Results 131 to 140 of about 166,182,603 (289)

A consolidated study of goodness-of-fit tests

, 1984
An important problem in statistical inference is to check the adequacy of models upon which inferences are based. Some valuable tools are available for examining a model's suitability of which the most widely used is the goodness-of-fit test.
Paul, Ajay K
core  

Goodness-of-fit indices of the dimensional models tested.

, 2019
Goodness-of-fit indices of the dimensional models tested.
Alicia Pérez de Albéniz (3768919), Marta Bañuelos (7314227), Javier Ortuño-Sierra (496812), Eduardo Fonseca-Pedrero (453497), Beatriz Lucas Molina (3768922)   +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

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Goodness-of-fit indexes of the models tested.

, 2019
Goodness-of-fit indexes of the models tested.
Onintze Letona-Ibañez (7470599), Silvia Martinez-Rodriguez (6568057), Nuria Ortiz-Marques (6568052), Maria Carrasco (7470602), Alejandro Amillano (6568054)   +4 more
core   +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

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

GAD65 Antibody ELISA With Extended Reportable Range: Validation and Guidance for Neurological Practice

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon, Dana Olofson, Diana Anissian, Divyanshu Dubey, Eoin P. Flanagan, Max C. Herman, Sarosh R. Irani, Daniel H. Lachance, Maria A. Willrich, Sean Pittock, John R. Mills, Anastasia Zekeridou   +11 more
wiley   +1 more source

High‐Resolution MRI Revealed Different Etiology‐Specific Associations With Cerebral Infarction in Adult Moyamoya Vasculopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han, Jiachun Pan, Yuehui Hong, Xiaoyuan Fan, Ming Yao, Lixin Zhou, Yicheng Zhu, Feng Feng, Jun Ni   +8 more
wiley   +1 more source

Pearson's goodness-of-fit tests for sparse distributions. [PDF]

J Appl Stat, 2023
Chang S, Li D, Qi Y.
europepmc   +1 more source