Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Michael Seo"'
Autor:
Mona Singh, Bhumika Patel, Michael Seo, Phillip Ahn, Nejma Wais, Haley Shen, SriHarsha Nakka, Priya Kishore, Vishwanath Venketaraman
Publikováno v:
Frontiers in Aging, Vol 5 (2024)
This paper tackles the complex interplay between Human Immunodeficiency virus (HIV-1) and Mycobacterium tuberculosis (M. tuberculosis) infections, particularly their contribution to immunosenescence, the age-related decline in immune function. Using
Externí odkaz:
https://doaj.org/article/8a4f7774c42c47e8adc74d10174de5c5
Autor:
W. T. Michael Seo, Emily Y. Tsui
Publikováno v:
Comments on Inorganic Chemistry. :1-43
Publikováno v:
Research Synthesis Methods, 14(3), 455-467. Wiley
Seo, M, Furukawa, T A, Karyotaki, E & Efthimiou, O 2023, ' Developing prediction models when there are systematically missing predictors in individual patient data meta-analysis ', Research Synthesis Methods, vol. 14, no. 3, pp. 455-467 . https://doi.org/10.1002/jrsm.1625
Seo, M, Furukawa, T A, Karyotaki, E & Efthimiou, O 2023, ' Developing prediction models when there are systematically missing predictors in individual patient data meta-analysis ', Research Synthesis Methods, vol. 14, no. 3, pp. 455-467 . https://doi.org/10.1002/jrsm.1625
Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytica
Autor:
Orestis Efthimiou, Michael Seo, Eirini Karyotaki, Pim Cuijpers, Toshi A. Furukawa, Guido Schwarzer, Gerta Rücker, Dimitris Mavridis
Publikováno v:
Statistics in Medicine, 41(14), 2586-2601. John Wiley and Sons Ltd
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
Efthimiou, O, Seo, M, Karyotaki, E, Cuijpers, P, Furukawa, T A, Schwarzer, G, Rücker, G & Mavridis, D 2022, ' Bayesian models for aggregate and individual patient data component network meta-analysis ', Statistics in Medicine, vol. 41, no. 14, pp. 2586-2601 . https://doi.org/10.1002/sim.9372
Statistics in medicine
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
Efthimiou, O, Seo, M, Karyotaki, E, Cuijpers, P, Furukawa, T A, Schwarzer, G, Rücker, G & Mavridis, D 2022, ' Bayesian models for aggregate and individual patient data component network meta-analysis ', Statistics in Medicine, vol. 41, no. 14, pp. 2586-2601 . https://doi.org/10.1002/sim.9372
Statistics in medicine
Network meta-analysis can synthesize evidence from studies comparing multiple treatments for the same disease. Sometimes the treatments of a network are complex interventions, comprising several independent components in different combinations. A com
Autor:
Kazufumi Yoshida, Michael Seo, Yan Luo, Ethan Sahker, Andrea Cipriani, Stefan Leucht, Takeshi Iwatsubo, Orestis Efthimiou, Toshiaki A. Furukawa
Publikováno v:
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
BACKGROUND Patient characteristics may predict the progression of Alzheimer's disease (AD) and may moderate the effects of donepezil. OBJECTIVE To build a personalized prediction model for patients with AD and to estimate patient-specific treatment e
Autor:
Michael Seo, Thomas PA Debray, Yann Ruffieux, Sandro Gsteiger, Sylwia Bujkiewicz, Axel Finckh, Matthias Egger, Orestis Efthimiou
Publikováno v:
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
Meta-analysis of randomized controlled trials is generally considered the most reliable source of estimates of relative treatment effects. However, in the last few years, there has been interest in using non-randomized studies to complement evidence
Autor:
Areti Angeliki Veroniki, Andrea Cipriani, Orestis Efthimiou, Toby Pillinger, Michael Seo, Anneka Tomlinson, Georgia Salanti, Toshi A. Furukawa
Publikováno v:
Research Synthesis Methods
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
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
Network meta-analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a nont
Autor:
Marco Valgimigli, Toshi A. Furukawa, Orestis Efthimiou, Matthias Egger, Marcel Zwahlen, Michael Seo, Hissei Imai, Ian R. White
Publikováno v:
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
Statistics in Medicine
Statistics in Medicine
Meta‐analysis of individual patient data (IPD) is increasingly used to synthesize data from multiple trials. IPD meta‐analysis offers several advantages over meta‐analyzing aggregate data, including the capacity to individualize treatment recom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9870f64869470fc47dd94dd2d21841
Autor:
Christopher H. Schmid, Mohammad Saud Khan, Sohail Ikram, Michael Seo, Abdelmoniem Moustafa, Abdullah Irfan Khan, Abdur Rahman Khan, Farah Yasmin, Muhammad Usman, Ankur Kalra
BACKGROUND Whether revascularization should be performed as multivessel intervention at the time of index procedure (MV-index), staged procedure (MV-staged), or culprit only intervention (COI) in patients with multivessel disease (MVD) presenting wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25b7311024a611fb379f0cb562b3ee5
Autor:
Tatsuo Akechi, Mitsuhiko Yamada, Thomas P. A. Debray, Tadashi Kato, Toshi A. Furukawa, Orestis Efthimiou, Michael Seo
Publikováno v:
Journal of Affective Disorders. 276:1174-1175