Ralitza Gueorguieva, PhD

Senior Research Scientist in Biostatistics; Director of Biostatistics in Psychiatry

Research Interests

Psychiatry; Research Design; Models, Statistical; Risk Assessment

Public Health Interests

Biostatistics; Data analysis; Epidemiology Methods; Maternal & child health; Mental Health; Risk assessment; Statistical models; Substance abuse

Research Organizations

School of Public Health

Center for the Translational Neuroscience of Alcoholism

Faculty Research

Neuroscience Research Training Program (NRTP)

Yale Tobacco Center of Regulatory Science

Research Summary

Professor Gueorguieva's interests are in development and application of statistical methods for the analysis of data from clinical trials and epidemiological studies. She is working on models for repeatedly measured observations, survival outcomes and risk assessment. Her main collaborations are in the area of psychiatry and clinical neuroscience.

Extensive Research Description

Dr. Gueorguieva's research interests are in methodological development of models for longitudinal data and outcomes of different types, assessment of risk and the application of innovative statistical approaches for the analyses of clinical trials data. She has developed statistical techniques for simultaneous analysis of repeatedly measured categorical and continuous outcomes, and of longitudinal and survival outcomes, has developed risk assessment screening algorithms, and has applied trajectory-based approaches and recursive partitioning methods to the assessment of treatment effects. Dr. Gueorguieva is collaborating extensively with psychiatric researchers on clinical trials and observational studies in alcoholism, substance abuse, depression and anxiety disorders, women's behavioral health, schizophrenia, bipolar disorder, obsessive-compulsive disorder and posttraumatic stress disorder. She advocates the use of modern statistical methods such as mixed and mixture models, tree-based methods and nonparametric alternatives to address the complexity of psychiatric data.

  • Predictors and Moderators of Response to Treatment
  • Growth Mixture Modeling of Longitudinal Data
  • Joint Analysis of Repeatedly Measured Outcomes and Competing Risks
  • Center for the Translational Neuroscience of Alcoholism
  • Yale Tobacco Center of Regulatory Science
  • Yale SPORE in Lung Cancer
  • The STRONG STAR Consortium to Alleviate PTSD

Selected Publications

  • Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered and Other Repeated Measures Data. Gueorguieva R. (2017). Chapman & Hall/CRC Interdisciplinary Statistics series. ISBN 9781498740760.
  • Trajectories of relapse in randomized placebo-controlled trials of treatment discontinuation in major depressive disorder. Gueorguieva R, Chekroud AM, Krystal JH (2017). “Trajectories of relapse in randomized placebo-controlled trials of treatment discontinuation in major depressive disorder.” Lancet Psychiatry 4(3):230-237. [PMCID: PMC5340978].
  • Temporal patterns of adherence to medications and behavioral treatment and their relationship to patient characteristics and treatment response. Gueorguieva R, Wu R, Krystal J, Donnovan D, O’Malley S (2013). “Temporal patterns of adherence to medications and behavioral treatment and their relationship to patient characteristics and treatment response.” Addictive Behaviors 38(5): 2119-2127.
  • Joint modelling of longitudinal outcome and interval-censored competing risk dropout in a schizophrenia clinical trial.

    Gueorguieva R, Rosenheck R, Lin H. (2012). “Joint modelling of longitudinal outcome and interval-censored competing risk dropout in a schizophrenia clinical trial.” Journal of the Royal Statistical Society, Series A 175(2):417-433. [PMCID: PMC3315284].

  • Trajectories of depression severity in clinical trials of duloxetine: insights into placebo and antidepressant responses.

    Gueorguieva R, Mallinckrodt C, Krystal J. (2011). “Trajectories of depression severity in clinical trials of duloxetine: insights into placebo and antidepressant responses.” Archives of General Psychiatry 68: 1227-1237. [PMCID: PMC3339151].

  • Dirichlet component regression and application to psychiatric data.

    Gueorguieva R, Rosenheck R, Zelterman D. (2008) “Dirichlet component regression and application to psychiatric data.” Computational Statistics and Data Analysis 52(12), 5344-5355. [PMCID: PMC3207324].

  • Joint Analysis of Repeatedly Observed Continuous and Ordinal Measures of Disease Severity.

    Gueorguieva, R.V. and Sanacora, G. (2006). Joint Analysis of Repeatedly Observed Continuous and Ordinal Measures of Disease Severity. Statistics in Medicine 25(8): 1307-1322.

  • Progress in Analyzing Repeated Measures Data and Its Reflection in Papers Published in the Archives of General Psychiatry.

    Gueorguieva, R.V. and Krystal, J. Move Over ANOVA: Progress in Analyzing Repeated Measures Data and Its Reflection in Papers Published in the Archives of General Psychiatry. Archives of General Psychiatry 61: 310-317, 2004.

  • Gueorguieva, R.V. and Agresti, A. Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Response. Journal of the American Statistical Association 96: 1102-1112, 2001.

Full List of PubMed Publications

Edit this profile