| Prospective study of diagnostic accuracy comparing prostate cancer detection by transrectal ultrasound–guided biopsy versus magnetic resonance (MR) imaging with subsequent MR … MR Pokorny, M De Rooij, E Duncan, FH Schröder, R Parkinson, ... European urology 66 (1), 22-29, 2014 | 626 | 2014 |
| Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference EW Duncan, NM White, K Mengersen International journal of health geographics 16 (1), 1-16, 2017 | 70 | 2017 |
| Bayesian spatial survival models for hospitalisation of Dengue: A case study of Wahidin hospital in Makassar, Indonesia A Aswi, S Cramb, E Duncan, W Hu, G White, K Mengersen International journal of environmental research and public health 17 (3), 878, 2020 | 26 | 2020 |
| Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates EW Duncan, SM Cramb, JF Aitken, KL Mengersen, PD Baade International Journal of Health Geographicsvolume 18 (21), 2019 | 26 | 2019 |
| Evaluating the impact of a small number of areas on spatial estimation A Aswi, S Cramb, E Duncan, K Mengersen International journal of health geographics 19 (1), 1-14, 2020 | 25 | 2020 |
| Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling A Aswi, S Cramb, E Duncan, W Hu, G White, K Mengersen Spatial and spatio-temporal epidemiology 33, 100335, 2020 | 19 | 2020 |
| Detecting Spatial Autocorrelation for a Small Number of Areas: a practical example A Aswi, S Cramb, E Duncan, K Mengersen Journal of Physics: Conference Series 1899 (1), 012098, 2021 | 15 | 2021 |
| Investigation of Bayesian spatial models SM Cramb, EW Duncan, PD Baade, KL Mengersen Cancer Council Queensland and Queensland University of Technology (QUT), 2018 | 14 | 2018 |
| Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under-and over-smoothing EW Duncan, KL Mengersen PloS one 15 (5), e0233019, 2020 | 13 | 2020 |
| Developing a Cancer Atlas using Bayesian methods: a practical guide for application and interpretation EW Duncan, SM Cramb, P Baade, KL Mengersen, T Saunders, JF Aitken Brisbane, Australia: Queensland University of Technology (QUT) and Cancer …, 2019 | 6 | 2019 |
| Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisation EW Duncan, NM White, K Mengersen BMJ open 6 (5), e010253, 2016 | 5 | 2016 |
| Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics F Jahan, EW Duncan, SM Cramb, PD Baade, KL Mengersen International journal of health geographics 19, 1-19, 2020 | 4 | 2020 |
| Spatial Modelling Methods S Cramb, E Duncan, N White, P Baade, K Mengersen Cancer Council Queensland and Queensland University of Technology (QUT), 2016 | 4 | 2016 |
| Augmenting disease maps: a Bayesian meta-analysis approach F Jahan, EW Duncan, SM Cramb, PD Baade, KL Mengersen Royal Society Open Science 7 (8), 192151, 2020 | 3 | 2020 |
| A comparison of Bayesian spatial models for cancer incidence at a small area level: theory and performance S Cramb, E Duncan, P Baade, KL Mengersen Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall …, 2020 | 3 | 2020 |
| 947 A prospective comparison of transrectal ultrasound biopsy with an MRI based diagnostic strategy in men with suspicion of prostate cancer MR Pokorny, L Thompson, R Parkinson, J Barentsz, M De Rooij, ... European Urology Supplements 1 (13), e947, 2014 | 2 | 2014 |
| Geographical patterns in melanoma incidence across Australia: can thickness differentials reveal the key drivers? SM Cramb, EW Duncan, JF Aitken, HP Soyer, KL Mengersen, PD Baade Annals of Cancer Epidemiology 4, Article number: 11, 2020 | 1 | 2020 |
| Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data F Jahan, DW Kennedy, EW Duncan, KL Mengersen PloS one 17 (5), e0268130, 2022 | | 2022 |
| 810 Geographical disparities in diagnosis of myeloproliferative neoplasms in Australia J Cameron, L Fritschi, D Ross, LA Anderson, S Cramb, J Aitken, ... International Journal of Epidemiology 50 (Supplement_1), dyab168. 108, 2021 | | 2021 |
| Augmenting disease maps: a Bayesian meta-analysis approach (vol 9, 192151, 2020) F Jahan, EW Duncan, SM Cramb, PD Baade, KL Mengersen ROYAL SOCIETY OPEN SCIENCE 8 (2), 2021 | | 2021 |
Kerrie MengersenQueensland University of Technology在 qut.edu.au 的电子邮件经过验证
