Results 151 to 160 of about 173,528,053 (291)

Goodness-of-fit indices for competing models of EFL-SSSES.

open access: yes
Goodness-of-fit indices for competing models of EFL-SSSES.
Yawen Wang (1578763)   +1 more
core   +1 more source

Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses. [PDF]

open access: yesCPT Pharmacometrics Syst Pharmacol, 2021
Hartung N   +3 more
europepmc   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Goodness-of-fit indices for competing models of EFL-SSES.

open access: yes
Goodness-of-fit indices for competing models of EFL-SSES.
Yawen Wang (1578763)   +1 more
core   +1 more source

Computing the Two-Sided Kolmogorov-Smirnov Distribution

open access: yesJournal of Statistical Software, 2011
We propose an algorithm to compute the cumulative distribution function of the two-sided Kolmogorov-Smirnov test statistic Dn and its complementary distribution in a fast and reliable way.
Richard Simard, Pierre L'Ecuyer
doaj  

Modulation of the goodness of fit in hydrological modelling based on inner balance errors. [PDF]

open access: yesPLoS One, 2021
Pellicer-Martínez F   +4 more
europepmc   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller   +14 more
wiley   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang   +4 more
wiley   +1 more source

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