High precision implementation of Steck's recursion method for use in goodness-of-fit tests. [PDF]
Wang J, Miecznikowski JC.
europepmc +1 more source
Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino +25 more
wiley +1 more source
"Empirical characteristic function approach to goodness-of-fit tests for the Cauchy distribution with parameters estimated by MLE or EISE" [PDF]
We consider goodness-of-fit tests of Cauchy distribution based on weighted integrals of the squared distance of the difference between the empirical characteristic function of the standardized data and the characteristic function of the standard Cauchy ...
Akimichi Takemura, Muneya Matsui
core
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes. [PDF]
El-Aroui MA.
europepmc +1 more source
Prioritizing the Interview in Selecting Resident Applicants: Behavioral Interviews to Determine Goodness of Fit. [PDF]
Prystowsky MB +4 more
europepmc +1 more source
Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova +9 more
wiley +1 more source
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments. [PDF]
Pączek K +3 more
europepmc +1 more source
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
GIVE Statistic for Goodness of Fit in Instrumental Variables Models with Application to COVID Data
Dhar SS, Shalabh S.
europepmc +2 more sources
An exploration of testing genetic associations using goodness-of-fit statistics based on deep ReLU neural networks. [PDF]
Shen X, Wang X.
europepmc +1 more source

