Zobrazeno 1 - 10
of 132
pro vyhledávání: '"D. VERHELST"'
Autor:
L. Schepers, W. Haenen, M. Sabbe, I. Hubloue, K.G. Monsieurs, C. Wyffels, J. Klein Ovink, P.H. Dewolf, M. Van der Auwera, M. Van Eygen, D. Verhelst, O. Bollen, A. Minnart, T. Vandenbosch, S. Bogaerts, P. Winnock de Grave, O. Derycke, P. Calle, B. Jacobs, R. Beckers
Publikováno v:
Tijdschrift voor Geneeskunde.
Autor:
T. Devriendt, M. Shabani, P. Borry, K. Houf, M. Van der Auwera, M. Van Eygen, D. Verhelst, E. Lerut, D. Wildemeersch, I. De Schutter, B. Bautmans, L. Ravez, K. Van den Broeck, A. Werbrouck, L. Annemans, N. Verhaeghe, S. Simoens, N. Bouckaert, C. Maertens de Noordhout, C. Van de Voorde, B. Criel, J. De Lepeleire
Publikováno v:
Tijdschrift voor Geneeskunde.
Autor:
Norman D. Verhelst, Theo J.H.M. Eggen
Publikováno v:
Psicológica, Vol 32, Iss 1, Pp 107-132 (2011)
This study discusses the justifiability of item parameter estimation in incomplete testing designs in item response theory. Marginal maximum likelihood (MML) as well as conditional maximum likelihood (CML) procedures are considered in three commonly
Externí odkaz:
https://doaj.org/article/2587c2cc063948db831babb97da03752
Publikováno v:
Tijdschrift voor Geneeskunde.
The role of population management for the Emergency Assistance: transport of patients with a Covid-19 infection In Belgium, it is obvious for citizens that an ambulance service provides immediate assistance after calling the 112 emergency center. The
Autor:
N. Jourde-Chiche, N. Costedoat-Chalumeau, K. Baumstarck, L. Bouillet, S. Burtey, V. Caudwell, L. Chiche, L. Couzi, C. Deligny, B. Dussol, S. Faguer, P. Gobert, G. Gondran, A. Huart, A. Hummel, E. Kalbacher, A. Karras, M. Lambert, V. Le Guern, S. Loubiere, H. Maillard, F. Maurier, M. Pha, V. Queyrel, F. Sarrot-Reynauld, D. Verhelst, E. Hachulla, Z. Amoura, E. Daugas
Publikováno v:
Annals of the Rheumatic Diseases. 81:185.2-186
BackgroundLupus nephritis (LN) is a frequent complication of systemic lupus erythematosus (SLE). Severe (proliferative) forms of LN are treated with an induction immunosuppressive therapy (IST), followed by a maintenance IST, to target remission and
Autor:
Norman D. Verhelst
Publikováno v:
Journal of Statistical Software, Vol 20, Iss 4 (2007)
The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample sq
Externí odkaz:
https://doaj.org/article/7d3941762b214e9abc8f53d0bf97cbb8
Autor:
Norman D. Verhelst
Publikováno v:
Theoretical and Practical Advances in Computer-based Educational Measurement ISBN: 9783030184797
Two models for continuous responses that allow for separation of item and person parameters are explored. One is a newly developed model which can be seen as a Rasch model for continuous responses, the other is a slight generalization of a model prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06504890205b592f8c08e3c8208c73d6
https://doi.org/10.1007/978-3-030-18480-3_7
https://doi.org/10.1007/978-3-030-18480-3_7
Publikováno v:
European Journal of Science and Mathematics Education, 7(2), 83-92. Bastas
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b324f03ec9e9267d2f27572d5aa97ab7
https://research.utwente.nl/en/publications/8e694ed8-d4aa-4c7a-943b-338adeff898c
https://research.utwente.nl/en/publications/8e694ed8-d4aa-4c7a-943b-338adeff898c
Autor:
Norman D. Verhelst, David Magis
Publikováno v:
Psychometrika. 82:637-647
The purpose of this note is to focus on the finiteness of the weighted likelihood estimator (WLE) of ability in the context of dichotomous and polytomous item response theory (IRT) models. It is established that the WLE always returns finite ability
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