 | Up a level |
Seo, Michael; Furukawa, Toshi A; Karyotaki, Eirini; Efthimiou, Orestis (2023). Developing prediction models when there are systematically missing predictors in individual patient data meta-analysis. Research Synthesis Methods, 14(3), pp. 455-467. Wiley 10.1002/jrsm.1625
Efthimiou, Orestis; Hoogland, Jeroen; Debray, Thomas P A; Seo, Michael; Furukawa, Toshiaki A; Egger, Matthias; White, Ian R (2023). Measuring the performance of prediction models to personalize treatment choice. Statistics in medicine, 42(8), pp. 1188-1206. Wiley-Blackwell 10.1002/sim.9665
Yoshida, Kazufumi; Seo, Michael; Luo, Yan; Sahker, Ethan; Cipriani, Andrea; Leucht, Stefan; Iwatsubo, Takeshi; Efthimiou, Orestis; Furukawa, Toshiaki A (2022). Personalized Prediction of Alzheimer's Disease and Its Treatment Effects by Donepezil: An Individual Participant Data Meta-Analysis of Eight Randomized Controlled Trials. Journal of Alzheimer's disease, 89(4), pp. 1143-1157. IOS Press 10.3233/JAD-220263
Seo, Michael; Debray, Thomas Pa; Ruffieux, Yann; Gsteiger, Sandro; Bujkiewicz, Sylwia; Finckh, Axel; Egger, Matthias; Efthimiou, Orestis (2022). Combining individual patient data from randomized and non-randomized studies to predict real-world effectiveness of interventions. Statistical Methods in Medical Research, 31(7), pp. 1355-1373. SAGE Publications (UK and US) 10.1177/09622802221090759
Efthimiou, Orestis; Seo, Michael; Karyotaki, Eirini; Cuijpers, Pim; Furukawa, Toshi A; Schwarzer, Guido; Rücker, Gerta; Mavridis, Dimitris (2022). Bayesian models for aggregate and individual patient data component network meta-analysis. Statistics in medicine, 41(14), pp. 2586-2601. Wiley-Blackwell 10.1002/sim.9372
Seo, Michael (2022). Evidence-synthesis methods for personalizing the choice of treatment. (Unpublished). (Dissertation, University of Bern, the Faculty of Medicine and the Faculty of Human Sciences)
Seo, Michael; White, Ian R; Furukawa, Toshi A; Imai, Hissei; Valgimigli, Marco; Egger, Matthias; Zwahlen, Marcel; Efthimiou, Orestis (2021). Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis. Statistics in medicine, 40(6), pp. 1553-1573. Wiley-Blackwell 10.1002/sim.8859
Seo, Michael; Furukawa, Toshi A; Veroniki, Areti Angeliki; Pillinger, Toby; Tomlinson, Anneka; Salanti, Georgia; Cipriani, Andrea; Efthimiou, Orestis (2021). The Kilim plot: A tool for visualizing network meta-analysis results for multiple outcomes. Research Synthesis Methods, 12(1), pp. 86-95. Wiley 10.1002/jrsm.1428
Khan, Mohammad Saud; Khan, Abdur Rahman; Khan, Abdullah Irfan; Seo, Michael; Yasmin, Farah; Usman, Muhammad Shariq; Moustafa, Abdelmoniem; Schmid, Christopher H; Kalra, Ankur; Ikram, Sohail (2020). Comparison of revascularization strategies in patients with acute coronary syndrome and multivessel coronary disease: A systematic review and network meta-analysis. Catheterization and cardiovascular interventions, 96(4), E447-E454. Wiley-Blackwell 10.1002/ccd.28855
Furukawa, Toshi A; Debray, Thomas P A; Akechi, Tatsuo; Yamada, Mitsuhiko; Kato, Tadashi; Seo, Michael; Efthimiou, Orestis (2020). Can personalized treatment prediction improve the outcomes, compared with the group average approach, in a randomized trial? Developing and validating a multivariable prediction model in a pragmatic megatrial of acute treatment for major depression. Journal of Affective Disorders, 274, pp. 690-697. Elsevier 10.1016/j.jad.2020.05.141
