Surrogate Endpoint Modeling
Surrogate Endpoint Modeling is a type of cost-effectiveness modeling that uses surrogate endpoints as proxy measures for clinically meaningful outcomes to estimate the long-term effectiveness of health interventions when direct evidence is limited or unavailable.
112
Publications
6.7K
Citations
503
Authors
268
Institutions
Publications per year
2017–2026
28
Parents
112
The intermediate endpoint effect in logistic and probit regression
David P. MacKinnon, Chondra M. Lockwood, C. Hendricks Brown et al. · Clinical Trials · 2007 · 260 citations · Full text
Tomasz Burzykowski, Geert Molenberghs, Marc Buyse et al. · Journal of the Royal Statistical Society Series C (Applied Statistics) · 2001 · 218 citations · Full text
1–5 of 112
503
International Drug Development Institute (Belgium), Belgium
11 publications · 662 citations
11
h-index
10
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10
h-index
8
h-index
6
h-index
1–5 of 503
268
University of Washington
Seattle, United States
14 h-index
27 publications
2.2K citations
Fred Hutch Cancer Center
Seattle, United States
10 h-index
34 publications
3.7K citations

Hasselt University
Hasselt, Belgium
10 h-index
23 publications
591 citations
National Cancer Institute
Bethesda, United States
9 h-index
15 publications
943 citations
International Drug Development Institute (Belgium)
Brussels, Belgium
9 h-index
13 publications
766 citations
Harvard University
Cambridge, United States
9 h-index
21 publications
1.2K citations
University of Michigan
Ann Arbor, United States
7 h-index
11 publications
510 citations

Johns Hopkins University
Baltimore, United States
6 h-index
9 publications
1K citations
1–8 of 268
13 publications · 853 citations
12
h-index
13 publications · 1.1K citations
12
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4 publications · 147 citations
4
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4 publications · 91 citations
4
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Repository · 3 publications · 92 citations
3
h-index
1–5