2024
Choosing Between the Bi-Factor and Second-Order Factor Models: A Direct Test Using Latent Variable Modeling
Raykov T, Calvocoressi L, Schumacker R. Choosing Between the Bi-Factor and Second-Order Factor Models: A Direct Test Using Latent Variable Modeling. Measurement Interdisciplinary Research And Perspectives 2024, 22: 31-50. DOI: 10.1080/15366367.2023.2173547.Peer-Reviewed Original Research
2023
A Note on Comparing the Bifactor and Second-Order Factor Models: Is the Bayesian Information Criterion a Routinely Dependable Index for Model Selection?
Raykov T, DiStefano C, Calvocoressi L. A Note on Comparing the Bifactor and Second-Order Factor Models: Is the Bayesian Information Criterion a Routinely Dependable Index for Model Selection? Educational And Psychological Measurement 2023, 84: 271-288. PMID: 38898876, PMCID: PMC11185100, DOI: 10.1177/00131644231166348.Peer-Reviewed Original Research
2022
On Effect Size Measures for Nested Measurement Models
Raykov T, DiStefano C, Calvocoressi L, Volker M. On Effect Size Measures for Nested Measurement Models. Educational And Psychological Measurement 2022, 82: 1225-1246. PMID: 36325123, PMCID: PMC9619317, DOI: 10.1177/00131644211066845.Peer-Reviewed Original ResearchEffect size measuresNumerical examplesFactor analysis modelParameter restrictionsLinear combinationTerms of fitExplicit relationshipObserved variablesManifest variablesSize measuresEffect size indexConfirmatory factor analysis modelMeasurement modelPopular softwareModelSample sizeAnalysis modelVariablesPleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
Walsh KM, Zhang C, Calvocoressi L, Hansen HM, Berchuck A, Schildkraut JM, Bondy ML, Wrensch M, Wiemels JL, Claus EB. Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers. Neuro-Oncology Advances 2022, 4: vdac044. PMID: 35702670, PMCID: PMC9187056, DOI: 10.1093/noajnl/vdac044.Peer-Reviewed Original ResearchRisk of meningiomaOvarian cancerBreast cancerER- breast cancerEstrogen receptor statusBody mass indexFemale breast cancerRisk of tumorsReceptor statusMass indexEstrogenic mechanismsHormonal factorsGenome-wide association studiesMeningiomasNormal meningesCancerMinor alleleCase-control datasetUK BiobankExpression quantitative trait lociMeningesRiskTumorsBreastAdiposity traits
2021
Translation and Cross-Cultural Adaptation of the Family Accommodation Scale for Obsessive-Compulsive Disorder Into Chinese.
Liao Z, You C, Chen Y, Yan L, Zhang J, Li F, Calvocoressi L, Ding L. Translation and Cross-Cultural Adaptation of the Family Accommodation Scale for Obsessive-Compulsive Disorder Into Chinese. Journal Of Cognitive Psychotherapy 2021, 35: 41-52. PMID: 33397786, DOI: 10.1891/jcpsy-d-20-00020.Peer-Reviewed Original ResearchCross-cultural adaptationOriginal English scaleLanguage adjustmentEnglish scaleFamily Accommodation ScaleConceptual equivalenceEnglish versionCultural adaptationPilot administrationChinese scaleChinese versionTranslationSteps of translationDifferent education levelsMinor editsChineseAccommodation ScalePretest stageVersionDifferent socioeconomic statusAccommodationPeopleEditsAdaptationFamily members
2020
Model Selection and Average Proportion Explained Variance in Exploratory Factor Analysis
Raykov T, Calvocoressi L. Model Selection and Average Proportion Explained Variance in Exploratory Factor Analysis. Educational And Psychological Measurement 2020, 81: 1203-1220. PMID: 34565821, PMCID: PMC8451025, DOI: 10.1177/0013164420963162.Peer-Reviewed Original ResearchQuality and Publication of Emergency Medicine Trials Registered in ClinicalTrials.gov
Calvocoressi L, Reynolds J, Johnson B, Warzoha MM, Carroll M, Vaca FE, Post L, Dziura J. Quality and Publication of Emergency Medicine Trials Registered in ClinicalTrials.gov. Western Journal Of Emergency Medicine 2020, 21: 295-303. PMID: 32191186, PMCID: PMC7081876, DOI: 10.5811/westjem.2019.12.44096.Peer-Reviewed Original ResearchConceptsClinical trialsEM trialsKaplan-Meier curvesLog-rank testNational clinical trialClinical trial researchChi-square testEM studiesTrial qualityInterventional trialsPeer-reviewed journalsMedicine trialsNeurological conditionsLarger sample sizeTrial researchStudy characteristicsStudy periodTrialsNational InstituteSubspecialty areasBlindingPeriodic assessmentDescriptive statisticsHigher proportionIndustry funding
2019
MNGI-12. PLEIOTROPIC MLLT10 VARIATION CONFERS RISK OF MENINGIOMA, BREAST, AND OVARIAN CANCERS
Walsh K, Zhang C, Calvocoressi L, Hansen H, Berchuck A, Schildkraut J, Bondy M, Wiemels J, Claus E. MNGI-12. PLEIOTROPIC MLLT10 VARIATION CONFERS RISK OF MENINGIOMA, BREAST, AND OVARIAN CANCERS. Neuro-Oncology 2019, 21: vi142-vi142. PMCID: PMC6847155, DOI: 10.1093/neuonc/noz175.594.Peer-Reviewed Original ResearchBody mass indexER- breast cancerRisk of meningiomaOvarian cancerBreast cancerMeningioma riskCancer riskElevated body mass indexHigher body fat percentageRisk allelesExogenous hormone useEstrogen receptor statusFemale breast cancerBreast cancer riskOvarian cancer riskBody fat percentageEndogenous hormonal factorsRecent genome-wide association studiesReceptor statusWaist circumferenceHormone useMass indexEpidemiologic studiesEstrogenic mechanismsHigh riskSocial media partnerships with patient organizations for neuro-oncology patient recruitment
Claus EB, Feliciano J, Benz LS, Calvocoressi L. Social media partnerships with patient organizations for neuro-oncology patient recruitment. Neuro-Oncology Practice 2019, 7: 143-151. PMID: 32626583, PMCID: PMC7318861, DOI: 10.1093/nop/npz049.Peer-Reviewed Original ResearchNeuro-oncology patientsPatient organizationsNational Cancer Institute's SurveillanceEnd Results (SEER) dataTumor RegistryPathology reportsTreatment responsePatient recruitmentEpidemiologic studiesNeuro-oncologyPatientsYale University SchoolSaliva specimenSuccessful enrollmentEnrollment methodsDisease etiologyAssociation websitesRegistryPublic healthUniversity SchoolParticipant populationResult dataSurveillanceOnline questionnaireParticipantsMendelian randomization provides support for obesity as a risk factor for meningioma
Takahashi H, Cornish AJ, Sud A, Law PJ, Disney-Hogg L, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Schildkraut JM, Simon M, Bondy M, Wrensch M, Wiemels JL, Claus EB, Turnbull C, Houlston RS. Mendelian randomization provides support for obesity as a risk factor for meningioma. Scientific Reports 2019, 9: 309. PMID: 30670737, PMCID: PMC6343031, DOI: 10.1038/s41598-018-36186-6.Peer-Reviewed Original ResearchConceptsRisk of meningiomaMeningioma riskObesity-related traitsLipoprotein cholesterolBlood pressureRisk factorsOdds ratioLow-density lipoprotein cholesterolHigh-density lipoprotein cholesterolMendelian randomizationCause of meningiomaGenetic instrumentsDiastolic blood pressureEpidemiological observational studiesSystolic blood pressureBody mass indexBody fat percentageWaist circumferenceTotal cholesterolMass indexObservational studyMeningioma patientsMeningiomasBasal metabolic rateObesity
2018
Validation of the International Guide for Monitoring Child Development demonstrates good sensitivity and specificity in four diverse countries
Ertem IO, Krishnamurthy V, Mulaudzi MC, Sguassero Y, Bilik B, Srinivasan R, Balta H, Gulumser O, Gan G, Calvocoressi L, Johnson B, Shabanova V, Forsyth B. Validation of the International Guide for Monitoring Child Development demonstrates good sensitivity and specificity in four diverse countries. Acta Paediatrica 2018, 108: 1074-1086. PMID: 30472813, PMCID: PMC6520130, DOI: 10.1111/apa.14661.Peer-Reviewed Original ResearchProstate cancer aggressiveness and age: Impact of p53, BCL-2 and microvessel density
Calvocoressi L, Uchio E, Ko J, Radhakrishnan K, Aslan M, Concato J. Prostate cancer aggressiveness and age: Impact of p53, BCL-2 and microvessel density. Journal Of Investigative Medicine 2018, 66: 1142. PMID: 30297390, DOI: 10.1136/jim-2018-000804.Peer-Reviewed Original ResearchConceptsGleason scoreMicrovessel densityProstate cancerBcl-2Prostate-specific antigen levelProstate cancer deathAdvanced prostate cancerAggressive prostate cancerB-cell lymphoma 2Prostate cancer aggressivenessPositive Bcl-2Impact of p53Cell lymphoma 2Anatomic stageMen 70Adjusted ORsAntigen levelsCategories of ageCancer deathElderly menDisease progressionImmunohistochemical stainingStudy populationCancer aggressivenessProstate tumorsGenome-wide association analysis identifies a meningioma risk locus at 11p15.5
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Swerdlow A, Larsen SB, Johansen C, Simon M, Bondy M, Wrensch M, Houlston RS, Wiemels JL. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology 2018, 20: 1485-1493. PMID: 29762745, PMCID: PMC6176799, DOI: 10.1093/neuonc/noy077.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCase-Control StudiesChromosomes, Human, Pair 11FemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMaleMeningeal NeoplasmsMeningiomaMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsYoung AdultConceptsGenome-wide association studiesRisk lociGenome-wide association analysisSusceptibility lociNeural crest-derived structuresSignificant heritable basisNumber of genesIndependent sample seriesNew susceptibility lociHeritable basisGenetic basisGenome ProjectAssociation studiesAssociation analysisLinkage disequilibriumLociMeningioma developmentReference panelPolygenic modelCentral roleUK10K dataAdult brain tumorsRIC8AMeningeal coveringsGenesSimilarities and differences in child development from birth to age 3 years by sex and across four countries: a cross-sectional, observational study
Ertem IO, Krishnamurthy V, Mulaudzi MC, Sguassero Y, Balta H, Gulumser O, Bilik B, Srinivasan R, Johnson B, Gan G, Calvocoressi L, Shabanova V, Forsyth BWC. Similarities and differences in child development from birth to age 3 years by sex and across four countries: a cross-sectional, observational study. The Lancet Global Health 2018, 6: e279-e291. PMID: 29433666, DOI: 10.1016/s2214-109x(18)30003-2.Peer-Reviewed Original ResearchConceptsMedian ageHealthy childrenObservational studyChild healthMotor milestonesHealthy subsampleHealth statusEunice Kennedy Shriver National InstituteDevelopmental milestonesChild health statusGross motor milestonesMonitoring Child DevelopmentFine motor milestonesAge 3 yearsSelf-help domainLanguage milestonesPerinatal complicationsMiddle-income countriesLow birthweightChronic illnessHealth clinicsAge of attainmentFine motorChild developmentPercentile age
2016
MNGO-11. REPORT FROM THE MENINGIOMA CONSORTIUM: CONFIRMATION OF A MENINGIOMA RISK LOCUS AT 10p12
Claus E, Calvocoressi L, Schildkraut J, Walsh K, Hansen H, Smirnov I, McCoy L, Lu L, Ma X, Bondy M, Wrensch M, Wiemels J. MNGO-11. REPORT FROM THE MENINGIOMA CONSORTIUM: CONFIRMATION OF A MENINGIOMA RISK LOCUS AT 10p12. Neuro-Oncology 2016, 18: vi103-vi103. DOI: 10.1093/neuonc/now212.432.Peer-Reviewed Original ResearchOdds ratioMeningioma riskMeningioma casesPrimary brain tumorsPopulation-based controlsCase/control studyNon-Hispanic CaucasiansAllele odds ratioGenome-wide association studiesKaiser Permanente Research ProgramSpinal cordSuch lesionsBrain tumorsControl studyConfidence intervalsFirst genome-wide association studyMeningiomasTumorsRisk lociUnited StatesSusceptibility lociRiskPsychometric Properties of the Family Accommodation Scale for Obsessive–Compulsive Disorder–Patient Version
Wu MS, Pinto A, Horng B, Phares V, McGuire JF, Dedrick RF, Van Noppen B, Calvocoressi L, Storch EA. Psychometric Properties of the Family Accommodation Scale for Obsessive–Compulsive Disorder–Patient Version. Psychological Assessment 2016, 28: 251-262. PMID: 26075408, DOI: 10.1037/pas0000165.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderFamily accommodationFamily Accommodation ScaleOCD symptom severityFamily functioningAccommodation ScalePsychometric propertiesSymptom severitySelf-report measuresInternal consistencyObsessive-compulsive symptom severityClinician-rated measuresSelf-report questionnairesSound psychometric propertiesGood internal consistencyOCD participantsTotal scoreTest-retest reliabilityBehavioral difficultiesPatient-reported versionDivergent validityFunctional impairmentConvergent validityFunctioningDepressive symptoms
2014
Endogenous and exogenous hormone exposure and the risk of meningioma in men.
Schildkraut JM, Calvocoressi L, Wang F, Wrensch M, Bondy ML, Wiemels JL, Claus EB. Endogenous and exogenous hormone exposure and the risk of meningioma in men. Journal Of Neurosurgery 2014, 120: 820-6. PMID: 24484233, PMCID: PMC4386752, DOI: 10.3171/2013.12.jns131170.Peer-Reviewed Original ResearchConceptsBody mass indexMeningioma riskOdds ratioHigher body mass indexExogenous hormone exposureMultivariate logistic regressionRelated risk factorsConfidence intervalsRisk of meningiomaPrevalence of exposureConsiderable morbidityMale patientsMass indexRisk factorsEndogenous estrogensReduced riskHormonal factorsHormone exposureIntracranial meningiomasExogenous exposureMeningiomasLogistic regressionUse of soyMenRisk
2013
Development and preliminary psychometric evaluation of a self-rated version of the Family Accommodation Scale for Obsessive-Compulsive Disorder
Pinto A, Van Noppen B, Calvocoressi L. Development and preliminary psychometric evaluation of a self-rated version of the Family Accommodation Scale for Obsessive-Compulsive Disorder. Journal Of Obsessive-Compulsive And Related Disorders 2013, 2: 457-465. PMID: 24855596, PMCID: PMC4024376, DOI: 10.1016/j.jocrd.2012.06.001.Peer-Reviewed Original ResearchObsessive-compulsive disorderFamily Accommodation ScaleFamily accommodationSelf-rated versionAccommodation ScalePrimary obsessive-compulsive disorderFamily-based interventionsPreliminary psychometric evaluationExcellent internal consistencyRelatives of individualsOCD familiesCompulsive disorderTraining interviewersInitial psychometric testingPatients' ritualsCriterion measuresValid measurePoor treatment outcomesInternal consistencyPsychometric evaluationPsychometric testingTreatment outcomesPresent study reportsDisordersFamily members
2012
Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females.
Claus EB, Calvocoressi L, Bondy ML, Wrensch M, Wiemels JL, Schildkraut JM. Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females. Journal Of Neurosurgery 2012, 118: 649-56. PMID: 23101448, PMCID: PMC3756881, DOI: 10.3171/2012.9.jns12811.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge of OnsetAgedBody Mass IndexBreast FeedingConnecticutContraceptives, OralEstrogen Replacement TherapyFemaleHumansMassachusettsMenarcheMeningeal NeoplasmsMeningiomaMenopauseMiddle AgedMultivariate AnalysisNorth CarolinaOdds RatioParityRegistriesReproductive HistoryRisk AssessmentRisk FactorsSan FranciscoSmokingTexasConceptsBody mass indexMeningioma riskMass indexIntracranial meningiomasExogenous hormone useHormone replacement therapyRisk of meningiomaYears of ageCurrent useResidents of ConnecticutHormone medicationWomen 29Postmenopausal womenPremenopausal womenCurrent smokingFertility medicationsOral contraceptivesHormone useMenstrual factorsSignificant positive associationCigarette smokingReplacement therapyRisk factorsReproductive factorsSignificant elevationFAMILY ACCOMMODATION IN PEDIATRIC ANXIETY DISORDERS
Lebowitz ER, Woolston J, Bar‐Haim Y, Calvocoressi L, Dauser C, Warnick E, Scahill L, Chakir AR, Shechner T, Hermes H, Vitulano LA, King RA, Leckman JF. FAMILY ACCOMMODATION IN PEDIATRIC ANXIETY DISORDERS. Depression And Anxiety 2012, 30: 47-54. PMID: 22965863, PMCID: PMC3932435, DOI: 10.1002/da.21998.Peer-Reviewed Original ResearchConceptsChildhood anxiety disordersFamily Accommodation ScaleFamily accommodationAnxiety disordersMeasures of anxietyFamilies of childrenObsessive-compulsive disorderGood internal consistencyTwo-factor solutionAnxious childrenPediatric anxietyAccommodation ScaleSeparation anxietyGreater symptom severityAnxiety symptomsCompulsive disorderDivergent validityFamily routinesAnxietyDiagnostic InterviewPoor treatment outcomesInternal consistencySymptom severityMost parentsFactor analysis