Results 71 to 80 of about 13,961,135 (286)
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
BMC Health Services ResearchBackground Successful implementation and sustainability of person-centred care (PCC) require continuous evaluations and valid measurements. While several instruments measure patients’ experience with PCC, to our knowledge, no validated instrument exists ...
Theresa Larsen +4 more
doaj +1 more source
The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]
In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Ivailo Partchev +6 more
core
Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
Marginal Maximum Likelihood Estimation of Item Response Models in R
Journal of Statistical Software, 2007 Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items.
Matthew S. Johnson
doaj
Using the area between two item response functions to index differential item functioning : a generalized approach [PDF]
, 1994 The area between two item response functions was used to construct two indicators of differential item functioning. The first indicator was designed from the integral of the difference of the two response functions across six standard deviations of ...
Penny, James A. +1 more
core
A new method for detecting differential item functioning in the Rasch model [PDF]
, 2010 Differential item functioning (DIF) can lead to an unfair advantage or disadvantage for certain subgroups in educational and psychological testing. Therefore, a variety of statistical methods has been suggested for detecting DIF in the Rasch model.
Zeileis, Achim +2 more
core +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods
Journal of Statistical Software, 2010 The R package plink has been developed to facilitate the linking of mixed-format tests for multiple groups under a common item design using unidimensional and multidimensional IRT-based methods.
Jonathan P. Weeks
doaj
The Reliability-First Myth in Item Selection – Why Item Difficulty Matters
Psychological Test Adaptation and Development: Psychological tests are commonly evaluated using internal consistency, indexed by Cronbach's α. This emphasis fosters the assumption that maximizing α is sufficient for building useful scales – a position we call the reliability-first myth. The present
Sophie C. Bauditz, Matthias Ziegler
doaj +1 more source