Results 81 to 90 of about 202,193 (268)

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, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 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

Advanced Statistics: Missing Data in Clinical Research--Part 2: Multiple Imputation [PDF]

Academic Emergency Medicine, 2007
In part 1 of this series, the authors describe the importance of incomplete data in clinical research, and provide a conceptual framework for handling incomplete data by describing typical mechanisms and patterns of censoring, and detailing a variety of relatively simple methods and their limitations.
Craig D, Newgard, Jason S, Haukoos
openaire   +2 more sources

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach

Clinical Epidemiology, 2022
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, Stokes T, Steele RJ, Wedderkopp N, Shrier I   +4 more
doaj  

Predictive mean matching imputation in survey sampling [PDF]

, 2018
Predictive mean matching imputation is popular for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the predictive mean matching estimator of the population mean.
Kim, Jae Kwang, Kim, Jae Kwang, Yang, Shu   +2 more
core   +3 more sources

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study

Data Science in Science
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, Jakob Schwerter, Florian Dumpert, Markus Pauly   +3 more
doaj   +1 more source

Evaluation of regression methods when immunological measurements are constrained by detection limits

BMC Immunology, 2008
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, Hartgers Franca C, Uh Hae-Won, Houwing-Duistermaat Jeanine J   +3 more
doaj   +1 more source

Statistical disaggregation—A Monte Carlo approach for imputation under constraints

Scandinavian Journal of Statistics
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, Hongsheng Dai, Fanlin Meng, Louis Aslett, Murray Pollock, Gareth O. Roberts   +5 more
openaire   +3 more sources