Feasibility of in-home monitoring for people with glaucoma: the I-TRAC mixed-methods study.
Stewart C, Wu H, Alagappan U, Azuara-Blanco A, King AJ, Tatham AJ, Hernández R, Lowe B, Shotton D, Appiah N, Coffey T, Vadiveloo T, MacLennan G, Gillies K.
Health Technol Assess. 2024 Aug;28(44):1-163. doi: 10.3310/GTWD6802.
PMID:39248430
Deep Learning Application to Detect Glaucoma with a Mixed Training Approach: Public Database and Expert-Labeled Glaucoma Population.
Cellini F, Caamaño D, Carrasco B, Juberías JR, Ossa C, Bringas R, de la Fuente F, Franco P, Coronado D, Pastor JC.
Frequency of Visual Fields Needed to Detect Glaucoma Progression: A Computer Simulation Using Linear Mixed Effects Model.
Sabouri S, Haem E, Masoumpour M, Vermeer KA, Lemij HG, Yousefi S, Pourahmad S.
J Glaucoma. 2023 May 1;32(5):355-360. doi: 10.1097/IJG.0000000000002155. Epub 2023 Mar 30.
PMID:37054400
Mixed treatment comparison of repeated measurements of a continuous endpoint: an example using topical treatments for primary open-angle glaucoma and ocular hypertension.
Dakin HA, Welton NJ, Ades AE, Collins S, Orme M, Kelly S.