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Analysis of Presurgical Language in Children with Posterior Fossa Tumours Relative to Postoperative Speech Outcomes: Findings from the European CMS Study. [PDF]

Cerebellum
Reinders A, Svaldi C, Kingma A, Grønbæk JK, Thomsen DB, Persson K, Mathiasen R, Dahl C, Carai A, Andreozzi B, Mastronuzzi A, Pizer B, Thorbinson C, Aquilina K, Hoving E, Juhler M, Jonkers R, de Aguiar V.   +17 more
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Intention to disclose medical errors by healthcare providers to patients and associated factors in Ugandan health facilities: A cross-sectional study. [PDF]

PLOS Glob Public Health
Alupo C, Izudi J, Ddamulira C.
europepmc   +1 more source

A Conceptual Framework for Understanding Patient Expectations in Individualised Anaesthesia and Analgesia: A Narrative Review and Future Directions. [PDF]

J Pers Med
Mogianos K, Persson AKM.
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Direct comparison of temporal error monitoring in humans and rats. [PDF]

iScience
Bilgin SN, Doyère V, Kononowicz TW.
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Non-lethal imaging and modeling approaches for estimating dry mass in aquatic larvae. [PDF]

PLoS One
Granados Frias D, Akbari N, O'Connell LA, Juarez BH.   +3 more
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Methodological concerns regarding stepwise regression and construct overlap in caregiver burden research. [PDF]

Dement Neuropsychol
de Araujo DSG.
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Identifiability in dynamic errors-in-variables models

The 22nd IEEE Conference on Decision and Control, 1983
Abstract. This paper is concerned with the identifiability of scalar linear dynamic errors‐in‐variables systems. The analysis is based on second moments only. The set of feasible systems corresponding to given second moments of the observations is described and conditions for identifiability are derived for the case of rational transfer functions.
Anderson, Brian D.O., Deistler, Manfred
openaire   +3 more sources

Identification in the Linear Errors in Variables Model

Econometrica, 1983
Consider the following multiple linear regression model with errors in variables: \(y_ j=\xi^ T\!_ j\beta +\epsilon_ j\), \(x_ j=\xi_ j+\nu_ j\), \(j=1,...,n\), where \(\xi_ j\), \(x_ j\), \(\nu_ j\), and \(\beta\) are k-vectors, \(y_ j\), \(\epsilon_ j\) are scalars. The \(\xi_ j\) are unobserved variables: instead the \(x_ j\) are observed.
Kapteyn, Arie, Wansbeek, Tom
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