Results 141 to 150 of about 304,459 (351)

Bias Correction in Multiple Systems Estimation

Journal of Official Statistics
If part of a population is hidden but two or more samples are available that each cover parts of this population, multiple systems estimation can be applied to estimate the size of this population. A problem is that these estimates suffer from finite-sample bias that can be substantial in case of a small sample or a small population size. This problem
Daan B. Zult, Peter G. M. van der Heijden, Bart F. M. Bakker   +2 more
openaire   +4 more sources

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Performance of a New Restricted Biased Estimator in Logistic Regression

, 2017
Yasin Asar
openalex   +1 more source

The Impact of Tilburg Frailty on Poststroke Fatigue in First‐Ever Stroke Patients: A Cross‐Sectional Study With Unified Measurement Tools and Improved Statistics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen, Xiao‐Xue Wang, Shao‐Rui Bao, Sui‐Li Lin, Mei‐Chun Shu, Xi‐Xi Ye, Wen‐Jie Cong   +6 more
wiley   +1 more source

Estimation of a Dynamic Panel Data: The Case Of Corporate Investment in Chile [PDF]

In this paper I discuss about the estimation of Dynamic Panel Data model, showing that we can reduce the finite-sample bias of the Arellano-Bond estimator by truncation of the number of lags used in this estimator.
Rodrigo Alfaro
core  

Appendix A. Full derivations of log response ratio estimators, discussion on how to upkeep the accuracy of these estimators, a description of the probability distribution of response ratios, and Monte Carlo results on the bias of variance estimators, skewness of response ratios, and accuracy of Geary’s test.

, 2016
Lajeunesse Marc J.
openalex   +1 more source

A New Biased Estimator in Linear Regression Model [PDF]

, 2016
Huibing Hao, Chunping Li
openalex   +1 more source

Biased estimators in beta regression model in the presence of Multicollinearity

, 2023
Ghada Yousef
openalex   +2 more sources

Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion [PDF]

, 2021
The Tien Mai
openalex   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source