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The iterative bisection procedure: a useful tool for determining parameter values in data-generating processes in Monte Carlo simulations
BackgroundData-generating processes are key to the design of Monte Carlo simulations. It is important for investigators to be able to simulate data...
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Quantitative validation of Monte Carlo SPECT simulation: application to a Mediso AnyScan GATE simulation
BackgroundMonte Carlo (MC) simulations are used in nuclear medicine imaging as they provide unparalleled insight into processes that are not directly...
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Monte Carlo modelling of a compact CZT-based gamma camera with application to 177Lu imaging
BackgroundSemiconductor gamma-camera systems based on cadmium zinc telluride (CZT) detectors present new challenges due to an energy-response that...
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Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study
BackgroundAdvantages of meta-analysis depend on the assumptions underlying the statistical procedures used being met. One of the main assumptions...
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Inverse planning optimization with lead block effectively suppresses dose to the mandible in high-dose-rate brachytherapy for tongue cancer
PurposeIn this study, we developed in-house software to evaluate the effect of the lead block (LB)-inserted spacer on the mandibular dose in...
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Estimation of marginal structural models under irregular visits and unmeasured confounder: calibrated inverse probability weights
Clinical information collected in electronic health records (EHRs) is becoming an essential source to emulate randomized experiments. Since patients...
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Monte Carlo simulations of photodynamic therapy in human blood model
This study aims to simulate a therapeutic plan for a normal human blood model under various patho-physiological conditions, such as the development...
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Lead-free transparent shields for diagnostic X-rays: Monte Carlo simulation and measurements
In recent years, the preference for using lead-free radiation protection shields has increased because of concerns regarding lead poisoning and...
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DVH-based inverse planning for LDR pancreatic brachytherapy
PurposePancreatic cancer is one of the common types of malignant cancer. Low-dose-rate (LDR) brachytherapy has shown great efficacy in curing...
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Inverse probability weighting to handle attrition in cohort studies: some guidance and a call for caution
BackgroundAttrition in cohort studies challenges causal inference. Although inverse probability weighting (IPW) has been proposed to handle attrition...
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Non-linear probabilistic calibration of low-cost environmental air pollution sensor networks for neighborhood level spatiotemporal exposure assessment
BackgroundLow-cost sensor networks for monitoring air pollution are an effective tool for expanding spatial resolution beyond the capabilities of...
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Emulation of a target trial with sustained treatment strategies: an application to prostate cancer using both inverse probability weighting and the g-formula
As with many chronic illnesses, recurrent prostate cancer generally requires sustained treatment to prolong survival. However, initiating treatment...
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Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners
IntroductionTime-of-flight (TOF) positron emission tomography (PET) scanners can provide significant benefits by improving the noise properties of...
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Bayesian Mendelian randomization with an interval causal null hypothesis: ternary decision rules and loss function calibration
We enhance the Bayesian Mendelian Randomization (MR) framework of Berzuini et al. (Biostatistics 21(1):86–101, 2018) by allowing for interval null...
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Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data
Prostate cancer is the most common cancer after non-melanoma skin cancer and the second leading cause of cancer deaths in US men. Its incidence and...
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Possibilities of simulation of coronavirus SARS-CoV-2 by using light scattering approach
Issues related to human coronaviru s ( SARS CoV-2 ) are a burning topic of research in present times. Due to its easily contagious nature, real...
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A Prototype Software System for Intra-procedural Staff Dose Monitoring and Virtual Reality Training for Fluoroscopically Guided Interventional Procedures
Staff dose management in fluoroscopically guided interventional procedures is a continuing problem. The scattered radiation display system (SDS),...
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Assessment of the E-value in the presence of bias amplification: a simulation study
BackgroundThe E-value, a measure that has received recent attention in the comparative effectiveness literature, reports the minimum strength of...
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Bayesian mendelian randomization with study heterogeneity and data partitioning for large studies
BackgroundMendelian randomization (MR) is a useful approach to causal inference from observational studies when randomised controlled trials are not...
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Cost-effectiveness of miglustat versus symptomatic therapy of Niemann–Pick disease type C
BackgroundNiemann–Pick disease type C (NP-C) is a progressive neurodegenerative disorder with early infantile (< 2 years), late infantile...
