Results 41 to 50 of about 4,202,897 (320)
Automatic Classification of Variable Stars in Catalogs with missing data
, 2013 We present an automatic classification method for astronomical catalogs with missing data. We use Bayesian networks, a probabilistic graphical model, that allows us to perform inference to pre- dict missing values given observed data and dependency ...
Pichara, Karim, Protopapas, Pavlos
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Bone Marrow Failure as an Underrecognized Feature of KAT6A Syndrome
Pediatric Blood &Cancer, EarlyView.ABSTRACT KAT6A syndrome (Arboleda–Tham syndrome) is a rare disorder caused by heterozygous pathogenic variants in KAT6A, a histone acetyltransferase essential for chromatin remodeling and hematopoietic stem cell function. While neurodevelopmental features are well established, hematologic manifestations are underrecognized.
Ye Jee Shim +8 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
Handling missing data in research
Perspectives in Clinical ResearchMissing data are an inevitable part of research and lead to a decrease in the size of the analyzable population, and biased and imprecise estimates. In this article, we discuss the types of missing data, methods to handle missing data and suggest ways in
Priya Ranganathan, Sally Hunsberger
doaj +1 more source
The Evolution of the Labour Share in Poland: New Evidence from Firm-Level Data
Gospodarka Narodowa. The Polish Journal of Economics, 2023 We evaluate the usefulness of non-representative registry data such as Orbis in drawing inferences about economic phenomena in Poland. While firm-level studies of economic phenomena are of key policy relevance, census data and representative samples are ...
Sebastian Zalas, Hubert Drążkowski
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Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
Exploring a Diagnostic Test for Missingness at Random
MathematicsMissing data remain a challenge for researchers and decision-makers due to their impact on analytical accuracy and uncertainty estimation. Many studies on missing data are based on randomness, but randomness itself is problematic. This makes it difficult
Dominick Sutton, Anahid Basiri, Ziqi Li
doaj +1 more source
Calibrated imputation of numerical data under linear edit restrictions [PDF]
, 2008 A common problem faced by statistical offices is that data may be missing from collected data sets. The typical way to overcome this problem is to impute the missing data.
De Waal, Ton +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Infants with cancer are rare and face unique challenges. Our study aims to describe the incidence of infantile cancers in Canada and to compare treatment‐related mortality (TRM) and their outcomes with those of older children. Methods We conducted a retrospective cohort study using the Cancer in Young People in Canada database ...
Samuel Sassine +22 more
wiley +1 more source