Nature

A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods

Missing data is a common issue in medical research, and is often caused by human factors during data collection in epidemiology and clinical studies, which mainly involve individuals as subjects.
Nature

Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition distinguished by social and communication deficits coupled with restricted interests and repetitive, stereotypic movements and ...
Western Michigan University

Magdalena Niewiadomska-Bugaj

Thesis: On the problem of sequential discrimination. RESEARCH INTERESTS: general methodology, classification, categorical data, zero-inflated distributions, statistical consulting. COURSES TAUGHT: ...
News Medical

Cell morphology subpopulation classification in a label-free method

A cell’s morphology comprises vast amounts of information on cell health and differentiation state and yields insight into cell phenotype. Biologists utilize this information on a daily basis to aid ...