Model Predictive Checks
Model Predictive Checks is a statistical validation technique used in population pharmacokinetic-pharmacodynamic modeling that assesses the adequacy of a proposed model by comparing observed data to the posterior predictive distribution of replicated data generated under the model.
72
Publications
4K
Citations
265
Authors
159
Institutions
Publications per year
2017–2026
24
Variants
Posterior Predictive Checks
72
A guide to Bayesian model checking for ecologists
Paul B. Conn, Devin S. Johnson, Perry J. Williams et al. · Ecological Monographs · 2018 · 261 citations
Computing, Biostatistics, Ecology +17
Model Selection Methods for Mixture Dichotomous IRT Models
Feiming Li, Allan S. Cohen, Seock‐Ho Kim et al. · Applied Psychological Measurement · 2009 · 165 citations
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159

King Saud University
Riyadh, Saudi Arabia
5 h-index
15 publications
397 citations
Bahauddin Zakariya University
Multan, Pakistan
5 h-index
25 publications
594 citations

University of the Punjab
Lahore, Pakistan
5 h-index
5 publications
116 citations

Uppsala University
Uppsala, Sweden
4 h-index
14 publications
506 citations
Inserm
Paris, France
4 h-index
4 publications
64 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
64 citations
Harvard University
Cambridge, United States
3 h-index
6 publications
175 citations
Duke University
Durham, United States
3 h-index
6 publications
328 citations
1–8 of 159
5 publications · 380 citations
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PSP · 4 publications · 68 citations
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3 publications · 78 citations
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BJCP · 3 publications · 100 citations
3
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3 publications · 74 citations
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