Results 51 to 60 of about 1,714,069 (326)

A flexible approach for variable selection in large-scale healthcare database studies with missing covariate and outcome data

BMC Medical Research Methodology, 2022
Background Prior work has shown that combining bootstrap imputation with tree-based machine learning variable selection methods can provide good performances achievable on fully observed data when covariate and outcome data are missing at random (MAR ...
Jung-Yi Joyce Lin, Liangyuan Hu, Chuyue Huang, Ji Jiayi, Steven Lawrence, Usha Govindarajulu   +5 more
doaj   +1 more source

Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements [PDF]

, 2012
Copyright @ 2012 ElsevierIn this paper, the extended Kalman filtering problem is investigated for a class of nonlinear systems with multiple missing measurements over a finite horizon.
Basin, Basin, Bishop, Calafiore, Chen, Cheng, Horn, Hounkpevi, Hounkpevi, Huijun Gao, James, Jun Hu, Kallapur, Kluge, Lampros K. Stergioulas, Li, Li, Mao, NaNacara, Pathirana, Reif, Sahebsara, Shi, Sun, Theodor, Wang, Wang, Wei, Wu, Xie, Xie, Xiong, Xiong, Xiong, Yaz, Yaz, Yaz, Yue, Zidong Wang   +38 more
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Variational Inference for Stochastic Block Models from Sampled Data

, 2019
This paper deals with non-observed dyads during the sampling of a network and consecutive issues in the inference of the Stochastic Block Model (SBM).
Barbillon, Pierre, Chiquet, Julien, Tabouy, Timothée   +2 more
core   +3 more sources

Bearing-only acoustic tracking of moving speakers for robot audition [PDF]

, 2015
This paper focuses on speaker tracking in robot audition for human-robot interaction. Using only acoustic signals, speaker tracking in enclosed spaces is subject to missing detections and spurious clutter measurements due to speech inactivity ...
Evers, C, Moore, AH, Naylor, PA, Rafaely, B, Sheaffer, J   +4 more
core   +2 more sources

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

The Efficiency of Missing at Random Planned Missing Designs

Mathematics
Planned Missing Designs (PMDs) allow for different sets or patterns of variables to be collected from sample units. While the typical motivation for PMDs is to manage respondent burden, they can also reduce data collection costs and provide flexibility ...
David G. Steel, James Chipperfield
doaj   +1 more source

Regularized Mislevy-Wu Model for Handling Nonignorable Missing Item Responses

Information, 2023
Missing item responses are frequently found in educational large-scale assessment studies. In this article, the Mislevy-Wu item response model is applied for handling nonignorable missing item responses.
Alexander Robitzsch
doaj   +1 more source

Inference for partial correlation when data are missing not at random

, 2017
We introduce uncertainty regions to perform inference on partial correlations when data are missing not at random. These uncertainty regions are shown to have a desired asymptotic coverage.
de Luna, Xavier, Gorbach, Tetiana
core   +1 more source

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source