Sequential nonparametrics and semiparametrics: Theory, implementation and applications to clinical trials
Tze Leung Lai, Zheng Su

TL;DR
This paper reviews key theoretical developments, computational methods, and applications of sequential nonparametric and semiparametric inference in clinical trials, emphasizing survival analysis and time-sequential designs.
Contribution
It provides a comprehensive review of Pranab K. Sen's work and recent advances in nonparametric and semiparametric methods for sequential clinical trials.
Findings
Enhanced computational techniques for sequential inference.
Applications to survival endpoints in clinical trials.
Theoretical insights into nonparametric and semiparametric methods.
Abstract
One of Pranab K. Sen's major research areas is sequential nonparametrics and semiparametrics and their applications to clinical trials, to which he has made many important contributions. Herein we review a number of these contributions and related developments. We also describe some recent work on nonparametric and semiparametric inference and the associated computational methods in time-sequential clinical trials with survival endpoints.
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