Results 121 to 130 of about 304,459 (351)
ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley +1 more source
Improved Coefficient and Variance Estimation in Stable First-Order Dynamic Regression Models [PDF]
In dynamic regression models the least-squares coefficient estimators are biased in finite samples, and so are the usual estimators for the disturbance variance and for the variance of the coefficient estimators.
Garry D. A. Phillips, Jan F. Kiviet
core
Bias Correction in a Stable AD(1,1) Model [PDF]
This paper compares the behaviour of a bias-corrected estimator assuming strongly exogenous regressors to the behaviour of a bias-corrected estimator assuming weakly exogenous regressors, when in fact the marginal model contains a feedback mechanism.
van Giersbergen, Noud P.A.
core
Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks
This paper presents a new regression estimator for the total of a population created by means of the minimization of a measure of dispersion and the use of the Wilcoxon scores.
HUGO ANDRÉS GUTIÉRREZ, F. JAY BREIDT
doaj
ABSTRACT Objective Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta‐analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS ...
Katalin Lugosi +8 more
wiley +1 more source
On Calculation of the Extended Gini Coefficient. [PDF]
The conventional formula for estimating the extended Gini coefficient is a covariance formula provided by Lerman and Yitzhaki (1989). We suggest an alternative estimator obtained by approximating the Lorenz curve by a series of linear segments.
Chotikapanich, D., Griffiths, W.
core
A diagnostic for bias in linear mixed model estimators induced by dependence between the random effects and the corresponding model matrix [PDF]
Andrew T. Karl, Dale L. Zimmerman
openalex +1 more source
Pre‐Diagnostic Features of Multiple Sclerosis in a Diverse UK Cohort: A Nested Case–Control Study
ABSTRACT Background Many patients with Multiple Sclerosis (MS) experience nonspecific symptoms prior to diagnosis. This period—the 'MS prodrome'—has been described in socio‐economically homogeneous cohorts to date. It remains unclear to what extent events prior to an MS diagnosis differ according to social determinants of health. Methods We conducted a
Pooja Tank +3 more
wiley +1 more source
Individual effects and dynamics in count data models [PDF]
In this paper we examine the panel data estimation of dynamic models for count data that include correlated fixed effects and predetermined variables. Use of a linear feedback model ls proposed.
Blundell, R. +2 more
core
Longitudinal changes in salivary biomarkers in Parkinson’s disease (PD) from early (T0) to 4‐year follow‐up (T1), quantified by ELISA: oligomeric and total α‐synuclein, total and phosphorylated tau, MAP1LC3B (autophagy), and TNFa (inflammation). Blue arrows indicate direction of change at T1 vs T0 (up = increase; down = decrease).
Maria Ilenia De Bartolo +13 more
wiley +1 more source

