Results 61 to 70 of about 298,952 (329)

Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that allows increased total dose delivery aiming for improved treatment response without an increase in toxicities, commonly utilized for palliation of bulky tumors.
Libing Zhu, Nathan Y. Yu, Safia K. Ahmed, Jonathan B. Ashman, Diego Santos Toesca, Michael P. Grams, Christopher L. Deufel, Jingwei Duan, Quan Chen, Yi Rong   +9 more
wiley   +1 more source

The trend of direct medical costs and associated factors in patients with chronic hepatitis B in Guangzhou, China: an eight-year retrospective cohort study

BMC Medical Informatics and Decision Making, 2021
Background Although the expenses of liver cirrhosis are covered by a critical illness fund under the current health insurance program in China, the medical costs associated with hepatitis B virus (HBV) related diseases is not well addressed.
Shuo Yang, Ge Chen, Yueping Li, Guanhai Li, Yingfang Liang, Feng Zhou, Shudong Zhou, Yi Yang, Weidong Jia, Yanhui Gao, Yue Chen   +10 more
doaj   +1 more source

Analysis of binary spatial data by quasi-likelihood estimating equations

, 2005
The goal of this paper is to describe the application of quasi-likelihood estimating equations for spatially correlated binary data. In this paper, a logistic function is used to model the marginal probability of binary responses in terms of parameters ...
Clayton, Murray K., Lin, Pei-Sheng
core   +1 more source

Using generalized estimating equations to estimate nonlinear models with spatial data [PDF]

SSRN Electronic Journal, 2018
In this paper, we study estimation of nonlinear models with cross sectional data using two-step generalized estimating equations (GEE) in the quasi-maximum likelihood estimation (QMLE) framework. In the interest of improving efficiency, we propose a grouping estimator to account for the potential spatial correlation in the underlying innovations.
Cuicui Lu, Ning Wang, Jeffrey M. Wooldridge   +2 more
openalex   +5 more sources

A second order estimate for general complex Hessian equations [PDF]

Analysis & PDE, 2016
We derive a priori $C^2$ estimates for the $ $-plurisubharmonic solutions of general complex Hessian equations with right-hand side depending on gradients.
Phong, Duong, Picard, Sebastien, Zhang, Xiangwen   +2 more
openaire   +4 more sources

Serotonergic and Dopaminergic Function in Neuropsychiatrically Asymptomatic People With HIV on Antiretroviral Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau, Anna Lyndaker, Swati Shah, Paul Wakim, Amelia Mitchell, Cynthia Monroe, Alan Kim, Tracy L. Cropper, Govind Nair, Joseph Snow, Bryan R. Smith, Avindra Nath, Dima A. Hammoud   +12 more
wiley   +1 more source

Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller, Ebenezer Chinedu‐Eneh, Jaeleene Wijangco, Kyra Henderson, Nikki Sisodia, Narender Sara, Jennifer Reihm, Shane Poole, Jim Rowson, Chu‐Yueh Guo, Jeffrey M. Gelfand, Valerie J. Block, Riley Bove   +12 more
wiley   +1 more source

Longitudinal data methods for evaluating genome-by-epigenome interactions in families

BMC Genetics, 2018
Background Longitudinal measurement is commonly employed in health research and provides numerous benefits for understanding disease and trait progression over time. More broadly, it allows for proper treatment of correlated responses within clusters. We
Justin C. Strickland, I-Chen Chen, Chanung Wang, David W. Fardo   +3 more
doaj   +1 more source

Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett, Karl Everett, Colleen J. Maxwell, Feng Zhu, Ayesha Asaf, Ping Li, Kyla A. McKay, Yinshan Zhao, Ruth Ann Marrie   +8 more
wiley   +1 more source

The analysis of correlated non-Gaussian outcomes from clusters of size two: non-multilevel-based alternatives? [PDF]

, 2012
In this presentation we discuss the analysis of clustered binary or count data, when the cluster size is two. For Gaussian outcomes, linear mixed models taking into account the correlation within clusters, are frequently used and well understood. Here we
Loeys, Tom, Molenberghs, Geert
core   +1 more source