Structural Zero Models
Structural Zero Models is a statistical modeling framework within categorical data analysis that accounts for structural zeros by explicitly distinguishing between categories that are impossible by definition and those that are merely unobserved due to sampling variation.
22
Publications
851
Citations
48
Authors
43
Institutions
Publications per year
2017–2026
5
22
Semiparametric Analysis of Zero‐Inflated Count Data
Kwok Fai Lam, Hongqi Xue, Yin Bun Cheung · Biometrics · 2006 · 78 citations
1–5 of 22
48
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3
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2
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2
h-index
1–5 of 48
43
University of Rochester Medical Center
Rochester, United States
2 h-index
7 publications
259 citations
Duke University
Durham, United States
2 h-index
3 publications
91 citations
HKU-Pasteur Research Pole
Hong Kong, Hong Kong
1 h-index
1 publications
78 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
1 h-index
1 publications
78 citations
University College London
London, United Kingdom
1 h-index
1 publications
27 citations

Brigham and Women's Hospital
Boston, United States
1 h-index
1 publications
19 citations
Yunnan University
Kunming, China
1 h-index
1 publications
19 citations
Southern Methodist University
Dallas, United States
1 h-index
1 publications
24 citations
1–8 of 43
3 publications · 39 citations
3
h-index
2 publications · 47 citations
2
h-index
2 publications · 121 citations
2
h-index
1 publications · 24 citations
1
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CSDA · 1 publications · 10 citations
1
h-index
1–5