Results 51 to 60 of about 158,226 (307)

Statistical Inference for Correlated Data Based on Censored Observations [PDF]

, 2005
Many physical quantities measured over time and space are often observed with data irregularities, such as truncation (detection limit) or censoring. Practitioners often disregard censored data cases which may result in inefficient estimates.
Park, Jung Wook
core  

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source

Model Calibration With Censored Data

Technometrics, 2018
AbstractThe purpose of model calibration is to make the model predictions closer to reality. The classical Kennedy-O'Hagan approach is widely used for model calibration, which can account for the inadequacy of the computer model while simultaneously estimating the unknown calibration parameters.
Fang Cao, Shan Ba, William A. Brenneman, V. Roshan Joseph   +3 more
openaire   +2 more sources

Quantile Regression for Doubly Censored Data [PDF]

Biometrics, 2011
SummaryDouble censoring often occurs in registry studies when left censoring is present in addition to right censoring. In this work, we propose a new analysis strategy for such doubly censored data by adopting a quantile regression model. We develop computationally simple estimation and inference procedures by appropriately using the embedded ...
Ji, Shuang, Peng, Limin, Cheng, Yu, Lai, HuiChuan   +3 more
openaire   +3 more sources

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon, Hugues Chabriat, Dominique Hervé, Stéphanie Guey, Sophie Tezenas Du Montcel, Juliette Ortholand   +5 more
wiley   +1 more source

Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm

Mathematics
Estimating the sparse covariance matrix can effectively identify important features and patterns, and traditional estimation methods require complete data vectors on all subjects.
Shanyi Lin, Qian-Zhen Zheng, Laixu Shang, Ping-Feng Xu, Man-Lai Tang   +4 more
doaj   +1 more source

FHtest: An R Package for the Comparison of Survival Curves with Censored Data

Journal of Statistical Software, 2017
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming (1982). This class is widely used in survival analysis studies and it is a subset of the so-called weighted logrank test statistics.
Ramon Oller, Klaus Langohr
doaj   +1 more source

Impact of Censored or Penalized Data in the Genetic Evaluation of Two Longevity Indicator Traits Using Random Regression Models in North American Angus Cattle

Animals, 2021
This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity ...
Hinayah R. Oliveira, Stephen P. Miller, Luiz F. Brito, Flavio S. Schenkel   +3 more
doaj   +1 more source

Deep survival forests for extremely high censored data [PDF]

, 2022
The Cox proportional hazard model and random survival forests (RSF) are useful semi-parametric and non-parametric methods in modeling time-to-event data. However, both approaches may fail in case of small sample size and/or high censoring rate.
Wang, Hong, Ng, Shu Kay, Wang, Sizheng, Cheng, Xuewei   +3 more
core   +1 more source

Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree, Beatrice Suero, Sarah Walsh, Romain Marignier, John W. Lindsey, Ho Jin Kim, Dewei She, Daniel Cimbora, Dustin Cavida, Friedemann Paul   +9 more
wiley   +1 more source