Results 31 to 40 of about 2,491,525 (260)
Averaging correlated data [PDF]
Physica Scripta, 1995 The problem of averaging strongly correlated data is addressed for the case that the exact correlation pattern is unknown. A procedure is proposed to estimate the effective size of the correlations from the data themselves and to take them properly into account when forming the average.
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Remote Sensing, 2016 It has been common practice in data assimilation to treat observation errors as uncorrelated; however, meteorological centres are beginning to use correlated inter-channel observation errors in their operational assimilation systems. In this work, we are
Joanne A. Waller +5 more
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MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments
BMC Bioinformatics, 2020 Background As the barriers to incorporating RNA sequencing (RNA-Seq) into biomedical studies continue to decrease, the complexity and size of RNA-Seq experiments are rapidly growing.
Brian E. Vestal +5 more
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Correlated Data Inference [PDF]
, 2004 In this paper we examine undesired inferences in distributed XML documents. An undesired inference is a chain of reasoning that leads to protected data of an organization or an individual, using only intentionally disclosed information. We propose a framework, called Ontology guided XML Security Engine (Oxsegin), to detect and prevent undesired ...
Csilla Farkas, Andrei G. Stoica
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Correlated lip motion and voice audio data
Data in Brief, 2018 This data set is comprised of correlated audio and lip movement data in multiple videos of multiple subjects reading the same text. It was collected to facilitate the development and validation of algorithms used to train and test a compound biometric ...
Marco Colasito +2 more
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Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
Testing Informativeness of Covariate-Induced Group Sizes in Clustered Data
MathematicsClustered data are a special type of correlated data where units within a cluster are correlated while units between different clusters are independent. The number of units in a cluster can be associated with that cluster’s outcome.
Hasika K. Wickrama Senevirathne +1 more
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Regression Analysis for Correlated Data [PDF]
Annual Review of Public Health, 1993 Regression analysis is among the most commonly used methods of statistical analysis in public health research. Its objective is to describe the relationship of a response with explanatory variables. One example of a regression problem is to identify factors associated with the racial difference in the risk of low birthweight (29).
K Y, Liang, S L, Zeger
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source