Res Sq. 2023 Aug 17:rs.3.rs-3242375. doi: 10.21203/rs.3.rs-3242375/v1. Preprint.
ABSTRACT
In this note, we present an innovative approach called “homologous hypothesis tests” that focuses on cross-sectional comparisons of average tumor volumes at different time-points. By leveraging the correlation structure between time-points, our method enables highly efficient per time-point comparisons, providing inferences that are highly efficient as compared to those obtained from a standard two-sample $t$-test. The key advantage of this approach lies in its user-friendliness and accessibility, as it can be easily employed by the broader scientific community through standard statistical software packages.
PMID:37645958 | PMC:PMC10462185 | DOI:10.21203/rs.3.rs-3242375/v1
