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Publications
Webster-Clark M, Sturmer T, Wang T, Man K, Marinac‐Dabic D, Rothman KJ, Ellis AR, Gokhale M, Lunt M, Girman C, Glynn RJ. Using propensity scores to estimate effects of treatment initiation decisions: state of the science. Stat Med. 2021 Mar 30;40(7):1718-35. doi: 10.1002/sim.8866
Prescott G, Sharp P, Goatman K, Scotland G, Fleming A, Philip S, Staff R, Santiago C, Borooah S, Broadbent D, Chong V, Dodson P, Harding S, Leese G, Megaw R, Styles C, Swa K, Wharton H, Olson J. Improving the cost-effectiveness of photographic screening for diabetic macular oedema: a prospective, multi-centre, UK study. Br J Ophthalmol. 2014 Aug 1;98(8):1042-9. doi: 10.1136/bjophthalmol-2013-304338
Oldenburg CE, Sy A, Srinivasan M, Toutain-Kidd CM, Mascarenhas J, Ravindran M, Rajaraman R, Esterberg EJ, Chidambaram JD, Acharya NR, Lietman TM, Zegans ME. Pre-existing blindness in a cohort of patients with bacterial keratitis. Br J Ophthalmol. 2011 Dec;95(11):1612-3. doi: 10.1136/bjophthalmol-2011-300270.
Fleming AD, Goatman KA, Philip S, Williams GJ, Prescott GJ, Scotland GS, McNamee P, Leese GP, Wykes WN, Sharp PF, Olson JA. The role of haemorrhage and exudate detection in automated grading of diabetic retinopathy. Br J Ophthalmol. 2010 Jun 1;94(6):706-11. doi: 10.1136/bjo.2008.149807
Scotland GS, McNamee P, Fleming AD, Goatman KA, Philip S, Prescott GJ, Sharp PF, Williams GJ, Wykes E, Leese GP, Olson JA. Costs and consequences of automated algorithms versus manual grading for the detection of referable diabetic retinopathy. Br J Ophthalmol. 2010 Jun 1;94(6):712-9. doi: 10.1136/bjo.2008.151126.