Results 191 to 200 of about 304,459 (351)

Simple Method to Compute Biases and Mean Squared Errors of Linear Estimators and Predictors in a Selection Model Assuming Multivariate Normality

, 1988
Charles Henderson
openalex   +1 more source

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Combining the list-experiment and direct question to improve estimation of abortion incidence. [PDF]

Am J Epidemiol
Jackson HM, Rendall MS.
europepmc   +1 more source

Exploiting Gene‐Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes‐Type Shrinkage Estimator to Trade‐Off between Bias and Efficiency [PDF]

, 2007
Bhramar Mukherjee, Nilanjan Chatterjee
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Re-weighted estimation of the transition probability density for second-order diffusion processes. [PDF]

PLoS One
Li Y, Wang Y, Tang M.
europepmc   +1 more source

Improving unbiasedness of the proportional hazards model estimator with Cox and Snell's bias approximation and jackknife resampling

Huang Chia-Hui, Weng, Ruby Chiu-Hsing
openalex   +1 more source

A Review on the Biasing Parameters of Ridge Regression Estimator in LRM

, 2014
Madhulika Dube, Isha Isha
openalex   +2 more sources

Understanding the potential bias of variance components estimators when using genomic models [PDF]

, 2018
Beatriz C. D. Cuyabano, Anders Christian Sørensen, Peter Sørensen   +2 more
openalex   +1 more source

Correcting the bias of the sample cross‐covariance estimator

, 2023
Yifan Li
openalex   +2 more sources