Michael Seo
Overview
Explore the profile of Michael Seo including associated specialties, affiliations and a list of published articles.
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12
Citations
51
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Recent Articles
1.
Efthimiou O, Seo M, Chalkou K, Debray T, Egger M, Salanti G
BMJ
. 2024 Sep;
386:e078276.
PMID: 39227063
No abstract available.
2.
Singh M, Patel B, Seo M, Ahn P, Wais N, Shen H, et al.
Front Aging
. 2024 Jun;
5:1385963.
PMID: 38903242
This paper tackles the complex interplay between Human Immunodeficiency virus (HIV-1) and (. ) infections, particularly their contribution to immunosenescence, the age-related decline in immune function. Using the current literature,...
3.
Seo M, Furukawa T, Karyotaki E, Efthimiou O
Res Synth Methods
. 2023 Feb;
14(3):455-467.
PMID: 36755407
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...
4.
Efthimiou O, Hoogland J, Debray T, Seo M, Furukawa T, Egger M, et al.
Stat Med
. 2023 Jan;
42(8):1188-1206.
PMID: 36700492
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...
5.
Yoshida K, Seo M, Luo Y, Sahker E, Cipriani A, Leucht S, et al.
J Alzheimers Dis
. 2022 Aug;
89(4):1143-1157.
PMID: 35988219
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...
6.
Seo M, Debray T, Ruffieux Y, Gsteiger S, Bujkiewicz S, Finckh A, et al.
Stat Methods Med Res
. 2022 Apr;
31(7):1355-1373.
PMID: 35469504
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...
7.
Efthimiou O, Seo M, Karyotaki E, Cuijpers P, Furukawa T, Schwarzer G, et al.
Stat Med
. 2022 Mar;
41(14):2586-2601.
PMID: 35261053
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....
8.
Seo M, White I, Furukawa T, Imai H, Valgimigli M, Egger M, et al.
Stat Med
. 2020 Dec;
40(6):1553-1573.
PMID: 33368415
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...
9.
Furukawa T, Debray T, Akechi T, Yamada M, Kato T, Seo M, et al.
J Affect Disord
. 2020 Aug;
276:1174-1175.
PMID: 32773206
No abstract available.
10.
Furukawa T, Debray T, Akechi T, Yamada M, Kato T, Seo M, et al.
J Affect Disord
. 2020 Jul;
274:690-697.
PMID: 32664003
Background: Clinical trials have traditionally been analysed at the aggregate level, assuming that the group average would be applicable to all eligible and similar patients. We re-analyzed a mega-trial of...