Covariate Modeling
Covariate Modeling is a pharmacometric method within population pharmacokinetic-pharmacodynamic analysis that identifies and quantifies the influence of measurable patient-specific factors, such as demographic, physiological, or genetic characteristics, on interindividual variability in drug exposure and response.
792
Publications
61.2K
Citations
2.8K
Authors
1.1K
Institutions
Publications per year
2017–2026
163
792
Flexible regression models with cubic splines
Sylvain Durrleman, Richard Simon · Statistics in Medicine · 1989 · 2.7K citations
1–5 of 792
2.8K
13
h-index
12
h-index
10
h-index
8
h-index
University of California San Diego, United States
6 publications · 511 citations
6
h-index
1–5 of 2.8K
1.1K
Harvard University
Cambridge, United States
23 h-index
64 publications
4.6K citations

Johns Hopkins University
Baltimore, United States
20 h-index
63 publications
4.4K citations
University of California, Los Angeles
Los Angeles, United States
15 h-index
21 publications
2.8K citations

Uppsala University
Uppsala, Sweden
15 h-index
43 publications
3.3K citations
University of California, San Francisco
San Francisco, United States
14 h-index
30 publications
2.9K citations
Fred Hutch Cancer Center
Seattle, United States
14 h-index
27 publications
2.5K citations

University of Toronto
Toronto, Canada
14 h-index
45 publications
3K citations
Stanford University
Stanford, United States
13 h-index
19 publications
3.2K citations
1–8 of 1.1K
72 publications · 10.2K citations
40
h-index
46 publications · 3.6K citations
29
h-index
26 publications · 2.8K citations
21
h-index
25 publications · 2.1K citations
19
h-index
BJCP · 20 publications · 941 citations
18
h-index
1–5