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: Martin has significantly advanced the ASCA (ANOVA-Simultaneous Component Analysis) family of methods. Her work on LiMM-PCA combines Linear Mixed Models (LMM) with Principal Component Analysis (PCA) to handle advanced designs with random effects and quantitative variables.
Below is a structured "paper" summarizing the core pillars of her scientific contributions and research focus.
While her focus is statistical, her work is applied across diverse scientific areas:
: Martin has significantly advanced the ASCA (ANOVA-Simultaneous Component Analysis) family of methods. Her work on LiMM-PCA combines Linear Mixed Models (LMM) with Principal Component Analysis (PCA) to handle advanced designs with random effects and quantitative variables.
Below is a structured "paper" summarizing the core pillars of her scientific contributions and research focus.
While her focus is statistical, her work is applied across diverse scientific areas:
