Results 131 to 140 of about 375,535 (333)
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Generalized linear models are applied for data analysis in various areas. One of the most important steps in fitting the model is to check the goodness-of-fit; however, there is a lack of such tests.
Vilijandas Bagdonavičius +1 more
doaj +1 more source
Goodness-of-fit tests via characterizations. general approach [PDF]
K. W. Morris, Dominik Szynal
openalex +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
A systematic approach to modeling monthly maximum temperature and total rainfall in Kenya
Goodness of fit (GOF) test approaches for selecting probability distributions of climatic variables are pervasive in the statistical literature. However, a combined approach of multiple tests remains underutilized despite evidence supporting their ...
Kevin Otieno +3 more
doaj +1 more source
Goodness-of-fit tests for the logistic location family. [PDF]
Nikitin YY, Ragozin IA.
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Bootstrapped Tests for Epistemic Fuzzy Data
Epistemic bootstrap is a resampling algorithm that generates bootstrap real-valued samples based on some epistemic fuzzy data input. We apply this method as a universal basis for various statistical tests which can be then directly used for fuzzy random ...
Grzegorzewski Przemysław +1 more
doaj +1 more source
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
Goodness of fit test for ergodic diffusion processes [PDF]
Ilia Negri, Yoichi Nishiyama
openalex +1 more source

