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Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

This course introduces the class of models known as generalised linear models, providing an overview of the theory of estimation and inference as well as practical examples from various areas of ...

Different from existing algorithms that rely on locally linear models or hand-designed objective functions to extract the structural information from the guidance image, we propose a new joint filter ...

Further, we will introduce generalized linear mixed models, which apply to situations where the outcome variable is not necessarily continuous, such as logistic models for binary outcomes and ...

The tobit model is a particular case of censored regression ... ratio test New function rows2varsFS which extends function rows2vars of MATLAB to reorient table or timetable. New function pdfprotect ...