1 citations · 1 across the 4 of their papers we have counts for
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Prognosis-equivalent mapping of clinical measurements via survival analysis
Kazuharu Harada, Mitsunori Ogawa
A continuous clinical measurement recorded in fixed physical units may have different prognostic meaning across patients when its effect depends on a patient-level modifier. For ex…
Efficient estimation of weighted treatment effects under two-phase sampling
Kazuharu Harada, Masataka Taguri
Two-phase sampling offers a practical way to collect costly confounders only in a subsample while retaining inexpensive information for a larger cohort. In observational causal stu…
Simultaneous Modeling of Disease Screening and Severity Prediction: A Multi-task and Sparse Regularization Approach
Kazuharu Harada, Shuichi Kawano, Masataka Taguri
Identifying clinically relevant biomarkers and developing predictive models are central challenges in biomedical research. Biomarkers are commonly used for disease screening, and s…
An interpretable neural network-based non-proportional odds model for ordinal regression
Akifumi Okuno, Kazuharu Harada
This study proposes an interpretable neural network-based non-proportional odds model (NPOM) for ordinal regression. NPOM is different from conventional approaches to ordin…
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
Kazuharu Harada, Hironori Fujisawa
The inverse probability (IPW) and doubly robust (DR) estimators are often used to estimate the average causal effect (ATE), but are vulnerable to outliers. The IPW/DR median can be…