معرفی
Fan Yang Wallentin is a Professor in Statistics at Uppsala University, Sweden, where she works in the Department of Statistics. She serves as the Coordinator for International Exchange Programs and has been responsible for the statistical consultant service at the department since 2009. Her academic career is deeply rooted at Uppsala University, where she earned her PhD in Statistics in 1997.
Her educational background includes:
- PhD in Statistics from Uppsala University (1997)
Professor Wallentin's research primarily focuses on structural equation modeling and multivariate statistical analysis, with particular applications in social and behavioral sciences. Her work bridges theoretical statistical advancements with practical applications across diverse fields including public health, psychology, economics, and education. She has made significant contributions to psychometrics, particularly in the development and validation of measurement instruments used in healthcare and education settings. Her methodology work addresses specification issues, robustness properties, and computational aspects of statistical models.
Her publication record demonstrates an evolving research trajectory that has recently incorporated pressing global issues such as the statistical analysis of the COVID-19 pandemic, while maintaining her core expertise in structural equation modeling and related methodologies. Her work often involves cross-disciplinary collaborations, reflecting the broad applicability of her statistical expertise across healthcare, energy policy, and development economics.
Among her notable recognitions:
- Arnberg Prize from the Swedish Royal Academy of Sciences (2000) for her PhD thesis "Non-linear structural equation models: Simulation studies of the Kenny-Judd model"
Professor Wallentin has extensive experience providing statistical consultation to researchers in social and behavioral sciences. Her role as Coordinator for International Exchange Programs suggests active engagement in global academic networks. Her research has been applied in diverse contexts including pandemic response analysis, women's empowerment through microfinance, healthcare quality assessment, and educational statistics, demonstrating the versatility and impact of her methodological contributions.
