Test of Significance for High-Dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference

• Published in: Journal of the American Statistical Association Vol. 119; no. 546; pp. 1396 - 1408
• Main Authors: Feng, Huijie, Duan, Jingyi, Ning, Yang, Zhao, Jiwei
• Format: Journal Article
• Language: English
• Published: Alexandria Taylor & Francis 02.04.2024; Taylor & Francis Ltd
• Subjects: Bandwidth selection; Clinical research; Clinical significance; Clinical trials; High-dimensional statistical inference; Hypotheses; Hypothesis testing; Kernel method; Nonstandard asymptotics; Parameters; Simulation; Statistical analysis; Statistics; Surgery; Test procedures; threshold models; Thresholds

This work is motivated by learning the individualized minimal clinically important difference, a vital concept to assess clinical importance in various biomedical studies. We formulate the scientific question into a high-dimensional statistical problem where the parameter of interest lies in an indi...