Results 51 to 60 of about 16,220,352 (310)

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

BMC 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, Samantha MaWhinney, Nichole E. Carlson, Sarah Kreidler   +3 more
doaj   +1 more source

On the pitfalls of Gaussian likelihood scoring for causal discovery

Journal 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

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

Pediatric 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, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

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

, 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

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

Techniques and Developments in Stochastic Streamflow Synthesis—A Comprehensive Review

Encyclopedia
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

Metals, 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, Pedro A. Prates, André F. G. Pereira, Marta C. Oliveira, José V. Fernandes, Bernardete M. Ribeiro   +5 more
doaj   +1 more source

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

Philosophical 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

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak, Oded Gilad, Yael Feinstein, Sigal Nakav, Ofer Schiller, Joanne Yacobovich   +5 more
wiley   +1 more source

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

Mathematics, 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