Three-parameter Logistic Model Fit
Three-Parameter Logistic Model Fit is a statistical assessment method that evaluates the compatibility between observed item response data and the theoretical expectations of a three-parameter logistic item response theory model by estimating item difficulty, discrimination, and pseudo-guessing parameters to determine model adequacy.
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2017–2026
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Specification Tests for the Multinomial Logit Model
Jerry A. Hausman, Daniel McFadden · Econometrica · 1984 · 2.5K citations · Full text
Guidelines for accurate EC50/IC50 estimation
Jeanne L. Sebaugh · Pharmaceutical Statistics · 2010 · 939 citations
Pharmacy, Pharmacology, Toxicology +12
Delphine S. Courvoisier, Christophe Combescure, Thomas Agoritsas et al. · Journal of Clinical Epidemiology · 2011 · 312 citations · Full text
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Educational Testing Service
Princeton, United States
8 h-index
15 publications
621 citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
16 publications
1.4K citations

University of Twente
Enschede, The Netherlands
4 h-index
4 publications
265 citations

University of Georgia
Athens, United States
4 h-index
7 publications
257 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
8 publications
247 citations
University of Iowa
Iowa City, United States
3 h-index
4 publications
344 citations
Macao Polytechnic University
Macao, Macao
2 h-index
4 publications
90 citations

Nnamdi Azikiwe University
Awka, Nigeria
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3 publications
52 citations
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