
Patrick CurranBaylor University | BU · Department of Biology
Patrick Curran
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140
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Publications (140)
Objective:
The aim of this naturalistic process study was to investigate the relationship between self-compassion, fear of compassion from others, and depressive symptoms over the course of psychotherapy in patients with chronic depression.
Method:
A sample of 226 patients with chronic depression who received inpatient short-term psychodynamic p...
Combining datasets in an integrative data analysis (IDA) requires researchers to make a number of decisions about how best to harmonize item responses across datasets. This entails two sets of steps: logical harmonization, which involves combining items which appear similar across datasets, and analytic harmonization, which involves using psychomet...
Chromosome 15q11.2-q13.1 duplication syndrome (Dup15q syndrome) is a severe neurodevelopmental disorder characterized by intellectual disability, impaired motor coordination, and autism spectrum disorder. Chromosomal multiplication of the UBE3A gene is presumed to be the primary driver of Dup15q pathophysiology, given that UBE3A exhibits maternal m...
Goal:
Perceived organizational support (POS) may promote healthcare worker mental health, but organizational factors that foster POS during the COVID-19 pandemic are unknown. The goals of this study were to identify actions and policies regarding COVID-19 that healthcare organizations can implement to promote POS and to evaluate the impact of POS...
Objective:
The aim of this naturalistic process study was to investigate the relationship between emotional clarity and tolerance of emotional distress and depressive symptoms over the course of short-term psychodynamic psychotherapy for chronically depressed patients.
Method:
Weekly self-reports of emotional clarity, tolerance of emotional dist...
One of the most vexing challenges facing developmental researchers today is the statistical modeling of two or more behaviors as they unfold jointly over time. Although quantitative methodologists have studied these issues for more than half a century, no widely agreed‐upon principled strategy exists to empirically analyze codevelopmental processes...
Background
The burden of COVID-19 in low-income and conflict-affected countries remains unclear, largely reflecting low testing rates. In parts of Yemen, reports indicated a peak in hospital admissions and burials during May–June 2020. To estimate excess mortality during the epidemic period, we quantified activity across all identifiable cemeteries...
Background
The burden of COVID-19 in low-income and conflict-affected countries is still unclear, largely reflecting low testing rates. In parts of Yemen, reports indicated a peak in hospital admissions and burials during May-June 2020. To estimate excess mortality during the epidemic period, we quantified activity across all identifiable cemeterie...
In the current study, we used an analogue integrative data analysis (IDA) design to test optimal scoring strategies for harmonizing alcohol- and drug-use consequence measures with varying degrees of alteration across four study conditions. We evaluated performance of mean, confirmatory factor analysis (CFA), and moderated nonlinear factor analysis...
Although there is empirical evidence supporting associations between exposure to violence and engaging in physically aggressive behavior during adolescence, there is limited longitudinal research to determine the extent to which exposure to violence is a cause or a consequence of physical aggression, and most studies have not addressed the influenc...
In this chapter, we introduce Integrative Data Analysis (IDA) for use in the field of Global Health. IDA is a novel framework for simultaneous analysis of individual-level data pooled from multiple studies. This framework has been applied to address questions about substance use, cancer, HIV, and rare diseases from studies around the world. Advanta...
Conducting valid and reliable empirical research in the prevention sciences is an inherently difficult and challenging task. Chief among these is the need to obtain numerical scores of underlying theoretical constructs for use in subsequent analysis. This challenge is further exacerbated by the increasingly common need to consider multiple reporter...
Background
Attention‐deficit/hyperactivity disorder (ADHD) is associated with greater heavy alcohol use and depressive symptoms in adulthood. Yet, few studies have investigated whether childhood ADHD predicts an increased association between heavy drinking and depression in adulthood when this co‐occurrence becomes more common. We examined associat...
Background:
With increasing data archives comprised of studies with similar measurement, optimal methods for data harmonization and measurement scoring are a pressing need. We compare three methods for harmonizing and scoring the AUDIT as administered with minimal variation across 11 samples from eight study sites within the STTR (Seek-Test-Treat-...
The structure of adolescents’ families, and thus parental forms, in the United States, have become more heterogeneous and fluid over the past several decades. These changes are due to increases in never‐married, single parents, divorce, cohabitation, same‐sex parenting, multipartnered fertility, and co‐residence with grandparents. We document curre...
Although it is currently best practice to directly model latent factors whenever feasible, there remain many situations in which this approach is not tractable. Recent advances in covariate-informed factor score estimation can be used to provide manifest scores that are used in second-stage analysis, but these are currently understudied. Here we ex...
A wealth of information is currently known about the epidemiology, etiology, and evaluation of drug and alcohol use across the life span. Despite this corpus of knowledge, much has yet to be learned. Many factors conspire to slow the pace of future advances in the field of substance use including the need for long-term longitudinal studies of often...
A challenge facing nearly all studies in the psychological sciences is how to best combine multiple items into a valid and reliable score to be used in subsequent modeling. The most ubiquitous method is to compute a mean of items, but more contemporary approaches use various forms of latent score estimation. Regardless of approach, outside of large...
The current study demonstrates the application of an analytic approach for incorporating multiple time trends in order to examine the impact of cohort effects on individual trajectories of eight drugs of abuse. Parallel analysis of two independent, longitudinal studies of high-risk youth that span ages 10 to 40 across 23 birth cohorts between 1968...
Adolescent alcohol use is a serious public health concern. Despite advances in the theoretical conceptualization of pathways to alcohol use, researchers are limited by the statistical techniques currently available. Researchers often fit linear models and restrictive categorical models (e.g., proportional odds models) to ordinal data with many resp...
Amid recent progress in cognitive development research, high-quality data resources are accumulating, and data sharing and secondary data analysis is becoming an increasingly valuable tool. Integrative data analysis (IDA) is an exciting analytical framework that can enhance secondary data analysis in powerful ways. IDA pools item level data across...
Integrative data analysis (IDA) is a methodological framework that allows for the fitting of models to data that have been pooled across 2 or more independent sources. IDA offers many potential advantages including increased statistical power, greater subject heterogeneity, higher observed frequencies of low base-rate behaviors, and longer developm...
A few years back I became friends with a research scientist who was a member of a molecular physics lab on campus. We mostly spent our time arguing about baseball (the pitcher should always bat), but occasionally we would talk about work. He was researching the development of a space elevator that consisted of a satellite placed in geosynchronous o...
Social and behavioral scientists often measure constructs that are truly discrete counts by collapsing (or binning) the counts into a smaller number of ordinal responses. While prior quantitative research has identified a series of concerns with similar binning procedures, there has been a lack of study on the consequences of multiplying these ordi...
Objective:
Although recent statistical and computational developments allow for the empirical testing of psychological theories in ways not previously possible, one particularly vexing challenge remains: how to optimally model the prospective, reciprocal relations between 2 constructs as they developmentally unfold over time. Several analytic meth...
A new class of quinoline-based kinase inhibitors has been discovered that both disrupt cyclin dependent 2 (CDK2) interaction with its cyclin A subunit and act as ATP competitive inhibitors. The key strategy for discovering this class of protein-protein disrupter compounds was to screen the monomer CDK2 in an affinity-selection/mass spectrometry-bas...
The last 25 years have seen significant advances in our conceptualization of alcohol use and alcohol use disorders within a developmental framework, along with advances in our empirical understanding that have been potentiated by advances in quantitative methods. These include advances in understanding the heterogeneity of trajectories of alcohol o...
Psychologists often obtain ratings for target individuals from multiple informants such as parents or peers. In this article we propose a trifactor model for multiple informant data that separates target-level variability from informant-level variability and item-level variability. By leveraging item-level data, the trifactor model allows for exami...
Integrative data analysis (IDA), a novel framework for conducting the simultaneous analysis of raw data pooled from multiple studies, offers many advantages including economy (i.e., reuse of extant data), power (i.e., large combined sample sizes), the potential to address new questions not answerable by a single contributing study (e.g., combining...
Startle habituation is present in all startle studies, whether as a dependent variable, discarded habituation block, or ignored nuisance. However, there is still much that remains unknown about startle habituation, including: (1) what is the nature of the startle habituation curve?; (2) at what point does startle habituation approach an asymptote?;...
The current study examined the distal, proximal, and time-varying effects of parents' alcohol-related consequences on adolescents' substance use. Previous studies show that having a parent with a lifetime diagnosis of alcoholism is a clear risk factor for adolescents' own substance use. Less clear is whether the timing of a parent's alcohol-related...
Research on the relation between childhood attention-deficit/hyperactivity disorder (ADHD) and adolescent alcohol use has found mixed results. Studies are needed that operationalize alcohol use in developmentally appropriate ways and that test theoretically plausible moderators and mediators in a longitudinal framework. The current study tested chi...
A series of substituted imidazo[1,2-a]pyrazin-8-amines were discovered as novel breast tumor kinase (Brk)/protein tyrosine kinase 6 (PTK6) inhibitors. Tool compounds with low-nanomolar Brk inhibition activity, high selectivity towards other kinases and desirable DMPK properties were achieved to enable the exploration of Brk as an oncology target.
Cyclin dependent kinase 2 (CDK2) is aberrantly regulated in a wide range of cancers and small molecule inhibitors should be beneficial in the treatment of cancer. Preclinical and clinical CDK2 inhibitors are ATP competitive and bind at the ATP site in a canonical mode. A novel binding mode for a new class of quinoline-based inhibitors of CDK2 has b...
Protein kinase 6 (PTK6) is a member of the Frk family of non-receptor tyrosine kinase that is overexpressed in several types of cancers with the highest overexpression observed in breast tumors. PTK6 shows sequence homology to the src tyrosine kinase family. Its functional domains, including a SH3, a SH2 and a kinase domain, are arranged similarly...
We report a series of potent imidazo[1,2-a]pyrazine-based Aurora kinase inhibitors. Optimization of the solvent accessible 8-position led to improvements in both oral bioavailability and off-target kinase inhibition. Compound 25 demonstrates anti-tumor activity in an A2780 ovarian tumor xenograft model.
The synthesis and structure-activity relationships (SAR) of novel, potent imidazo[1,2-a]pyrazine-based Aurora kinase inhibitors are described. The X-ray crystal structure of imidazo[1,2-a]pyrazine Aurora inhibitor 1j is disclosed. Compound 10i was identified as lead compound with a promising overall profile.
The imidazo-[1,2-a]-pyrazine (1) is a dual inhibitor of Aurora kinases A and B with modest cell potency (IC50 = 250 nM) and low solubility (5 μM). Lead optimization guided by the binding mode led to the acyclic amino alcohol 12k (SCH 1473759), which is a picomolar inhibitor of Aurora kinases (TdF Kd Aur A = 0.02 nM and Aur B = 0.03 nM) with improve...
Longitudinal data analysis has long played a significant role in empirical research within the developmental sciences. The past decade has given rise to a host of new and exciting analytic methods for studying between-person differences in within-person change. These methods are broadly organized under the term growth curve models. The historical l...
Although previous studies show that children of alcoholic parents have higher rates of externalizing symptoms compared to their peers, it remains unclear whether the timing of children's externalizing symptoms is linked to that of their parent's alcohol-related symptoms. Using a multilevel modeling approach, we tested whether children aged 2 throug...
A novel series of TNF-alpha convertase (TACE) inhibitors which are non-hydroxamate have been discovered. These compounds are bis-amides of L-tartaric acid (tartrate) and coordinate to the active site zinc in a tridentate manner. They are selective for TACE over other MMP's. We report the first X-ray crystal structure for a tartrate-based TACE inhib...
The present paper describes a novel series of HCV RNA polymerase inhibitors based on a pyrazolo[1,5-a]pyrimidine scaffold bearing hydrophobic groups and an acidic functionality. Several compounds were optimized to low nanomolar potencies in a biochemical RdRp assay. SAR trends clearly reveal a stringent preference for a cyclohexyl group as one of t...
The goal of any empirical science is to pursue the construction of a cumulative base of knowledge upon which the future of the science may be built. However, there is mixed evidence that the science of psychology can accurately be characterized by such a cumulative progression. Indeed, some argue that the development of a truly cumulative psycholog...
There are both quantitative and methodological techniques that foster the development and maintenance of a cumulative knowledge base within the psychological sciences. Most noteworthy of these techniques is meta-analysis, which allows for the synthesis of summary statistics drawn from multiple studies when the original data are not available. Howev...
Longitudinal models are becoming increasingly prevalent in the behavioral sciences, with key advantages including increased power, more comprehensive measurement, and establishment of temporal precedence. One particularly salient strength offered by longitudinal data is the ability to disaggregate between-person and within-person effects in the reg...
Patterns of smoking behavior over time exhibit substantial variation, and these patterns, in turn, hold the potential to inform possible phenotypes of tobacco use and dependence. This chapter examines the literature concerning developmental trajectories of cigarette smoking between adolescence and adulthood. It also presents an empirical example th...
This longitudinal study was designed to (a) examine changes in children's deliberate memory across the 1st grade; (b) characterize the memory-relevant aspects of their classrooms; and (c) explore linkages between the children's performance and the language their teachers use in instruction. To explore contextual factors that may facilitate the deve...
To investigate the relation between developmental phenotypes of parental smoking (trajectories of smoking from adolescence to adulthood) and the intergenerational transmission of smoking to their adolescent children.
A longitudinal, multigenerational study of a midwestern community sample followed individuals from adolescence into adulthood and was...
A large literature emphasizes the importance of testing for measurement equivalence in scales that may be used as observed variables in structural equation modeling applications. When the same construct is measured across more than one developmental period, as in a longitudinal study, it can be especially critical to establish measurement equivalen...
This article is an empirical evaluation of the choice of fixed cutoff points in assessing the root mean square error of approximation (RMSEA) test statistic as a measure of goodness-of-fit in Structural Equation Models. Using simulation data, the authors first examine whether there is any empirical evidence for the use of a universal cutoff, and th...
We tested whether children show greater internalizing symptoms when their parents are actively abusing alcohol. In an integrative data analysis, we combined
observations over ages 2 through 17 from two longitudinal studies of children of alcoholic parents and matched controls recruited from the community. Using a mixed
modeling approach, we tested...
There are a number of significant challenges researchers encounter when studying development over an extended period of time, including subject attrition, the changing of measurement structures across groups and developmental periods, and the need to invest substantial time and money. Integrative data analysis is an emerging set of methodologies th...
Adopting a developmental epidemiology perspective, the current study examines sources of risk heterogeneity for internalizing symptomatology among children of alcoholic parents (COAs). Parent-based factors, including comorbid diagnoses and the number of alcoholic parents in the family, as well as child-based factors, namely child gender, formed the...
Multilevel models have come to play an increasingly important role in many areas of social science research. However, in contrast to other modeling strategies, there is currently no widely used approach for graphically diagramming multilevel models. Ideally, such diagrams would serve two functions: to provide a formal structure for deriving the und...
This article compares maximum likelihood (ML) estimation to three variants of two-stage least squares (2SLS) estimation in structural equation models. The authors use models that are both correctly and incorrectly specified. Simulated data are used to assess bias, efficiency, and accuracy of hypothesis tests. Generally, 2SLS with reduced sets of in...
The authors examined heterogeneity in risk for externalizing symptoms in children of alcoholic parents, as it may inform the search for entry points into an antisocial pathway to alcoholism. That is, they tested whether the number of alcoholic parents in a family, the comorbid subtype of parental alcoholism, and the gender of the child predicted tr...
This manuscript describes an affinity selection-mass spectrometry (AS-MS) method for quantitative protein-ligand binding affinity (Kd) measurements in large compound libraries. The ability of a titrant ligand to displace a target-bound library member-as measured by MS-reveals the affinity ranking of the mixture component relative to "internal affin...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel or hierarchical linear modeling (HLM) and latent curve analysis (LCA). However, conducting these tests and plotting the condition...
An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts a...
Conditional Model and AssumptionsIdentificationStructural Equation Modeling ApproachInterpretation of Conditional Model EstimatesEmpirical ExampleConclusions
Dummy Variable ApproachMultiple-Group AnalysisUnknown Group MembershipConclusions
Appendix 6A: Case-by-Case Approach to Analysis of Various Groups
Repeated MeasuresGeneral Model and AssumptionsIdentificationCase-By-Case ApproachStructural Equation Model ApproachAlternative Approaches to the SEMConclusions
Appendix 2A: Test Statistics, Nonnormality, and Statistical Power
Conceptualization and Analysis of TrajectoriesThree Initial Questions About TrajectoriesBrief History of Latent Curve ModelsOrganization of the Remainder of the Book
Modeling Nonlinear Functions of TimeNonlinear Curve Fitting: Estimated Factor LoadingsPiecewise Linear Trajectory ModelsAlternative Parametric FunctionsLinear Transformations of the Metric of TimeConclusions
Appendix 4A: Identification of Quadratic and Piecewise Latent Curve Models
Time-Invariant CovariatesTime-Varying CovariatesSimultaneous Inclusion of Time-Invariant and Time-Varying CovariatesMultivariate Latent Curve ModelsAutoregressive Latent Trajectory ModelGeneral Equation for All ModelsImplied Moment MatricesConclusions
Dichotomous and Ordinal Repeated MeasuresRepeated Latent Variables with Multiple IndicatorsLatent CovariatesConclusions
Missing DataMissing Data and Alternative Metrics of TimeConclusions
Many important research hypotheses concern conditional relations in which the ef- fect of one predictor varies with the value of another. Such relations are commonly evaluated as multiplicative interactions and can be tested in both fixed- and ran- dom-effects regression. Often, these interactive effects must be further probed to fully explicate th...
Aminothiazole-based inhibitors designed for HCV polymerase display low micromolar potencies in biochemical assays. These compounds show a stringent preference for a cyclohexyl hydrophobe at the 2-amino position. The composition of these compounds suggests that they may be interacting at a recently discovered allosteric site on the polymerase.
Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least squares (WLS) or robust WLS. Importantly, this approach assumes that a continuous, normal latent proces...
The NeoGenesis Automated Ligand Identification System (ALIS), an affinity selection–mass spectrometry (AS–MS) process consisting of a rapid size-exclusion chromatography stage integrated with reverse-phase chromatography, electrospray mass spectrometry, and novel data searching algorithms, was used to screen mass-encoded, 2500-member combinatorial...
We are honored to have the opportunity to offer a few words in response to Molenaar's manifesto (this issue) calling for the return of the individual to scientific psychology. His arguments are clearly articulated, strongly supported, and quite timely, particularly given the recent surge in popularity of longitudinal studies of individual developme...