1 code implementation • 5 May 2019 • Shonosuke Sugasawa, Hisashi Noma
The development of molecular diagnostic tools to achieve individualized medicine requires identifying predictive biomarkers associated with subgroups of individuals who might receive beneficial or harmful effects from different available treatments.
Methodology
1 code implementation • 3 Apr 2018 • Kengo Nagashima, Hisashi Noma, Toshi A. Furukawa
For the inference of random-effects models in meta-analysis, the prediction interval was proposed as a summary measure of the treatment effects that explains the heterogeneity in the target population.
Methodology
1 code implementation • 17 Nov 2017 • Shonosuke Sugasawa, Hisashi Noma
Random-effects meta-analyses have been widely applied in evidence synthesis for various types of medical studies.
Methodology
