A5026172719- Mental Health Research Topics
- Technology Adoption and User Behaviour
- Advanced Statistical Modeling Techniques
- Advanced Causal Inference Techniques
- Pancreatic and Hepatic Oncology Research
- Pancreatitis Pathology and Treatment
- Statistical Methods and Inference
- Neuroblastoma Research and Treatments
- Pulmonary Hypertension Research and Treatments
- Renal and Vascular Pathologies
- Advanced Clustering Algorithms Research
- Adrenal and Paraganglionic Tumors
- Congenital Heart Disease Studies
- Statistical Methods and Bayesian Inference
- Coronary Artery Anomalies
- Intraperitoneal and Appendiceal Malignancies
- Impact of AI and Big Data on Business and Society
Tilburg University
2023-2024
Brigham and Women's Hospital
2018
Klinikum Links der Weser
2012
University Medical Center Hamburg-Eppendorf
2005
Universität Hamburg
2005
Exploring multigroup data for similarities and differences in the measurement model is a substantial part of research conducted behavioral social sciences. Examples include studying invariance psychological scales over age or ethnic groups comparing symptom correlations between different disorders. Multigroup exploratory factor analysis often method choice. However, currently available methods are restrictive their use. First, these cannot handle complex with small sample sizes relative to...
The next-generation approach to research in the behavioral sciences is based on intensive collections of data and complex models characterized by many parameters for a limited sample size. This brings about new challenges traditional latent variable methods as existing are found fail or provide unstable solutions when number variables large compared To tackle this issue, we propose two-stage regularized exploratory structural equation modeling. In first stage, introduce novel (exploratory)...
Psychological studies often suffer from low statistical power due to small sample sizes. In this preregistered study, we updated the study by Marszalek et al. (2011) examine whether sizes in psychology have increased over time. We collected data 3176 across six journals three years. Results show a significant increase time (b=44.83, t(6.25)=4.48, p=.004, 95%CI[25.23,64.43]), with median being 40 1995, 56.5 2006, and 122.5 2019. This growth appears be response credibility crisis. While open...
Existing latent variable methods are found to fail or provide unstable solutions when the number of variables is large compared sample size. To tackle this issue, we propose a two-stage regularized least-squares approach for exploratory structural equation modeling. In first stage, introduce novel factor analysis technique that not only estimates measurement model but also scores; indeterminacy addressed by imposing simple structure through regularizing techniques. The scores can then be...
Bias-adjusted three-step latent class (LC) analysis is a popular technique for estimating the relationship between LC membership and distal outcomes. Since it impossible to randomize membership, causal inference techniques are needed estimate effects leveraging observational data. This paper proposes two novel strategies that make use of propensity scores effect on outcome variable. Both modify bias-adjusted approach by using in last step control confounding. The first strategy utilizes...
The next-generation approach to research in the behavioral sciences is based on intensive collections of data and complex models characterized by many parameters for a limited sample size. This brings about new challenges traditional latent variable methods as existing are found fail or provide unstable solutions when number variables large compared To tackle this issue, we propose two-stage regularized exploratory structural equation modeling. In first stage, introduce novel (exploratory)...
Bias-adjusted three-step latent class (LC) analysis is a popular technique for estimating the relationship between LC membership and distal outcomes. Since it impossible to randomize membership, causal inference techniques are needed estimate effects leveraging observational data. This paper proposes two novel strategies that make use of propensity scores effect on outcome variable. Both modify bias-adjusted approach by using in last step control confounding. The first strategy utilizes...
<h3>Introduction</h3> Neurofibramatosis (NF) is occasionally complicated by systemic vasculopathy such as myocardial infarction, renovascular hypertension etc. The appearance of pulmonary embolism (PE) not desribed until yet. <h3>Case Report</h3> 15-year-old female patient with neurofibromatosis type I. Progressive dyspnoe, general fatigue and chest pain biginning 6 days before hospital admission. Anamnestic no clinical sign for deep vein thrombosis. No oral contraceptive, non smoker....
Objectives: The arterial switch operation (ASO) is the method of choice for Taussig-Bing anomaly (TBA). Aim study was to analyze mid-term outcome primary correction TBA, and make a comparison with results achieved ASO D-TGA.