Zobrazeno 1 - 10
of 861
pro vyhledávání: '"GILBERT, P. B."'
Confounding and exposure measurement error can introduce bias when drawing inference about the marginal effect of an exposure on an outcome of interest. While there are broad methodologies for addressing each source of bias individually, confounding
Externí odkaz:
http://arxiv.org/abs/2407.09443
Autor:
Gilbert, Peter B., Peng, James, Han, Larry, Lange, Theis, Lu, Yun, Nie, Lei, Shih, Mei-Chiung, Waddy, Salina P., Wiley, Ken, Yann, Margot, Zafari, Zafar, Ghosh, Debashis, Follmann, Dean, Juraska, Michal, Díaz, Iván
For many rare diseases with no approved preventive interventions, promising interventions exist, yet it has been difficult to conduct a pivotal phase 3 trial that could provide direct evidence demonstrating a beneficial effect on the target disease o
Externí odkaz:
http://arxiv.org/abs/2407.06350
Modeling item parameters as a function of item characteristics has a long history but has generally focused on models for item location. Explanatory item response models for item discrimination are available but rarely used. In this study, we extend
Externí odkaz:
http://arxiv.org/abs/2406.05304
Autor:
Gilbert, Joshua B., Himmelsbach, Zachary, Soland, James, Joshi, Mridul, Domingue, Benjamin W.
Analyses of heterogeneous treatment effects (HTE) are common in applied causal inference research. However, when outcomes are latent variables assessed via psychometric instruments such as educational tests, standard methods ignore the potential HTE
Externí odkaz:
http://arxiv.org/abs/2405.00161
Autor:
Sanaei, Mohammadamin, Gilbert, Stephen B., Javadpour, Nikoo, Sabouni, Hila, Dorneich, Michael C., Kelly, Jonathan W.
This investigation examined the relationships among scene complexity, workload, presence, and cybersickness in virtual reality (VR) environments. Numerous factors can influence the overall VR experience, and existing research on this matter is not ye
Externí odkaz:
http://arxiv.org/abs/2403.19019
Publikováno v:
Epidemiol. Methods 2024; 13(1): 20240006
In analysis of randomized controlled trials (RCTs) with patient-reported outcome measures (PROMs), Item Response Theory (IRT) models that allow for heterogeneity in the treatment effect at the item level merit consideration. These models for ``item-l
Externí odkaz:
http://arxiv.org/abs/2402.04487
Autor:
Salehi, Masoud, Javadpour, Nikoo, Beisner, Brietta, Sanaei, Mohammadamin, Gilbert, Stephen B.
Despite the widespread adoption of Virtual Reality (VR) technology, cybersickness remains a barrier for some users. This research investigates head movement patterns as a novel physiological marker for cybersickness detection. Unlike traditional mark
Externí odkaz:
http://arxiv.org/abs/2402.02725
Given a collection of features available for inclusion in a predictive model, it may be of interest to quantify the relative importance of a subset of features for the prediction task at hand. For example, in HIV vaccine trials, participant baseline
Externí odkaz:
http://arxiv.org/abs/2311.12726
We introduce a new data fusion method that utilizes multiple data sources to estimate a smooth, finite-dimensional parameter. Most existing methods only make use of fully aligned data sources that share common conditional distributions of one or more
Externí odkaz:
http://arxiv.org/abs/2308.14836
Autor:
Arachchige, Dimuthu D. K., Varshney, Tanmay, Huzaifa, Umer, Kanj, Iyad, Nanayakkara, Thrishantha, Chen, Yue, Gilbert, Hunter B., Godage, Isuru S.
Legged locomotion is a highly promising but under-researched subfield within the field of soft robotics. The compliant limbs of soft-limbed robots offer numerous benefits, including the ability to regulate impacts, tolerate falls, and navigate throug
Externí odkaz:
http://arxiv.org/abs/2304.06945