Parametric Regression Models
Parametric Regression Models is a type of survival regression model that assumes a specific mathematical form for the baseline hazard function, distinguishing it from nonparametric and semiparametric models by requiring full specification of the distributional parameters governing event times.
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2017–2026
316
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Dynamic Conditional Correlation
Robert F. Engle · Journal of Business and Economic Statistics · 2002 · 7.1K citations
Business, Finance, Econometrics +16
<b>MatchIt</b>: Nonparametric Preprocessing for Parametric Causal Inference
Daniel E. Ho, Kosuke Imai, Gary King et al. · Journal of Statistical Software · 2011 · 4.4K citations · Full text
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Harvard University
Cambridge, United States
25 h-index
41 publications
7.6K citations
University of Washington
Seattle, United States
21 h-index
34 publications
2.9K citations

Karolinska Institutet
Stockholm, Sweden
20 h-index
100 publications
5K citations
University of California, Berkeley
Berkeley, United States
19 h-index
31 publications
1.7K citations

Johns Hopkins University
Baltimore, United States
19 h-index
62 publications
8.6K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
16 h-index
29 publications
2.8K citations
University of Copenhagen
Copenhagen, Denmark
15 h-index
29 publications
1.4K citations
Texas A&M University
College Station, United States
14 h-index
24 publications
1.5K citations
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72 publications · 23.2K citations
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49 publications · 4.7K citations
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68 publications · 6.6K citations
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30 publications · 3.9K citations
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