease modeling
    Olaiya Mathilde Adéoti, Aliou Diop, Romain Glèlè Kakaï · 2025 · Mathematical Biosciences & Engineering
  4. Statistical Methods for Multivariate Meta-Analysis of Diagnostic Tests
    Xiaoye Ma · 2015 · University of Minnesota Digital Conservancy (University of Minnesota)
  5. A Bayesian Meta-Analysis on the Association Between Beta-Carotene and Bone Mineral Density
    Tesfaye Getachew Charkos, Kemal Sherefa Oumer · 2020 · Annals of Data Science
  6. Using Copulas for Bayesian Meta-analysis
    Savita Jain, Suresh Sharma, Kanchan Jain · 2021 · Statistics in Biosciences
  7. Beyond Probabilism and Performance
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  8. Meta‐Analysis Using Bayesian Methods
    2012
  9. Statistical methods for the standardization of diagnostic assays
    Andrea Geistanger · 2007 · Technische Universität Dortmund Eldorado (Technische Universität Dortmund)
  10. Reviews of Books and Teaching Materials
    Reza Ramezan · 2017 · The American Statistician
  11. Intuitive principle-based priors for attributing variance in additive model structures.
    Geir‐Arne Fuglstad, Ingeborg Gullikstad Hem, Alexander Knight, Håvard Rue, Andrea Riebler · 2019 · arXiv (Cornell University)
  12. Objective Bayesian meta-analysis based on generalized multivariate random effects model
    Olha Bodnar, Taras Bodnar · 2021 · arXiv (Cornell University)
  13. Book Reviews
    2009 · Journal of the American Statistical Association
  14. Bayesian inference of spike-timing dependent plasticity learning rules from single neuron recordings in humans
    Ingeborg Gullikstad Hem, Debora Ledergerber, Claudia Battistin, Benjamin Adric Dunn · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  15. An exploration of evidence synthesis methods for adverse events
    Fiona C Warren · 2010 · Figshare
  16. Meta‐analysis and multilevel models
    Peter Douglas Congdon · 2014 · Wiley series in probability and statistics
  17. Optimising service organisation for stroke patients
    Lindsay Govan · 2009 · Enlighten: Theses (The University of Glasgow)
  18. Bayesian Approaches for Synthesising Evidence in Health Technology Assessment
    Catherine Elizabeth McCarron · 2011 · MacSphere (McMaster University)
  19. Multi‐Parameter Evidence Synthesis
    Nicky J. Welton, Alex J. Sutton, Nicola J. Cooper, Keith R. Abrams, Anthony E. Ades · 2012
  20. Contribution of Informed Reference Prior Using Primary and Summary Measure Data in Bayesian Meta-Analysis
    Most Sifat Muntaha Soni, M. Belal Hossain · 2015 · Dhaka University Journal of Science
  21. COMBINING INDIVIDUAL PARTICIPANT DATA AND SUMMARY STATISTICS FROM BOTH CONTINUOUSLY VALUED AND BINARY VARIABLES TO ESTIMATE REGRESSION PARAMETERS
    Lyle C. Gurrin, Lidija Turkovic · 2012 · Australian & New Zealand Journal of Statistics
  22. Modelling Complexity and Uncertainty in Fisheries Stock Assessment
    D’Arcy N. Webber · 2015
  23. Simulation Study on the Impact of Direct Meta-Analysis Methods on Health Economic Outcomes
    Pepijn VemerMaiwenn, J. AlMark, Maureen Rutten‐van Mölken · 2013
  24. Primer on Statistical Interpretation or Methods Bayesian Hierarchical Modeling and the Integration of Heterogeneous Information on the Effectiveness of Cardiovascular Therapies
    Heemun Kwok · 2016
  25. Hierarchical Random-Effect Meta-Analysis of Binary Events Investigating the Relation between Treatment Effect and Underlying Risk
    Jingjing Yan · 2014 · OhioLink ETD Center (Ohio Library and Information Network)
  26. Bayesian model criticism: prior sensitivity of the posterior predictive checks method
    Allison Jennifer Ames · 2015 · NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)
  27. Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros // A note on a Bayesian procedure for meta-analysis of rare data
    Miguel Ángel Negrín, María del Carmen Martel Escobar, Francisco José Vázquez Polo · 2015 · RIO (Universidad Pablo de Olavide)
  28. [Continuation of medical care for home care patients with intractable neurological diseases].
    Kenji Kubota · 2007 · PubMed
  29. STATISTICAL AND GRAPHICAL EVIDENCE SYNTHESIS METHODS IN HEALTH TECHNOLOGY ASSESSMENT
    Sze Huey Tan · 2016 · Leicester Research Archive (University of Leicester)
  30. Bayesian Approach to Evidence Synthesis
    Francisco José Vázquez Polo, Miguel Ángel Negrín, María del Carmen Martel Escobar · 2016 · Springer eBooks
  31. Validation and Confirmation of Associations
    John P. A. Ioannidis · 2008 · CRC Press eBooks
  32. Is there a Place for Bayesian Statistics in Communication Research
    Jens Vogelgesang, Michael Scharkow · 2009
  33. Mix and match. A simulation study on the impact of mixed-treatment comparison methods on health-economic outcomes
    Pepijn Vemer, Maiwenn Al, Mark Oppe, Maureen Rutten‐van Mölken · 2017 · PLoS ONE
  34. Modelos mistos para respostas positivas aumentadas em zero
    Claudia Akemy Koda · 2016
  35. Œsophagectomie chez les patients atteints de cirrhose : revue systématique de la littérature et méta-analyse bayésienne
    Emanuele Asti, Marco Sozzi, Gianluca Bonitta, Daniele Tiziano Bernardi, Luigi Bonavina · 2018 · Journal de Chirurgie Viscérale
  36. Comparison of Heterogeneity and Heterogeneity Interval Estimators in Random-Effects Meta-Analysis
    Peter Boedeker · 2018
  37. Characterizing and responding to uncertainty in climate change
    Derek M Lemoine · 2011 · eScholarship (California Digital Library)
  38. A Comparative Study on Methods for Measuring Heterogeneity in Binomial Proportion – Meta Analytic Approach
    Shor Al · 2018 · International Journal of Computational and Theoretical Statistics
  39. Label-invariant models for the analysis of meta-epidemiological data
    Kirsty M. Rhodes, David Mawdsley, Rebecca Turner, Hayley E. Jones, Jelena Savović, Julian P. T. Higgins · 2017 · arXiv (Cornell University)
  40. The Myth of “The Myth of Objectivity”
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  41. Valoración de la estabilidad y el rendimiento de modelos bayesianos en meta-análisis de pruebas diagnósticas, basada en estudios de simulación
    Sergio A. Bauz-Olvera · 2019
  42. Bayesian analysis of fuel economy experiments
    Mohammad Lutfor Rahman, Steven G. Gilmour, Peter J. Zemroch, Pauline R. Ziman · 2020 · Journal of Statistical Research
  43. Falsification, Pseudoscience, Induction
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  44. Making the most of a few small population clinical trials
    Konstantinos Pateras · 2020
  45. The analysis of data from on-farm research network: Statistical approaches to test the efficacy of management practices and data visualization
    Anabelle Laurent · 2020
  46. Induction and Confirmation
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  47. Pragmatic and Error Statistical Bayesians
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  48. What Ever Happened to Bayesian Foundations?
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  49. Modelos Birnbaum-Saunders mistos aumentados em zero
    Elainy Marciano Batista · 2018
  50. References
    Sofia Dias, Anthony E. Ades, Nicky J. Welton, Jeroen Paul Jansen, Alex J. Sutton · 2018 · Wiley eBooks
  51. References
    2010 · Chapman & Hall/CRC eBooks
  52. References
    Richard D Riley, Jayne F. Tierney, Lesley A. Stewart · 2021 · Wiley eBooks
  53. References
    Richard D Riley, Jayne F. Tierney, Lesley A. Stewart · 2021 · Wiley eBooks
  54. Bayesian Spatiotemporal Modeling and Mapping of Infectious Diseases
    I Gede Nyoman Mindra Jaya · 2022
  55. Bayesian Random-Effects Meta-Analysis Models in Gene Expression Studies
    Umaporn Siangphoe · 2022 · IntechOpen eBooks
  56. Estimation Parameters of Dependence Meta-Analytic Model: New Techniques for the Hierarchical Bayesian Model
    Junaidi Junaidi, Darfiana Nur, Irene L. Hudson, Elizabeth Stojanovski · 2022 · Computation
  57. Peer Review #1 of "The implementation of rare events logistic regression to predict the distribution of mesophotic hard corals across the main Hawaiian Islands (v0.1)"
    2016 · PeerJ
  58. Peer Review #2 of "The implementation of rare events logistic regression to predict the distribution of mesophotic hard corals across the main Hawaiian Islands (v0.1)"
    2016 · PeerJ
  59. Other Topics
    Sandra M Eldridge, Sally Kerry · 2012
  60. Méta-analyses sur données individuelles d’essais randomisés dans les cancers des voies aéro-digestives supérieures. Développements méthodologiques et cliniques
    Pierre Blanchard · 2013 · HAL
  61. Network Meta-analysis
    Georgia Salanti, Deborah M Caldwell, Anna Chaimani, Julian P. T. Higgins · 2017 · Health services research
  62. Network Meta-analysis
    Georgia Salanti, Deborah M Caldwell, Anna Chaimani, Julian P. T. Higgins · 2019 · Health services research
  63. Reviews of Books and Teaching Materials
    2014 · The American Statistician
  64. References
    2010 · Elsevier eBooks
  65. Peer Review #3 of "The implementation of rare events logistic regression to predict the distribution of mesophotic hard corals across the main Hawaiian Islands (v0.1)"
    2016 · PeerJ
  66. Meta‐Analysis
    Stephen John Senn · 2021
  67. Peer Review #2 of "The implementation of rare events logistic regression to predict the distribution of mesophotic hard corals across the main Hawaiian Islands (v0.2)"
    2016 · PeerJ
  68. Detection of outlying studies and influence diagnostics for Bayesian meta-analysis
    Yuta Hamaguchi, Yuki Matsushima, Hisashi Noma · 2021 · Japanese Journal of Biometrics
  69. An Empirical Bayesian Approach for Calibrating Long-Term District-Scale Building Energy Consumption for Heating
    Wei NA, Xiaoke Zhang, Pinyan Liu, Xinyi Zhao, Yang Cao · 2022 · SSRN Electronic Journal
  70. Power: Pre-data and Post-data
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  71. Rejection Fallacies: Who’s Exaggerating What?
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  72. More Auditing: Objectivity and Model Checking
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  73. Souvenirs
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  74. Ingenious and Severe Tests
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  75. Error Probing Tools versus Logics of Evidence
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  76. Auditing: Biasing Selection Effects and Randomization
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  77. Capability and Severity: Deeper Concepts
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  78. It’s The Methods, Stupid
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  79. Preface
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  80. Deconstructing the N-P versus Fisher Debates
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  81. Index
    Deborah G. Mayo · 2018 · Cambridge University Press eBooks
  82. Abrocitinib (Cibinqo)
    CADTH · 2023 · Canadian Journal of Health Technologies
  83. Modelling Complexity and Uncertainty in Fisheries Stock Assessment
    D’Arcy N. Webber · 2015
  84. A Bayesian approach to clinical trial designs in dermatology with multiple simultaneous treatments per subject and multiple raters
    Lorenz Uhlmann, Christian Stock, Marc Vandemeulebroecke, Christine Müller‐Christmann, Meinhard Kieser · 2023 · Contemporary Clinical Trials
  85. nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros
    Miguel Ángel Negrín, María del Carmen Martel Escobar, Francisco José Vázquez Polo · 2016 · Revista de Métodos Cuantitativos para la Economía y la Empresa
  86. A simulation study to assess the impact missing values on the performance of different statistical methods for analysis of binary repeated measures data with an additional hierarchical structure
    Elmabrok Masaoud, Henrik Stryhn · 2024 · Journal of Statistical Research
  87. ra4bayesmeta: Reference Analysis for Bayesian Meta-Analysis
    Manuela Ott, Małgorzata Roos · 2021
  88. Bibliography
    2024 · Elsevier eBooks
  89. Everything, altogether, all at once: Addressing data challenges when measuring speech intelligibility through entropy scores
    José Manuel Rivera Espejo, Sven De Mæyer, Steven A. Gillis · 2024 · Behavior Research Methods
  90. Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples
    Soo‐Yong Lee, Adam Sales, Hyeon‐Ah Kang, Tiffany A. Whittaker · 2024 · Structural Equation Modeling A Multidisciplinary Journal
  91. Bayesian Spatial Relative Survival Model to Estimate the Loss in Life Expectancy and Crude Probability of Death for Cancer Patients
    Yuliya Leontyeva, Yuxin Huang, Susanna M. Cramb, Jessica Katherine Cameron, Peter David Baade, Kerrie Lee Mengersen, Helen Thompson · 2025 · Statistics in Medicine
  92. Class Enumeration and Parameter Bias in Growth Mixture Models with Misspecified Time-Varying Covariates: A Monte Carlo Simulation Study
    Jayme M. Palka · 2020
  93. A New Frequentist Implementation of the Daniels and Hughes Bivariate Meta‐Analysis Model for Surrogate Endpoint Evaluation
    Dan Jackson, Michael J. Sweeting, Robbie C. M. van Aert, Sylwia Bujkiewicz, Keith R. Abrams, Wolfgang Viechtbauer · 2025 · Biometrical Journal
  94. Use of Common Control Arms Across Substudies in a Master Protocol via Ridge Estimation
    Akinori Nimura, Tosiya Shun Sato · 2025 · Statistics in Biopharmaceutical Research
  95. Bayesian Cost-Effectiveness Analysis Using Individual-Level Data is Sensitive to the Choice of Uniform Priors on the Standard Deviations for Costs in Log-Normal Models
    Xiao-Xiao Ling, Andrea Gabrio, Gianluca Baio · 2025 · PharmacoEconomics
  96. Additional file 3 of Effects of β-carotene intake on the risk of fracture: a Bayesian meta-analysis
    Tesfaye Getachew Charkos, Liu, Yawen, Kemal Sherefa Oumer, Ann M. Vuong, Yang, Shuman · 2020 · Figshare
  97. Additional file 1 of Effects of β-carotene intake on the risk of fracture: a Bayesian meta-analysis
    Tesfaye Getachew Charkos, Liu, Yawen, Kemal Sherefa Oumer, Ann M. Vuong, Shuman Yang · 2020 · Figshare
  98. Additional file 2 of Effects of β-carotene intake on the risk of fracture: a Bayesian meta-analysis
    Tesfaye Getachew Charkos, Liu, Yawen, Kemal Sherefa Oumer, Ann M. Vuong, Yang, Shuman · 2020 · Figshare
  99. Additional file 1 of Safety of pharmacologic interventions for neuropsychiatric symptoms in dementia: a systematic review and network meta-analysis
    Watt, Jennifer A., Zahra Goodarzi, Areti Angeliki Veroniki, Vera Nincic, Paul A. Khan, Marco Ghassemi, Thompson, Yuan, Yonda Lai, Victoria Treister, Tricco, Andrea C. et al. · 2020 · Figshare
  100. Bank branch efficiency with a Bayesian lens on technological heterogeneity
    Idaira Cabrera‐Suárez, Jorge V. Pérez-Rodríguez, José María Pérez-Sánchez, Miguel Ángel Negrín · 2026 · International Review of Economics & Finance