
About
Ana-Maria Iosif is a Professor in the Department of Public Health Sciences at the University of California, Davis, specializing in advanced statistical methodologies for complex biomedical data structures. Her work bridges biostatistics with clinical applications in neurodevelopmental disorders and pain management.
Her academic credentials include a Ph.D. from the University of Pittsburgh (2007), an M.A. from the University of Bucharest (2000), and a second M.A. from the University of Pittsburgh (2004).
Dr. Iosif's research centers on longitudinal data analysis with missingness, clustered data modeling, and informative cluster size methodologies. She applies these techniques to autism spectrum disorder studies examining symptom onset reliability, developmental trajectories, and neuroanatomical sex differences, while also investigating chronic pain treatment patterns through opioid therapy escalation analysis. Her methodological innovations address critical challenges in handling dropout-prone clinical cohort data.
Publication trends reveal a dominant focus on autism spectrum disorder across six recent articles (2015-2017), with four studies analyzing infant/preschool cohorts and two exploring diagnostic stability and symptom recall. A fifth article examines chronic pain management, demonstrating secondary expertise in pharmacological epidemiology. All work employs sophisticated biostatistical frameworks for complex data structures.
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