Results 41 to 50 of about 16,222,653 (310)

A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout

open access: yesBMC Medical Research Methodology, 2020
Background Dropout is a common problem in longitudinal clinical trials and cohort studies, and is of particular concern when dropout occurs for reasons that may be related to the outcome of interest. This paper reviews common parametric models to account
Camille M. Moore   +3 more
doaj   +1 more source

On the pitfalls of Gaussian likelihood scoring for causal discovery

open access: yesJournal of Causal Inference, 2023
We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surprising
Schultheiss Christoph, Bühlmann Peter
doaj   +1 more source

Non-parametric models in the monitoring of engine performance and condition: Part 1: modelling of non-linear engine processes [PDF]

open access: yes, 1999
This paper proposes the use of radial basis function (RBF) networks in the modelling of non-linear engine processes. A pertinent application of such a model is the reconstruction of cylinder pressure based upon the instantaneous angular velocity of the ...
Jacob, P J, Gu, Fengshou, Ball, Andrew
core   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

Bayesian non-parametrics and the probabilistic approach to modelling [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013
Modelling is fundamental to many fields of science and engineering. A model can be thought of as a representation of possible data one could predict from a system. The probabilistic approach to modelling uses probability theory to express all aspects of uncertainty in the model.
openaire   +3 more sources

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin   +17 more
wiley   +1 more source

Techniques and Developments in Stochastic Streamflow Synthesis—A Comprehensive Review

open access: yesEncyclopedia
Stochastic streamflow synthesis has long been the cornerstone of water resource planning, enabling the generation of extended hydrological sequences that reflect natural variability beyond the limitations of observed records.
Shirin Studnicka, Umed S. Panu
doaj   +1 more source

Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processes

open access: yesMetals, 2020
This work aims to compare the performance of various parametric and non-parametric metamodeling techniques when applied to sheet metal forming processes. For this, the U-Channel and the Square Cup forming processes were studied.
Armando E. Marques   +5 more
doaj   +1 more source

Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

open access: yesMathematics, 2021
The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis.
Jaime Pinilla, Miguel Negrín
doaj   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

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