Ralitza Gueorguieva, PhD
Research & Publications
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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 tobacco research, 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
- Mixture Models for Semi-Ordinal Data
- Mixture Models for Simultaneous Analysis of Abstinence, Frequency and Intensity of Drinking
- Center for the Translational Neuroscience of Alcoholism
- Yale Center for the Study of Tobacco Product Use and Addiction: Flavors, Nicotine and Other Constituents
- YALE-SCORE on Sex Differences in Alcohol Use Disorder
- The STRONG STAR Consortium to Alleviate PTSD
Coauthors
Research Interests
Psychiatry; Research Design; Models, Statistical; Risk Assessment; Biostatistics
Public Health Interests
Epidemiology Methods; Maternal & Child Health; Mental Health; Modeling; Substance Use, Addiction
Selected Publications
- A network analysis of cigarette craving.Aslan M, Sala M, Gueorguieva R, Garrison K. A network analysis of cigarette craving. Nicotine & Tobacco Research 2023 PMID: 36757093, DOI: 10.1093/ntr/ntad021.
- The FIRST nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youthsSimon P, Buta E, Jackson A, Camenga D, Kong G, Morean M, Bold K, Davis D, Krishnan-Sarin S, Gueorguieva R. The FIRST nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths Preventive Medicine 2023, 169: 107437. PMID: 36731754, DOI: 10.1016/j.ypmed.2023.107437.
- Examining racial differences in smoking outcomes among smokers enrolled in an intravenous nicotine infusion studySchwartz E, Palmisano A, Gueorguieva R, DeVito E, Sofuoglu M. Examining racial differences in smoking outcomes among smokers enrolled in an intravenous nicotine infusion study Addictive Behaviors 2023, 140: 107615. PMID: 36640662, DOI: 10.1016/j.addbeh.2023.107615.
- Models for zero-inflated and overdispersed correlated count data: an application to cigarette use.Pittman B, Buta E, Garrison K, Gueorguieva R. Models for zero-inflated and overdispersed correlated count data: an application to cigarette use. Nicotine & Tobacco Research 2022 PMID: 36318799, DOI: 10.1093/ntr/ntac253.
- Two‐part models for repeatedly measured ordinal data with “don't know” categoryGueorguieva R, Buta E, Morean M, Krishnan‐Sarin S. Two‐part models for repeatedly measured ordinal data with “don't know” category Statistics In Medicine 2020, 39: 4574-4592. PMID: 32909252, PMCID: PMC8025667, DOI: 10.1002/sim.8739.
- Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data.Gueorguieva R, Buta E, Simon P, Krishnan-Sarin S, O’Malley S. Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data. Nicotine & Tobacco Research 2020, 22: 1901-1908. PMID: 32219313, PMCID: PMC7542650, DOI: 10.1093/ntr/ntaa056.
- Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional studyChekroud SR, Gueorguieva R, Zheutlin AB, Paulus M, Krumholz HM, Krystal JH, Chekroud AM. Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study The Lancet Psychiatry 2018, 5: 739-746. PMID: 30099000, DOI: 10.1016/s2215-0366(18)30227-x.
- Bayesian joint modelling of longitudinal data on abstinence, frequency and intensity of drinking in alcoholism trialsButa E, O’Malley S, Gueorguieva R. Bayesian joint modelling of longitudinal data on abstinence, frequency and intensity of drinking in alcoholism trials Journal Of The Royal Statistical Society Series A (Statistics In Society) 2017, 181: 869-888. PMID: 31123390, PMCID: PMC6527419, DOI: 10.1111/rssa.12334.
- Trajectories of relapse in randomised, placebo-controlled trials of treatment discontinuation in major depressive disorder: an individual patient-level data meta-analysisGueorguieva R, Chekroud AM, Krystal JH. Trajectories of relapse in randomised, placebo-controlled trials of treatment discontinuation in major depressive disorder: an individual patient-level data meta-analysis The Lancet Psychiatry 2017, 4: 230-237. PMID: 28189575, PMCID: PMC5340978, DOI: 10.1016/s2215-0366(17)30038-x.
- 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.
- Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement StudyGrigorova D, Gueorguieva R. Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement Study Statistics In Medicine 2016, 35: 4202-4225. PMID: 27222058, DOI: 10.1002/sim.6982.
- A modified classification tree method for personalized medicine decisions.Tsai WM, Zhang H, Buta E, O'Malley S, Gueorguieva R. A modified classification tree method for personalized medicine decisions. Statistics And Its Interface 2016, 9: 239-253. PMID: 26770292, PMCID: PMC4707681, DOI: 10.4310/sii.2016.v9.n2.a11.
- An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosateGueorguieva R, Wu R, Tsai WM, O’Connor P, Fucito L, Zhang H, O’Malley S. An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate European Neuropsychopharmacology 2015, 25: 1586-1599. PMID: 26141511, PMCID: PMC4600651, DOI: 10.1016/j.euroneuro.2015.06.006.
- Predictors of Abstinence from Heavy Drinking During Treatment in COMBINE and External Validation in PREDICTGueorguieva R, Wu R, O'Connor PG, Weisner C, Fucito LM, Hoffmann S, Mann K, O'Malley SS. Predictors of Abstinence from Heavy Drinking During Treatment in COMBINE and External Validation in PREDICT Alcoholism Clinical And Experimental Research 2014, 38: 2647-2656. PMID: 25346505, PMCID: PMC4397985, DOI: 10.1111/acer.12541.
- Em Algorithm for MLE of a Probit Model for Multiple Ordinal OutcomesGrigorova D, Encheva E, Gueorguieva R. Em Algorithm for MLE of a Probit Model for Multiple Ordinal Outcomes Serdica Journal Of Computing 2014, 7: 227-244. DOI: 10.55630/sjc.2013.7.227-244.
- Temporal patterns of adherence to medications and behavioral treatment and their relationship to patient characteristics and treatment responseGueorguieva R, Wu R, Krystal JH, Donovan D, O'Malley SS. Temporal patterns of adherence to medications and behavioral treatment and their relationship to patient characteristics and treatment response Addictive Behaviors 2013, 38: 2119-2127. PMID: 23435273, PMCID: PMC3595348, DOI: 10.1016/j.addbeh.2013.01.024.
- Random effects models for joint analysis of repeatedly measured discrete and continuous outcomesGueorguieva R. Random effects models for joint analysis of repeatedly measured discrete and continuous outcomes 2013, 109-123. DOI: 10.1201/b14571-9.
- Trajectories of Depression Severity in Clinical Trials of Duloxetine: Insights Into Antidepressant and Placebo ResponsesGueorguieva R, Mallinckrodt C, Krystal JH. Trajectories of Depression Severity in Clinical Trials of Duloxetine: Insights Into Antidepressant and Placebo Responses JAMA Psychiatry 2011, 68: 1227-1237. PMID: 22147842, PMCID: PMC3339151, DOI: 10.1001/archgenpsychiatry.2011.132.
- Joint modelling of longitudinal outcome and interval‐censored competing risk dropout in a schizophrenia clinical trialGueorguieva 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) 2011, 175: 417-433. PMID: 22468033, PMCID: PMC3315284, DOI: 10.1111/j.1467-985x.2011.00719.x.
- Differential changes in body mass index after retirement by occupation: hierarchical modelsGueorguieva R, Sindelar JL, Wu R, Gallo WT. Differential changes in body mass index after retirement by occupation: hierarchical models International Journal Of Public Health 2010, 56: 111-116. PMID: 20625792, PMCID: PMC3154720, DOI: 10.1007/s00038-010-0166-z.
- Correlated Probit ModelGueorguieva R. Correlated Probit Model 2010, 355-362. DOI: 10.3109/9781439822463.057.
- The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement SurveyGueorguieva R, Sindelar JL, Falba TA, Fletcher JM, Keenan P, Wu R, Gallo WT. The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement Survey The Journals Of Gerontology Series B 2009, 64B: 118-124. PMID: 19196689, PMCID: PMC2654983, DOI: 10.1093/geronb/gbn006.
- Dirichlet component regression and its applications to psychiatric dataGueorguieva R, Rosenheck R, Zelterman D. Dirichlet component regression and its applications to psychiatric data Computational Statistics & Data Analysis 2008, 52: 5344-5355. PMID: 22058582, PMCID: PMC3207324, DOI: 10.1016/j.csda.2008.05.030.
- Length of Prenatal Participation in WIC and Risk of Delivering a Small for Gestational Age Infant: Florida, 1996–2004Gueorguieva R, Morse SB, Roth J. Length of Prenatal Participation in WIC and Risk of Delivering a Small for Gestational Age Infant: Florida, 1996–2004 Maternal And Child Health Journal 2008, 13: 479-488. PMID: 18661219, DOI: 10.1007/s10995-008-0391-8.
- New Insights into the Efficacy of Naltrexone Based on Trajectory-Based Reanalyses of Two Negative Clinical TrialsGueorguieva R, Wu R, Pittman B, Cramer J, Rosenheck RA, O’Malley S, Krystal JH. New Insights into the Efficacy of Naltrexone Based on Trajectory-Based Reanalyses of Two Negative Clinical Trials Biological Psychiatry 2007, 61: 1290-1295. PMID: 17224132, PMCID: PMC1952242, DOI: 10.1016/j.biopsych.2006.09.038.
- Joint analysis of repeatedly observed continuous and ordinal measures of disease severityGueorguieva RV, Sanacora G. Joint analysis of repeatedly observed continuous and ordinal measures of disease severity Statistics In Medicine 2006, 25: 1307-1322. PMID: 16217846, DOI: 10.1002/sim.2270.
- Control Group Bias in Randomized Atypical Antipsychotic Medication Trials for SchizophreniaWoods SW, Gueorguieva RV, Baker CB, Makuch RW. Control Group Bias in Randomized Atypical Antipsychotic Medication Trials for Schizophrenia JAMA Psychiatry 2005, 62: 961-970. PMID: 16143728, DOI: 10.1001/archpsyc.62.9.961.
- Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit‐Specific OutcomesGueorguieva RV. Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit‐Specific Outcomes Biometrics 2005, 61: 862-866. PMID: 16135040, DOI: 10.1111/j.1541-020x.2005.00409_1.x.
- Move Over ANOVA: Progress in Analyzing Repeated-Measures Data andIts Reflection in Papers Published in the Archives of General PsychiatryGueorguieva R, Krystal JH. Move Over ANOVA: Progress in Analyzing Repeated-Measures Data andIts Reflection in Papers Published in the Archives of General Psychiatry JAMA Psychiatry 2004, 61: 310-317. PMID: 14993119, DOI: 10.1001/archpsyc.61.3.310.
- A Risk Assessment Screening Test for Very Low Birth WeightGueorguieva RV, Sarkar NP, Carter RL, Ariet M, Roth J, Resnick MB. A Risk Assessment Screening Test for Very Low Birth Weight Maternal And Child Health Journal 2003, 7: 127-136. PMID: 12870628, DOI: 10.1023/a:1023821127953.
- A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential familyGueorguieva R. A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential family Statistical Modelling 2001, 1: 177-193. DOI: 10.1177/1471082x0100100302.
- A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous ResponsesGueorguieva R, Agresti A. A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses Journal Of The American Statistical Association 2001, 96: 1102-1112. DOI: 10.1198/016214501753208762.
- Effect of Teenage Pregnancy on Educational Disabilities in KindergartenGueorguieva R, Carter R, Ariet M, Roth J, Mahan C, Resnick M. Effect of Teenage Pregnancy on Educational Disabilities in Kindergarten American Journal Of Epidemiology 2001, 154: 212-220. PMID: 11479185, DOI: 10.1093/aje/154.3.212.
- The Impact of Low Birth Weight, Perinatal Conditions, and Sociodemographic Factors on Educational Outcome in KindergartenResnick M, Gueorguieva R, Carter R, Ariet M, Sun Y, Roth J, Bucciarelli R, Curran J, Mahan C. The Impact of Low Birth Weight, Perinatal Conditions, and Sociodemographic Factors on Educational Outcome in Kindergarten Pediatrics 1999, 104: e74-e74. PMID: 10586008, DOI: 10.1542/peds.104.6.e74.
- Genetic Mapping of 20 Novel Expressed Sequence Tags from Midgestation Mouse Embryos Suggests Chromosomal ClusteringTchernev V, Barbosa M, Detter J, Patel T, Achey K, Wakeland E, Gueorguieva R, Yang M, Gossler A, Kingsmore S. Genetic Mapping of 20 Novel Expressed Sequence Tags from Midgestation Mouse Embryos Suggests Chromosomal Clustering Genomics 1997, 40: 170-174. PMID: 9070936, DOI: 10.1006/geno.1996.4564.
Clinical Trials
Conditions | Study Title |
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Addictive Behaviors; Alcohol Addiction; Mental Health & Behavioral Research | Behavioral and Neurochemical Mechanisms Underlying Stress-Precipitated Drinking |