Results 131 to 140 of about 249,301 (292)

The model goodness-of-fit.

, 2019
The model goodness-of-fit.
Hui-Tsai Chen (6288563), Chii Jeng (6288566), Hui-Hui Chien (6288560), Chun-Chung Chen (1587412), Bor-An Chen (6288557)   +4 more
core   +1 more source

A new goodness-of-fit measure for probit models: Surrogate R². [PDF]

Br J Math Stat Psychol, 2023
Liu D, Zhu X, Greenwell B, Lin Z.
europepmc   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Power unit exponential probability distribution: Statistical inference and applications

Alexandria Engineering Journal
We introduce a generalized version of a unit distribution called power unit exponential probability distribution (PUEPrD) using the power transformation of the unit exponential probability distribution.
Najwan Alsadat, Caner Taniş, Laxmi Prasad Sapkota, Rajitha C.S., Mahmoud Mohamed Bahloul, Ahmed M. Gemeay   +5 more
doaj   +1 more source

Goodness-of-fit tests in proportional hazards models with random effects. [PDF]

Biom J, 2023
González-Manteiga W, Martínez-Miranda MD, Van Keilegom I.   +2 more
europepmc   +1 more source

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

Tangent exponential-G family of distributions with applications in medical and engineering

Alexandria Engineering Journal
This study introduces a novel family of probability distributions called the ”tangent exponential-G family,” which is derived using trigonometric transformations of the exponential distribution.
Eslam Hussam, Laxmi Prasad Sapkota, Ahmed M. Gemeay   +2 more
doaj   +1 more source

Reperfusion‐Dependent Outcomes After Endovascular Thrombectomy Stratified by NIHSS‐ASPECTS Clinical‐Core Mismatch

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This analysis evaluates the effect of successful reperfusion on functional outcomes after MT, stratified by admission National Institutes of Health Stroke Scale (NIHSS) and Alberta Stroke Program Early CT Score (ASPECTS) as surrogates for clinical‐core mismatch, using multicenter registry data.
Felix Schlicht, Lukas Meyer, Gabriel Broocks, Matthias Bechstein, Christian Thaler, Christian Heitkamp, Laurens Winkelmeier, Vincent Geest, Alexander Heitkamp, Maximilian Jungnitz, Gregor Peter, Luca Meucci, Tobias Faizy, Jawed Nawabi, Caspar Brekenfeld, Fabian Flottmann, Maximilian Schell, Alexandros Hadjilaou, Uta Hanning, Götz Thomalla, Jens Fiehler, Susanne Gellißen, Helge C. Kniep, for the German Stroke Registry Endovascular Treatment, (GSR‐ET) Alexander Nave, Anna Alegiani, Annerose Mengel, Arno Reich, Bernd Eckert, Charlotte Pietrock, Christian Nolte, Eberhard Siebert, Fabian Flottmann, Fee Keil, Franziska Dorn, Gabor Petzold, Götz Thomalla, Hanna Zimmermann, Jan Borggrefe, Jan Hendrik Schäfer, Jens Fiehler, Joachim Röther, Klaus Gröschel, Lars Kellert, Mario Abruscato, Maximilian Schell, Omid Nikoubashman, Peter Schellinger, Silke Wunderlich, Steffen Tiedt, Sven Thonke, Timo Uphaus, Tobias Boeckh‐Behrens, Ulrike Ernemann   +53 more
wiley   +1 more source

Goodness of fit and adjustment of goodness of fit curve of double Y-axis(the third life cycle).

, 2019
Goodness of fit and adjustment of goodness of fit curve of double Y-axis(the third life cycle).
Junqiang Wan (6383966), Yifei Zhao (3131463)   +1 more
core   +1 more source

Learning to validate generative models: a goodness-of-fit approach

Machine Learning: Science and Technology
Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous validation.
Pietro Cappelli, Gaia Grosso, Marco Letizia, Humberto Reyes-González, Marco Zanetti   +4 more
doaj   +1 more source