Quantifying Treatment Effects in Trials with Multiple Event-Time Outcomes.

ABSTRACT:

Background

Data on the occurrence times of multiple outcomes, reflecting the temporal profile of disease burden/progression, have been used to estimate treatment effects in various recent randomized trials. Most procedures for analyzing these data require specific model assumptions. When the assumptions are not met, the results may be misleading. Robust, model-free procedures for study design and analysis that enable clinically meaningful interpretations are warranted.

Methods

For each treatment group, we constructed and summarized the estimated mean cumulative count of events over time by the area under the curve (AUC), which can be interpreted as the mean total event-free time lost from multiple undesirable outcomes. A higher curve, and resulting larger AUC, implies a wors

SUBMITTER: Claggett BL 

PROVIDER: S-EPMC10465123 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature