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BSET

A Bayesian Surrogate Evaluation Test

An implementation of the Bayesian Surrogate Evaluation Test (BSET) for assessing the validity of surrogate markers in clinical trials. Provides hypothesis testing tools to evaluate whether a surrogate can reliably estimate the causal effect of a treatment on a primary outcome. Implements the imputation-based Bayesian methodology of Carlotti and Parast (2026) <doi:10.48550/arXiv.2603.14381>, extending the frequentist rank-based approach of Parast et al. (2024) <doi:10.1093/biomtc/ujad035>. Addresses key limitations of the frequentist method, including the lack of causal interpretability and the inability to adjust for covariates in the estimation process.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 BSET_1.0.tar.gz 735.6 KiB
1.0 rolling linux/noble R-4.5 BSET_1.0.tar.gz 735.5 KiB
1.0 rolling source/ R- BSET_1.0.tar.gz 832.9 KiB
1.0 latest linux/jammy R-4.5 BSET_1.0.tar.gz 735.6 KiB
1.0 latest linux/noble R-4.5 BSET_1.0.tar.gz 735.5 KiB
1.0 latest source/ R- BSET_1.0.tar.gz 832.9 KiB
1.0 2026-04-23 source/ R- BSET_1.0.tar.gz 0 B

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