معرفی
Tetiana Gorbach is an Associate Professor (on leave) at the Umeå School of Business, Economics and Statistics (USBE), Department of Statistics, Umeå University. Her research focuses on developing statistical methods for analyzing missing data, particularly in cognitive ageing and dementia research, alongside causal inference methodologies.
Research Projects:
- Principal Investigator of "Selection bias in ageing studies: novel statistical methods for analyses of incomplete datasets" (Fortes Postdoc Grant, 2022-2023, SEK 2,300,000)
- Co-applicant on the "Machine learning to study causality with big datasets" project (Marianne and Marcus Wallenberg Foundation, 2022-2027, SEK 6,000,000)
Research Interests: Her work bridges statistical theory and neuroscientific applications, emphasizing causal inference, longitudinal data analysis, and neuroimaging. Key areas include:
- Missing data mechanisms in aging studies
- Machine learning for causal effect estimation
- Neuroimaging analysis of brain connectivity
- Genetic influences on cognitive decline
Labs/Groups: Member of the Stat4Reg research group. Collaborates on the DYNAMIC project studying dopamine and brain connectomes in cognitive aging.
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