Search results for "Treatment effect"

showing 10 items of 29 documents

Interactions, spillovers de connaissance et croissance des villes européennes. Faut-il préférer la géographie, le climat institutionnel ou les réseau…

2013

Knowledge spillovers within urban economies are also sources of spillovers between cities. We examine how knowledge spillovers influenced the economic growth of 82 European metropolises over the 1990-2005 period. We model knowledge spillovers between cities on the basis of five specific interaction patterns based on geography, networks of multinational firms in advanced services, institutional climate and two combinations of these factors. Spatial models are estimated to detail the effects of growth factors in terms of spillovers and externalities. We show that spillovers are local rather than global and that interactions among cities accelerate the convergence process based on gross value …

JEL : C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction ModelsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesCROISSANCE URBAINE[SHS.ECO]Humanities and Social Sciences/Economics and FinanceURBAN GROWTHJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesINTERNATIONAL FIRM NETWORKSJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivityJEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction ModelsSPILLOVERSSPATIAL ECONOMETRICSJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivityRESEAUX DES FIRMES MULTINATIONALESINSTITUTIONS[ SHS.ECO ] Humanities and Social Sciences/Economies and financesÉCONOMÉTRIE SPATIALEJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Productivity analysis of Latvian companies using ORBIS database

2021

International audience; This research study uses ORBIS microdata at the company level to analyse productivity of 167 thousand economically active Latvian companies over 2011-2018. The aim of the study is twofold-to find factors consistently associated with productivity at the company level; and to recommend possible criteria for companies to receive a state support (from the view of enhancing aggregate productivity in the long term). Our research results show that productivity of Latvian companies is positively related to their size, age, as well as location closer to Riga and other big cities. However, there is a substantial within-group variation in productivity between companies. Multiva…

JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Modelsproductivitycompany agemicro dataJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R3 - Real Estate Markets Spatial Production Analysis and Firm Location/R.R3.R32 - Other Spatial Production and Pricing Analysiscompany size[SHS.ECO]Humanities and Social Sciences/Economics and FinanceORBIScompany location:SOCIAL SCIENCES [Research Subject Categories]JEL: L - Industrial Organization/L.L6 - Industry Studies: Manufacturing/L.L6.L60 - General
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NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)

2009

In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables. In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We notably stress on three sides of neighborhood effects: social capital, social status and social externalities and consider the accessibility to the primary economic center as describing the urban spatial trend. Using spatial econometrics specifications of the hedonic equation, we estimate whether spatial effects impact the housing values. Our empirical case concerns the Metropolitan Area (MA) of Paris i…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingC520Modèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions[SHS.ECO]Humanities and Social Sciences/Economics and FinanceC120C520R140R210 [Hedonic modelhousing valueneighborhood effectsspatial econometricsModèle hédoniquevaleur immobilièreeffets de voisinageéconométrie spatiale JEL Classification]JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsR210JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternsspatial econometricsvaleur immobilièreeffets de voisinageneighborhood effectsHedonic model[ SHS.ECO ] Humanities and Social Sciences/Economies and financeshousing valueéconométrie spatiale JEL Classification : C120[SHS.ECO] Humanities and Social Sciences/Economics and FinanceR140
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The Vegf Pathway in Patients with Pancreatic Neuroendocrine Tumors: Efficacy of Everolimus by Baseline Marker Level, and Prognostic and Predictive Ef…

2012

ABSTRACT Background RADIANT-3 was a phase III study investigating the effect of the mammalian target of rapamycin inhibitor everolimus on progression-free survival (PFS) in patients with advanced pancreatic neuroendocrine tumors (pNET; Yao et al, NEJM, 2011). Everolimus significantly improved PFS compared with placebo (11 vs 4.6 months, P  Methods Baseline plasma levels of VEGF-A, PlGF, sVEGFR1, and sVEGFR2 were determined by ELISA using multiplexed MSD platform. The optimal cutoffs for these markers were explored using the “survival tree analysis” method. Interaction of treatment and baseline marker status ( Results PFS was significantly improved to a similar extent in patients receiving e…

Oncologymedicine.medical_specialtyEverolimusbusiness.industryHematologyPlasma levelsNeuroendocrine tumorsmedicine.diseasePlaceboOncologyMarker statusInternal medicinemedicineIn patientTreatment effectbusinessSurvival treemedicine.drugAnnals of Oncology
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Responding to the Spiritual Needs of Palliative Care Patients: A Randomized Controlled Trial to Test the Effectiveness of the Kibo Therapeutic Interv…

2020

Context The WHO recognizes the need to attend to patients' spiritual needs as being fundamental to comprehensive and high-quality end-of-life care. Spiritual needs must be attended since the resolution of biological and psychosocial issues is insufficient to reduce patients' suffering. Associations have been found between spiritual needs and other variables of importance for patients in palliative care. Despite the consensus that exists regarding the importance of assessing and attending to spiritual needs, professionals encounter many difficulties in attempting to do so. Objectives Our study aims to demonstrate the benefits that the KIBO therapeutic interview in palliative care patients ca…

Palliative caremedia_common.quotation_subjectlcsh:BF1-990Context (language use)050105 experimental psychologylaw.invention03 medical and health sciences0302 clinical medicineNursingRandomized controlled triallawIntervention (counseling)Health carePsychology0501 psychology and cognitive sciencesinterventionGeneral PsychologyOriginal Researchmedia_commonpalliative carebusiness.industryFamily caregivers05 social sciencesspiritualitylcsh:Psychologytreatment effectivenesspsychological resiliencePsychological resiliencebusinessPsychologyPsychosocial030217 neurology & neurosurgeryFrontiers in Psychology
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Partially time invariant panel data regression

2023

When dealing with panel data, considering the variation over time of the variable of interest allows to get rid of potential individual effects. Even though the outcome variable has a continuous distribution, its variation over time can be equal to zero with a strictly positive probability and thus its distribution is a mixture of a mass at zero and a continuous distribution. We introduce a parametric statistical model based on conditional mixtures, build estimators for the parameters related to the conditional probability of no variation and to the conditional expectation related to the continuous part of the distribution and derive their asymptotic consistency and normality under a specif…

Policy EvaluationZero InflationMixture of DistributionsPanel DataBootstrapHeterogeneous Treatment Effects[STAT] Statistics [stat]
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Response und Remission in der Psychotherapieforschung

2010

Treatment effects of psychotherapy are usually studied using analysis of mean differences, tests of significance and effect size measures. These strategies, however, do not answer the question of how large the proportion of patients is who responded to treatment or who even reached remission. This article compares 2 competing methods of response and remission analysis: The Reliable Change Index (RCI) according to Jacobson et al. and the method of percent symptom reduction (PSR). We applied both methods using a sample of 338 patients with DSM-IV major depressive disorder. A pre-post treatment effect of Cohen's d=1,16 (intention-to-treat) resulted for the Beck Depression Inventory (BDI), corr…

Psychiatry and Mental healthClinical PsychologyPsychotherapistTreatment outcomeBeck Depression InventorymedicineMajor depressive disorderTreatment effectSymptom reductionmedicine.diseasePsychologyApplied PsychologyDepression (differential diagnoses)PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie
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Effect of treatment on sex offenders' recidivism: a meta-analysis

2017

Este meta-análisis tiene por objetivo medir el efecto del trata- miento en delincuentes sexuales. Tras una revisión sistemática de la litera- tura reciente, fueron seleccionados diecisiete estudios, contando con una muestra total de 6,681 delincuentes sexuales. Las tasas de reincidencia se- xual (13.12% vs. 17.94%), violenta –incluyendo la sexual– (25.5% vs. 29.1%) y general –cualquier tipo de reincidencia– (46.53% vs. 52.41%) de los delincuentes tratados fueron inferiores a las de los grupos control. Se evidenció la eficacia del tratamiento en la reducción de las tasas de reinci- dencia sexual (OR = .69; p< .05) y general (OR = .66; p < .05) de los sujetos tratados, pero no en las tasas de…

Recidivism05 social sciencesMeta-analysis.159.9Developmental psychologyBF1-990Sex offendersTreatmentMeta-analysisRecidivismMeta-analysis050501 criminologyPsychologyTreatment effectPsychologyMethodological qualityGeneral Psychology0505 lawClinical psychologyAnales de Psicología
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Interindividual Differences in Treatment Effects based on Structural Equation Models with Latent Variables: An EffectLiteR Tutorial

2019

The investigation of interindividual differences in the effects of a treatment is challenging, because many constructs-of-interest in psychological research such as depression or anxiety are latent variables and modeling heterogeneity in treatment effects requires interactions and potentially nonlinear relationships. In this paper, we present a tutorial of the EffectLiteR approach (Mayer, Dietzfelbinger, Rosseel, &amp;amp; Steyer, 2016) that allows for estimating individual treatment effects based on latent variable models. We describe step by step how to apply the approach using the EffectLiteR software package with data from the multicenter randomized controlled trial of the Social Phobia…

Sociology and Political ScienceGeneral Decision Sciencesinteractionbepress|Social and Behavioral Sciences|Psychology|Quantitative PsychologyLatent variableCausal effects01 natural sciencesstructural equation modelingStructural equation modeling010104 statistics & probability0504 sociologymedicine0101 mathematicsindividual treatment effectslatent variablesmoderationPsychological research05 social sciencesCausal effect050401 social sciences methodsModerationPsyArXiv|Social and Behavioral SciencesModeling and Simulationbepress|Social and Behavioral SciencesAnxietyPsyArXiv|Social and Behavioral Sciences|Quantitative Methodsmedicine.symptomPsychologyGeneral Economics Econometrics and FinanceClinical psychology
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Marginal hazard ratio estimates in joint frailty models for heart failure trials

2019

Abstract This work is motivated by clinical trials in chronic heart failure disease, where treatment has effects both on morbidity (assessed as recurrent non‐fatal hospitalisations) and on mortality (assessed as cardiovascular death, CV death). Recently, a joint frailty proportional hazards model has been proposed for these kind of efficacy outcomes to account for a potential association between the risk rates for hospital admissions and CV death. However, more often clinical trial results are presented by treatment effect estimates that have been derived from marginal proportional hazards models, that is, a Cox model for mortality and an Andersen–Gill model for recurrent hospitalisations. …

Statistics and ProbabilityBiometryleast false parameterDiseasejoint frailty modelRisk AssessmentStudy durationCardiovascular deathunexplained heterogeneitymedicineHumansTreatment effectComplex Regression ModelsProportional Hazards ModelsHeart FailureClinical Trials as TopicProportional hazards modelbusiness.industryheart failure trialsHazard ratioGeneral Medicinemedicine.diseaseClinical trialrecurrent eventsHeart failureAsymptomatic DiseasesStatistics Probability and UncertaintybusinessDemographyResearch PaperBiometrical Journal. Biometrische Zeitschrift
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