A5016586705- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Recreation, Leisure, Wilderness Management
- Cultural Industries and Urban Development
- Academic integrity and plagiarism
- Artificial Intelligence in Healthcare and Education
- Child and Adolescent Psychosocial and Emotional Development
- Bayesian Methods and Mixture Models
- Advanced Causal Inference Techniques
- Deception detection and forensic psychology
- Health Promotion and Cardiovascular Prevention
- Migration, Aging, and Tourism Studies
- Ethics in Clinical Research
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Corneal surgery and disorders
- Glaucoma and retinal disorders
- Advanced Statistical Methods and Models
- Bayesian Modeling and Causal Inference
- Soil Geostatistics and Mapping
- Outdoor and Experiential Education
- Reliability and Agreement in Measurement
- Ophthalmology and Visual Impairment Studies
- Corneal Surgery and Treatments
- Attachment and Relationship Dynamics
Utrecht University
2015-2025
Centraal Bureau voor de Statistiek
2013-2023
Netherlands Institute for Social Research
2021
Amsterdam University Medical Centers
2021
University of Chicago
2021
Vrije Universiteit Amsterdam
2021
Tilburg University
2021
Amsterdam University of Applied Sciences
2021
Lung Foundation Netherlands
2013
Prevalence of research misconduct, questionable practices (QRPs) and their associations with a range explanatory factors has not been studied sufficiently among academic researchers. The National Survey on Research Integrity targeted all disciplinary fields ranks in the Netherlands. It included questions about engagement fabrication, falsification 11 QRPs over previous three years, 12 factor scales. We ensured strict identity protection used randomized response method for misconduct. 6,813...
Multiple imputation methods properly account for the uncertainty of missing data. One those creating multiple imputations is predictive mean matching (PMM), a general purpose method. Little known about performance PMM in imputing non‐normal semicontinuous data (skewed with point mass at certain value and otherwise continuously distributed). We investigate as well dedicated by performing simulation studies under univariate multivariate missingness mechanisms. also on real‐life datasets....
Missing data form a ubiquitous problem in scientific research, especially since most statistical analyses require complete data. To evaluate the performance of methods dealing with missing data, researchers perform simulation studies. An important aspect these studies is generation values simulated, set: amputation procedure. We investigated methodological validity and nature both current practice newly developed implemented multivariate found that way may not be appropriate for intuitive...
Background The aetiology of keratoconus (KC) remains poorly understood. KC has typically been described as a non-inflammatory disorder the cornea. Nonetheless, there is increasing presumptive evidence for role immune system in pathogenesis KC. Aim To evaluate association between and immune-mediated diseases on population level. We hypothesise that rather than predominantly degenerative disease. Methods Data were obtained from largest health insurance provider Netherlands. Dutch residents are...
BackgroundPrevalence of research misconduct, questionable practices (QRPs) and their associations with a range explanatory factors has not been studied sufficiently among academic researchers.Methods The National Survey on Research Integrity was aimed at all disciplinary fields ranks in the Netherlands. survey enquired about engagement fabrication, falsification 11 QRPs over previous three years, 12 factor scales. We ensured strict identity protection used randomized response method for...
Many researchers face the problem of missing data in longitudinal research. Especially, high risk samples are characterized by which can complicate analyses and interpretation results. In current study, our aim was to find most optimal best method deal with a specific study many on outcome variable. Therefore, different techniques handle were evaluated, solution efficiently substantial amounts provided. A simulation conducted determine data. Results revealed that multiple imputation (MI)...
Abstract Refractive errors are the leading cause of preventable visual impairment, to which web-based remote refraction could contribute. We report real-world 2021–2022 data underlying algorithm and validated these conventional prescriptions among healthy individuals (high acuity satisfactied current refraction). Participants were 18–45 years with a spherical (S) error between −3.50 + 2.00S −2.00 Diopter Cylinder (DC), reported as Spherical Equivalent (SEQ) in mean differences 95% Limits...
Abstract Hawley's influential resource control theory (RCT) posits that both coercive and prosocial strategies may yield social dominance, as indexed by control. Based on differences in youths’ relative use of these strategies, RCT a priori defines five distinct subtypes. Several studies Hawley colleagues have revealed substantial between subtypes terms obtained various characteristics (e.g., agreeableness). The present longitudinal study (N = 394; M age 10.3; SD 0.5) expands previous work....
Abstract Machine learning can be used to explore the complex multifactorial patterns underlying postsurgical graft detachment after endothelial corneal transplantation surgery and evaluate marginal effect of various practice pattern modulations. We included all posterior lamellar keratoplasty procedures recorded in Dutch Cornea Transplant Registry from 2015 through 2018 collected center-specific using a questionnaire. All available data regarding donor, recipient, surgery, pattern, were...
Aim This randomized, controlled trial examined the medium-term effectiveness of online behavioral training in migraine self-management (oBT; N = 195) versus waitlist control (WLC; 173) on attack frequency, indicators (primary outcomes), headache top intensity, use rescue medications, quality life and disability (secondary outcomes). Methods An diary following ICHD-II questionnaires were completed at baseline (T0), post-training (T1) six months later (T2). Missing data (T1: 24%; T2: 37%)...
BackgroundWhile substantial attention has been paid to research misbehaviors, responsible practices (RRPs) and their potential explanatory factors have not studied extensively.Methods The National Survey on Research Integrity (NSRI) is an online survey targeting all disciplines academic ranks in Netherlands. Data was collected 11 RRPs 12 factor scales. Results were controlled for scales, rank, disciplinary field, gender, doing empirical if respondents belonged a NSRI supporting institution...
Traditionally, research integrity studies have focused on misbehaviors and their explanations. Over time, attention has shifted towards preventing questionable practices promoting responsible ones. However, data the prevalence of practices, especially open methods, codes underlying associative factors, remains scarce.
<ns3:p><ns3:bold>Background:</ns3:bold>Traditionally, research integrity studies have focused on misbehaviors and their explanations. Over time, attention has shifted towards preventing questionable practices promoting responsible ones. However, data the prevalence of practices, especially open methods, codes underlying associative factors, remains scarce.</ns3:p><ns3:p><ns3:bold>Methods:</ns3:bold>We conducted a web-based anonymized questionnaire, targeting all academic researchers working...
We propose a new multiple imputation technique for imputing squares. Current methods yield either unbiased regression estimates or preserve data relations. No method, however, seems to deliver both, which limits researchers in the implementation of analysis presence missing data. Besides, current only work under completely at random (MCAR) mechanism. Our method squares uses polynomial combination. The proposed yields both estimates, while preserving quadratic relations and MCAR mechanisms.
Missing data in scientific research go hand with assumptions about the nature of missingness. When dealing missing values, a set beliefs has to be formulated extent which observed may also hold for parts data. It is vital that validity these missingness verified, tested, and are adjusted when necessary. In this article, we demonstrate how structures could priori indicate whether it likely our can trusted. To end, simulate complete generate values according several types MCAR, MAR, MNAR...
We examined if manualized cognitive behavioral therapy (CBT) was more effective than Treatment As Usual (TAU) for clinically depressed adolescents within routine care. This multisite Randomized controlled trail included 88 (aged 12-21 years) randomly assigned to CBT or TAU. Multiple assessments (pre-, post treatment and six-month follow-up) were done using semi-structured interviews, questionnaires ratings multiple informants. The primary outcome depressive dysthymic disorder based on the...
Current pooling rules for multiply imputed data assume infinite populations. In some situations this assumption is not feasible as every unit in the population has been observed, potentially leading to over-covered estimates. We simplify existing where sampling variance of interest. compare these conventional and demonstrate their use a situation there no variance. Using standard should be considered, leads overestimation estimates interest, especially when amount missingness very large. As...
Abstract Fully conditional specification (FCS) is a convenient and flexible multiple imputation approach. It specifies sequence of simple regression models instead potential complex joint density for missing variables. However, FCS may not converge to stationary distribution. Many authors have studied the convergence properties when priors are non-informative. We extend case informative priors. This paper evaluates normal linear model with normal-inverse gamma The theoretical simulation...
Abstract Weighting methods are commonly used in situations of unit nonresponse with linked register data. However, several arguments terms valid inference and practical usability can be made against the use weighting these situations. Imputation such as sample mass imputation may suitable alternatives, they lead to item have some advantages. In a simulation study, were compared traditional when dealing Methods on their bias coverage different scenarios. Both, imputation, had better than all...