Results 81 to 90 of about 1,318,109 (301)
StatsImputing missing values in high-dimensional time-series data remains a significant challenge in statistics and machine learning. Although various methods have been proposed in recent years, many struggle with limitations and reduced accuracy ...
Wen-Shan Liu +4 more
doaj +1 more source
Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
Scientific Reports, 2018 Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various methods have been applied for handling missing values, but the selection can significantly affect following data analyses.
Runmin Wei +6 more
semanticscholar +1 more source
Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz +25 more
wiley +1 more source
Austrian Journal of Statistics, 2014 For the Austrian register-based census we developed techniques to generate family statistics from administrative data sources. The approach is based on data of relationships and how to handle them -- in general, in a fixed household and in an imputation ...
Henrik Rechta +2 more
doaj +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Supplementary Table 1. Missing data and imputation statistics
, 2021 VL: vastus lateralis, TMD: total mood disturbance, FDI: first dorsal interosseus, MVC: maximum voluntary contraction, D1: day 1, TMT: tactical mobility test, IGF1: insulin-like-growth factor 1, GH: growth hormone, BDNF: brain-derived neurotrophic factor.
openaire +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
imputeTS: Time Series Missing Value Imputation in R
The R Journal, 2017 The imputeTS package specializes on univariate time series imputation. It offers multiple state-of-the-art imputation algorithm implementations along with plotting functions for time series missing data statistics.
Steffen Moritz, T. Bartz-Beielstein
semanticscholar +1 more source
Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle +11 more
wiley +1 more source