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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

Autor: Furukawa, Toshi A, Debray, Thomas P A, Akechi, Tatsuo, Yamada, Mitsuhiko, Kato, Tadashi, Seo, Michael, Efthimiou, Orestis

Publikováno v: In Journal of Affective Disorders 1 September 2020 274:690-697

Measuring the performance of prediction models to personalize treatment choice

Autor: Efthimiou, Orestis, Hoogland, Jeroen, Debray, Thomas P A, Seo, Michael, Furukawa, Toshiaki A, Egger, Matthias, White, Ian R

Publikováno v: Efthimiou, O, Hoogland, J, Debray, T P A, Seo, M, Furukawa, T A, Egger, M & White, I R 2023, ' Measuring the performance of prediction models to personalize treatment choice ', Statistics in Medicine, vol. 42, no. 8, pp. 1188-1206 . https://doi.org/10.1002/sim.9665
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
Statistics in Medicine, 42(8), 1188-1206. John Wiley and Sons Ltd

When data are available from individual patients receiving either a treatment or a control intervention in a randomized trial, various statistical and machine learning methods can be used to develop models for predicting future outcomes under the two

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5c9eab003b2256883e01a71da9fec6f
https://research.vumc.nl/en/publications/3ada19ef-880a-48da-b5c1-a0b5f137cd89

sj-docx-1-smm-10.1177_09622802221090759 - Supplemental material for Combining individual patient data from randomized and non-randomized studies to predict real-world effectiveness of interventions

Autor: Seo, Michael, Debray, Thomas PA, Ruffieux, Yann, Gsteiger, Sandro, Bujkiewicz, Sylwia, Finckh, Axel, Egger, Matthias, Efthimiou, Orestis

Supplemental material, sj-docx-1-smm-10.1177_09622802221090759 for Combining individual patient data from randomized and non-randomized studies to predict real-world effectiveness of interventions by Michael Seo, Thomas PA Debray, Yann Ruffieux, Sand

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65a234086ea749d08d214e56d919bef4

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