Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage
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
Supplementary Table 1. Missing data and imputation statistics
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
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
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
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
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
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
Tree-based learning methods, such as Random Forest and XGBoost, remain the gold standard for prediction in tabular data. Feature importance measures are frequently employed in feature selection and to evaluate the influence of features on the outcome ...
Andrés Romero +3 more
doaj +1 more source
Evaluation of regression methods when immunological measurements are constrained by detection limits
Background The statistical analysis of immunological data may be complicated because precise quantitative levels cannot always be determined. Values below a given detection limit may not be observed (nondetects), and data with nondetects are called left ...
Yazdanbakhsh Maria +3 more
doaj +1 more source
Statistical disaggregation—A Monte Carlo approach for imputation under constraints
AbstractEquality‐constrained models naturally arise in problems in which the measurements are taken at different levels of resolution. The challenge in this setting is that the models usually induce a joint distribution which is intractable. Resorting to instead sampling from the joint distribution by means of a Monte Carlo approach is also challenging.
Shenggang Hu +5 more
openaire +3 more sources
Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults
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
Chinchin Wang,1,2 Tyrel Stokes,3 Russell J Steele,3 Niels Wedderkopp,4 Ian Shrier1 1Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, H3T 1E2, Canada; 2Department of Epidemiology ...
Wang C +4 more
doaj
Income Imputation and the Analysis of Expenditure Data in the Consumer Expenditure Survey [PDF]
The Consumer Expenditure (CE) Survey began imputing income in its 2004 data. Imputation predicts income for households that reported receiving income but failed to report a specific value.
Jonathan Fisher
core

