Romijnders R, Salis F, Hansen C, Kuderle A, Paraschiv-Ionescu A, Cereatti A, Alcock L, Aminian K, Becker C, Bertuletti S, Bonci T, Brown P, Buckley E, Cantu A, Carsin AE, Caruso M, Caulfield B, Chiari L, D'Ascanio I, Del Din S, Eskofier B, Fernstad SJ, Frohlich MS, Garcia Aymerich J, Gazit E, Hausdorff JM, Hiden H, Hume E, Keogh A, Kirk C, Kluge F, Koch S, Mazza C, Megaritis D, Mico-Amigo E, Muller A, Palmerini L, Rochester L, Schwickert L, Scott K, Sharrack B, Singleton D, Soltani A, Ullrich M, Vereijken B, Vogiatzis I, Yarnall A, Schmidt G, Maetzler W. Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Front Nuerol. 2023 Oct 16;14:1247532. doi: 10.3389/fneur.2023.1247532
Hansford HJ, Cashin AG, Jones MD, Swanson SA, Islam N, Douglas SRG, Rizzo RRN, Devonshire JJ, Williams SA, Dahabreh IJ, Dickerman BA, Egger M, Garcia-Albeniz X, Golub RM, Lodi S, Moreno-Betancur M, Pearson SA, Schneeweiss S, Sterne JAC, Sharp MK, Stuart EA, Hernan MA, Lee H, McAuley JH. Reporting of observational studies explicitly aiming to emulate randomized trials: a systematic review. JAMA Netw Open. 2023 Sep 5;6(9):e2336023. doi: 10.1001/jamanetworkopen.2023.36023
Ritchey ME, Jonsson Funk M, Anthony M, Noren GN, Thomas S, Dasgupta N. Promises and perils of machine learning: a real-world evidence fable. Presented at the 33rd ICPE International Conference on Pharmacoepidemiology & Therapeutic Risk Management; August 30, 2017. Montreal, Canada. [abstract] Pharmacoepidemiol Drug Saf. 2017 Aug; 26(Suppl 2):460. doi: 10.1002/pds