Applications of ROC Type Curves in Clinical Trials

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Applications of ROC Type Curves in Clinical Trials

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Castro-Pearson, Sandra

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2023-01

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Abstract

Randomized controlled trials are the most reliable form of evidence to drive medical practice and health policy. Yet, challenges remain in terms of understanding possible errors during protocol implementation and interpreting results of complex outcomes such as censored time-to-event outcomes with and without competing risks. In this dissertation, we study receiver operating characteristic (ROC) curves and use ROC concepts to create graphical methods that address these challenges.

Keywords

Clinical Trials

Competing risk

Kaplan-Meier

ROC

Survival analysis

Description

University of Minnesota Ph.D. dissertation. January 2023. Major: Biostatistics. Advisors: Xianghua Luo, Chap Le. 1 computer file (PDF); x, 97 pages.

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Castro-Pearson, Sandra. (2023). Applications of ROC Type Curves in Clinical Trials. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/257019.

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