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High-Fidelity IPD Reconstruction Framework by nikebeta is a document available to read on EtoBox.

RESOLVE-IPD is a computational framework designed for high-fidelity reconstruction of individual patient data (IPD) from oncology trials and uncertainty-aware subgroup meta-analysis. It combines advanced techniques for extracting Kaplan-Meier curve data and correcting for censoring biases, enabling accurate recovery of patient-level data and subgroup labels even when only aggregate statistics are available. The framework was validated through a meta-analysis of trials in esophageal cancer, demonstrating its

Author
nikebeta
Language
EN