3 papers
stat.ME2026
Practical limitations for real-life application of data fission and data thinning in post-clustering differential analysis
Benjamin Hivert, Denis Agniel, Rodolphe Thiébaut +1
Post-clustering inference in single-cell RNA sequencing (scRNA-seq) analysis presents significant challenges in controlling Type I error during differential expression analysis. Da…
stat.ME2025
RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology
Arthur Hughes, Layla Parast, Rodolphe Thiébaut +1
In vaccine trials with long-term participant follow-up, it is of great importance to identify surrogate markers that accurately infer long-term immune responses. These markers offe…
stat.ME2025
Estimating Optimal Dynamic Treatment Regimes Using Irregularly Observed Data: A Target Trial Emulation and Bayesian Joint Modeling Approach
Larry Dong, Eleanor Pullenayegum, Rodolphe Thiébaut +1
An optimal dynamic treatment regime (DTR) is a sequence of decision rules aimed at providing the best course of treatments individualized to patients. While conventional DTR estima…