Research Departments & Organizations
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
|Addictive Behaviors, Alcohol Addiction, Mental Health & Behavioral Research||Behavioral and Neurochemical Mechanisms Underlying Stress-Precipitated Drinking|
|Lung||Personalized Prevention: Smoking Cessation in Patients With a Lung Nodule|
|Mental Health & Behavioral Research||STEP-ED: Reducing Duration of Untreated Psychosis and Its Impact in the U.S.|
|Addictive Behaviors, Mental Health & Behavioral Research, Tobacco Addiction||Flavors and E-cigarette Effects in Adolescent Smokers|
Teaching Biostatistics to Students Sofia, Bulgaria (2013 - 2013)
Dr. Gueorguieva taught a course in biostatistics for participants in the M.Sc. program in Probability Theory and Mathematical Statistics and provided mentorship to students at Sofia University.
Family Association Study of Neurocognitive Impairment in Patients with Bipolar Disorder Sofia, Bulgaria (2009 - 2009)
Dr. Gueorguieva provided statistical consultations to the project team.
UNICEF Early Child Development Project Bulgaria (2008 - 2008)
Dr. Gueorguieva provided guidance on statistical analyses to the national team of the Child Nutrition, Rearing and Parenting Practices study in Bulgaria.
Research and Teaching Sofia, Bulgaria (2008)
As an affiliated member of the Section of Probability Theory and Mathematical Statistics, Dr. Gueorguieva has taught training courses, participated in seminars and research projects with Bulgarian scientists.
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. 2017
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]. 2017
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. 2013
Joint modelling of longitudinal outcome and interval-censored competing risk dropout in a schizophrenia clinical trial.
Gueorguieva R, Rosenheck R, Lin H. Joint modelling of longitudinal outcome and interval-censored competing risk dropout in a schizophrenia clinical trial. Journal Of The Royal Statistical Society. Series A, (Statistics In Society) 2012, 175:417-433. 2012
Trajectories of depression severity in clinical trials of duloxetine: insights into antidepressant and placebo responses.
Gueorguieva R, Mallinckrodt C, Krystal JH. Trajectories of depression severity in clinical trials of duloxetine: insights into antidepressant and placebo responses. Archives Of General Psychiatry 2011, 68:1227-37. 2011
Dirichlet Component Regression and its Applications to Psychiatric Data.
Gueorguieva R, Rosenheck R, Zelterman D. Dirichlet Component Regression and its Applications to Psychiatric Data. Computational Statistics & Data Analysis 2008, 52:5344-5355. 2008
Joint analysis of repeatedly observed continuous and ordinal measures of disease severity.
Gueorguieva RV, Sanacora G. Joint analysis of repeatedly observed continuous and ordinal measures of disease severity. Statistics In Medicine 2006, 25:1307-22. 2006
Move over ANOVA: progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry.
Gueorguieva R, Krystal JH. 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 2004, 61:310-7. 2004