Results 31 to 40 of about 4,225,561 (321)
Block-Conditional Missing at Random Models for Missing Data [PDF]
, 2010 Two major ideas in the analysis of missing data are (a) the EM algorithm [Dempster, Laird and Rubin, J. Roy. Statist. Soc. Ser. B 39 (1977) 1--38] for maximum likelihood (ML) estimation, and (b) the formulation of models for the joint distribution of the
John D. Kalbfleisch +3 more
core +1 more source
New or $\nu$ Missing Energy? Discriminating Dark Matter from Neutrino Interactions at the LHC [PDF]
, 2015 Missing energy signals such as monojets are a possible signature of Dark Matter (DM) at colliders. However, neutrino interactions beyond the Standard Model may also produce missing energy signals.
Frandsen, Mads T. +2 more
core +2 more sources
Recursive kernel density estimators under missing data
, 2016 In this paper we propose an automatic bandwidth selection of the recursive kernel density estimators with missing data in the context of global and local density estimation.
Slaoui, Yousri
core +3 more sources
Inference of the Kinetic Ising Model with Heterogeneous Missing Data [PDF]
, 2019 We consider the problem of inferring a causality structure from multiple binary time series by using the Kinetic Ising Model in datasets where a fraction of observations is missing.
Campajola, Carlo +2 more
core +3 more sources
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source
A Tensor-Based Method for Completion of Missing Electromyography Data
IEEE Access, 2019 This paper discusses the recovery of missing data in surface electromyography (sEMG) signals that arise during the acquisition process. Missing values in the EMG signals occur due to either the disconnection of electrodes, artifacts and muscle fatigue or
Muhammad Akmal +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
wiley +1 more source
Missing Categorical Data Imputation and Individual Observation Level Imputation
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2014 Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values often focuses on regression models.
Pavel Zimmermann +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
Cosmovisiones / CosmovisõesThis chapter details methods for handling missing data in health economic evaluations, focusing on cost-effectiveness analyses of randomised controlled trials. It explores different types of missingness (MCAR, MAR, MNAR), outlining the implications of each for analysis.
Gabrio, Andrea +3 more
+4 more sources