Chen YW, Ni L, Ospina-Forero L. Visualising internal migration flows across local authorities in England and Wales. EPA. 2021 Jun;53(4):616-8. doi: 10.1177/0308518X20968568
Chen YW, Ni L, Xu DL, Yang JB. Visualising regional disparities in the risk of COVID-19 at different phases of lockdown in England. EPA. 2021 Jan 19;53(5):883-6. doi: 10.1177%2F0308518X20984165
Mansfield C, Sutphin J, Boeri M. Assessing the impact of excluded attributes on choice in a discrete choice experiment using a follow-up question. Health Econ. 2020 Oct;29(10):1307-15. doi: 10.1002/hec.4124
Li W, Zou T, Li L, Deng Y, Sun VT, Zhang Q, Layton B, Setoguchi S. Impacts of the North Atlantic subtropical high on interannual variation of summertime heat stress over the conterminous United States. Clim Dyn. 2019 Sep;53(5-6):3345-59. doi: 10.1007/s00382-019-04708-1
Heidenreich S, Watson V, Ryan M, Phimister E. Decision heuristic or preference? Attribute non-attendance in discrete choice problems. Health Econ. 2018 Jan;27(1):157-71. doi: 10.1002/hec.3524
Tsuchiya A, Watson V. Re-thinking “the different perspectives that can be used when eliciting preferences in health". Health Econ. 2017 Dec;26(12):e103-7. doi: 10.1002/hec.3480
Krucien N, Watson V, Ryan M. Is best-worst scaling suitable for health state valuation? A comparison with discrete choice experiments. Health Econ. 2017 Dec;26(12):e1-e16. doi: 10.1002/hec.3459
Watson V, Becker F, de Bekker-Grob E. Discrete choice experiment response rates: a meta-analysis. Health Econ. 2017 Jun;26(6):810-7. doi: 10.1002/hec.3354
Zarkin GA, Cowell AJ, Hicks KA, Mills MJ, Belenko S, Dunlap LJ, Houser KA, Keyes V. Benefits and costs of substance abuse treatment programs for state prison inmates: results from a lifetime simulation model. Health Econ. 2012 Jun;21(6):633-52.
Zarkin GA, Dunlap LJ, Hicks KA, Mamo D. Benefits and costs of methadone treatment: results from a lifetime simulation model. Health Econ. 2005 Nov 1;14(11):1133-50.