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Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables

Dynamical systems modeling is one of the most successfully implemented methodologies throughout mathematical oncology (1). Applications of these model first approaches have led to important insights ...
JSTOR Daily

Modeling Heterogeneity of Latent Growth Depending on Initial Status

In this article, a heterogeneous latent growth curve model for modeling heterogeneity of growth rates is proposed. The suggested model is an extension of a conventional growth curve model and a ...
RIETI独立行政法人経済産業研究所

Extensions of Rubin's Causal Model for a Latent-Class Treatment Variable: An analysis of the effects of employers' work-life balance policies on women's income attainment in Japan

Combining inverse-probability weighting based on propensity scores and a semiparametric outcome model with a latent-class variable as an intervening variable, this paper introduces extensions of Rubin ...
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Motonori Oka

Motonori Oka’s research interests lie broadly in statistics and machine/deep learning for the education and social sciences, with specific devotion to methodological advancement in latent variable ...