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Eva Petkova, PhD

Associate Professor of Child and Adolescent Psychiatry; Director, Biostatistics Division
Eva Petkova, PhD

Eva Petkova, PhD, is Associate Professor of Child and Adolescent Psychiatry at NYU School of Medicine and Director of the Division of Biostatistics at the Child Study Center which provides statistical expertise to researchers in the Department.

Dr. Petkova’s research expertise is in statistical modeling and design of clinical experiments, which includes regression methods for clustered longitudinal, categorical and survival data, finite mixture modeling, causal inference and models for missing data. Dr. Petkova also has extensive experience in designing, monitoring, and analyzing data from large single-site and multi-site psychiatric clinical trials in the areas of treatment and services research.  The nature of psychiatric disorders poses numerous statistical methodological challenges for design and analysis of studies. Dr. Petkova has been at the forefront of new methodological advances that seek to address these obstacles.

Dr. Petkova graduated with a degree in Mathematics from the Sofia University in Bulgaria in 1982, where she also obtained a Masters degree in Mathematics in 1984 and a PhD in Physics in 1987. She then obtained a second PhD in Statistics from Pennsylvania State University in 1992. She completed her Postdoctoral Fellowship in Biostatistics at Harvard University in 1994.

Prior to joining the Department of Child and Adolescent Psychiatry and NYU, for twelve years she worked at the Departments of Biostatistics and Psychiatry at Columbia University, where she directed the Division of Biostatistics at the New York State Psychiatric Institute.

Dr Petkova is a recognized leader in the field of Biostatistical methods for mental health research. She is a one of the founders of the Annual Symposium on Statistics in Psychiatry, which is in its 11th year. She has been involved in the administration of the Biometrics section of the American Statistical Association and its annual Statistical Meetings jointly with the Institute of Mathematical Statistics, International Biometrics Society and the Statistical Association of Canada.