Results 181 to 190 of about 15,323 (252)

Semantic Information Theory and Applications. [PDF]

Entropy (Basel)
Tao M, Niu K, Wu Y.
europepmc   +1 more source

A tutorial for understanding SEM using R: Where do all the numbers come from?

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley   +1 more source

Parasitic Infections and Associated Cognitive Outcome Among School-Aged Children in Africa: A Systematic Review. [PDF]

Brain Behav
Adu AM, Simpong DL, Donkor DM, Manu KS, Antwi MH, Kpelle L, Osei GN, Bockarie A.   +7 more
europepmc   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Contextualizing Socioeconomic Status Effects on Adolescent Brain Structure and Cognitive Skills: Evidence From the ABCD Study. [PDF]

Dev Sci
Marzoratti A, Lipscomb DW, Newman BT, Horn JDV, Evans TM.   +4 more
europepmc   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

Enzymatic colorimetric encoding-based digital medicine for pancreatic cancer diagnosis. [PDF]

Nat Commun
Mao D, Liu C, Zhang R, Ma Z, Wu L, Zhu M, Tang X, Chen W, Deng J, Gou H, Dun X, Chen J, Liu Z, Li W, Sun F, Zhu X.   +15 more
europepmc   +1 more source

A quad‐cistronic fluorescent biosensor system for real‐time detection of subcellular Ca2+ signals

British Journal of Pharmacology, EarlyView.
Background and Purpose The calcium ion (Ca2+) is a versatile cellular messenger regulating a variety of biological processes. Compounds modulating subcellular Ca2+ signals hold substantial pharmacological potential. Advances in fluorescent biosensors have revolutionised Ca2+ imaging.
Anna Lischnig, Yusuf C. Erdoğan, Benjamin Gottschalk, Michael Gruber, Andrea Groselj‐Strele, Sandra Burgstaller, Wolfgang F. Graier, Roland Malli   +7 more
wiley   +1 more source