High-Dimensional Repeated Measures

Research on high-dimensional repeated-measures and split-plot designs.

I work on statistical inference for high-dimensional repeated-measures and split-plot designs, including settings with complex dependence structures and dimensions that may be large relative to sample size.

Related Work

• Sattler & Pauly (2018), Inference for high-dimensional split-plot-designs: A unified approach for small to large numbers of factor levels
• Sattler (2021), A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics
• Sattler & Kumar (2026), A unified approach to inference in high-dimensional repeated measure designs with group-specific dimensions
• hdrm

The group-specific-dimension methodology is part of the research record but is not presented as a current hdrm package feature.