Regression Analysis of Doubly Truncated Data

• Published in: Journal of the American Statistical Association Vol. 115; no. 530; pp. 810 - 821
• Main Authors: Ying, Zhiliang, Yu, Wen, Zhao, Ziqiang, Zheng, Ming
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 02.04.2020; Taylor & Francis Ltd
• Subjects: Acquired immune deficiency syndrome; AIDS; Astronomy; Computer simulation; computer software; Counting; data collection; Dependent variables; Econometrics; Empirical process; Intervals; Justification; Mann-Whitney U test; Parameter estimation; Quasars; Rank estimation; Regression analysis; Resampling; Simulation; Statistical methods; Statistics; Survival analysis; U-process; Wilcoxon-Mann-Whitney statistic; Empirical process; Wilcoxon-Mann-Whitney Statistic; Linear programming; L1 method; Resampling; U-process; Confidence interval; Rank estimation

Doubly truncated data are found in astronomy, econometrics, and survival analysis literature. They arise when each observation is confined to an interval, that is, only those which fall within their respective intervals are observed along with the intervals. Unlike the one-sided truncation that can...