Prediction-corrected Visual Predictive Checks
Prediction-Corrected Visual Predictive Check is a diagnostic graphical method in model evaluation that adjusts observed and simulated data by their population model-predicted values to enable visual comparison of distributions while mitigating bias from model misspecification in pharmacometric or statistical modeling.
18
Publications
1.8K
Citations
127
Authors
55
Institutions
Publications per year
2017–2026
14
Variants
Pcvpc
18
Ling Xue, Xiaoliang Ding, Zhenya Shen et al. · British Journal of Clinical Pharmacology · 2016 · 45 citations · Full text
1–5 of 18
127
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Cincinnati Children's Hospital Medical Center, United States
1 publications · 24 citations
1
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1
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1
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1–5 of 127
55
Certara (United States)
St Louis, United States
2 h-index
4 publications
70 citations
Children's Hospital of Fudan University
Shanghai, China
2 h-index
7 publications
137 citations
Integra LifeSciences (United States)
Plainsboro Center, United States
2 h-index
4 publications
70 citations
Inserm
Paris, France
1 h-index
1 publications
26 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
3 publications
57 citations
Chulalongkorn University
Bangkok, Thailand
1 h-index
5 publications
65 citations
Universidad de la República de Uruguay
Montevideo, Uruguay
1 h-index
6 publications
66 citations
The University of Texas Health Science Center at Houston
Houston, United States
1 h-index
1 publications
19 citations
1–8 of 55
BJCP · 2 publications · 69 citations
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AAC · 2 publications · 67 citations
2
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2 publications · 43 citations
2
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1 publications · 19 citations
1
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AAPSJ · 1 publications · 1.4K citations
1
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1–5