4 papers · 1 filter
On the uncertainty from the first-stage estimation of prognostic covariate adjustment in randomized controlled trials
Nodoka Seya, Masataka Taguri
Prognostic covariate adjustment (PROCOVA) is a two-sample two-stage estimation method for covariate adjustment in randomized controlled trials. In the first stage, a prognostic sco…
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…
False Discovery Rate Control for Confounder Selection Using Mirror Statistics
Kazuharu Harada, Masataka Taguri
While data-driven confounder selection requires careful consideration, it is frequently employed in observational studies. Widely recognized criteria for confounder selection inclu…
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…