Results 61 to 70 of about 43,843 (275)

A Bayesian geoadditive relative survival analysis of registry data on breast cancer mortality [PDF]

open access: yes, 2006
In this paper we develop a so called relative survival analysis, that is used to model the excess risk of a certain subpopulation relative to the natural mortality risk, i.e. the base risk that is present in the whole population.
Held, Leonhard, Hennerfeind, Andrea
core   +1 more source

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug

open access: yesArthritis Care &Research, EarlyView.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie   +3 more
wiley   +1 more source

COMPARISON OF QGIS INTERPOLATION MODULES CAPABILITIES FOR MARINE CLIMATE RESEARCH ON DUTY WITH AN ARRAY OF LOW-SECURITY DATA

open access: yesInterCarto. InterGIS, 2016
In the article the urgency of modern methods’ active use in oceanographic data spatial analysis from the perspective of geo-information and geostatistical approaches is approved.
A. M. Novikova   +2 more
doaj   +1 more source

Nanoindentation Criteria for Combinatorial Thin Film Libraries

open access: yesAdvanced Engineering Materials, EarlyView.
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley   +1 more source

P-splines with an $\ell_{1}$ penalty for repeated measures

open access: yesElectronic Journal of Statistics, 2018
P-splines are penalized B-splines, in which finite order differences in coefficients are typically penalized with an $\ell_2$ norm. P-splines can be used for semiparametric regression and can include random effects to account for within-subject variability.
Segal, Brian D.   +3 more
openaire   +4 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Lithium Intercalation in the Anisotropic Van Der Waals Semiconductor CrSBr

open access: yesAdvanced Functional Materials, EarlyView.
We report the lithium intercalation in the layered van der Waals crystal CrSBr, revealing strongly anisotropic ion‐migration dynamics. Optical and electrical characterization of exfoliated CrSBr shows lithium diffusion coefficients that differ by more than an order of magnitude along a‐ and b‐directions, consistent with molecular dynamics simulations ...
Kseniia Mosina   +13 more
wiley   +1 more source

Structured count data regression [PDF]

open access: yes, 2003
Overdispersion in count data regression is often caused by neglection or inappropriate modelling of individual heterogeneity, temporal or spatial correlation, and nonlinear covariate effects.
Fahrmeir, Ludwig, Osuna, L.
core   +2 more sources

P-spline smoothing for spatial data collected worldwide [PDF]

open access: yesSpatial Statistics, 2018
Spatial data collected worldwide at a huge number of locations are frequently used in environmental and climate studies. Spatial modelling for this type of data presents both methodological and computational challenges. In this work we illustrate a computationally efficient non parametric framework to model and estimate the spatial field while ...
Greco F, Ventrucci M, Castelli E
openaire   +5 more sources

Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration

open access: yesAdvanced Functional Materials, EarlyView.
Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley   +1 more source

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