Results 161 to 170 of about 1,083,294 (265)

Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data. [PDF]

J Am Stat Assoc, 2021
Quick C, Dey R, Lin X.
europepmc   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

Rethinking drug safety signal detection and causality assessment in the age of AI: the risks of incomplete data and biased insights. [PDF]

Front Drug Saf Regul
Chhikara P, Hammad TA.
europepmc   +1 more source

Incidence and survival of uveal melanoma in Northern Ireland: how incomplete data can skew results in rare cancers. [PDF]

Eye (Lond), 2023
Quhill H, Jefferis JM, Rennie IG, Salvi SM, Gavin A, Fitzpatrick D, Savage G, Curragh D, Rundle P.   +8 more
europepmc   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

INTEGRATING INCOMPLETE DATA FOR MEDIATION ANALYSIS. [PDF]

Stat Sin
Derkach A, Sampson JN, Pfeiffer RM.
europepmc   +1 more source

A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. [PDF]

Neuroimage, 2022
Ferreira FS, Mihalik A, Adams RA, Ashburner J, Mourao-Miranda J.   +4 more
europepmc   +1 more source

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang, Shaoxin Tao, Qiujia Wang, Xiaoyu Xu, Hui Yao, Zheng Liu, Dawei Li, Zhandong Qiu, Jinming Han, Jiangwei Xia, Qi Wang, Jun Sun, Kai Shao, Jiao Li, Shishuang Ruan, Yi Zhong, Jun Guo, Shougang Guo, Yue Huang, Guoliang Chai, Tao Jin, Hongyu Zhou, Junwei Hao, Yinan Zhao   +23 more
wiley   +1 more source

Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster-Level Interaction Effects and Small Sample Sizes. [PDF]

Stat Med
Shin D, Shin Y, Hagiwara N.
europepmc   +1 more source

Estimating Probabilities of Passing for Examinees With Incomplete Data in Mastery Tests. [PDF]

Educ Psychol Meas, 2022
Sinharay S.
europepmc   +1 more source