Covariate Effect Estimation is a statistical inference method that quantifies the influence of explanatory variables on the recurrence rate or intensity of events over time, distinguishing itself by accounting for within-subject correlation and time-dependent covariate dynamics in longitudinal event data.
98
Publications
12.7K
Citations
224
Authors
167
Institutions
Publications per year
2017–2026
18
Parents
Publications
98
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Scott L. Zeger, Kung‐Yee Liang · Biometrics · 1986 · 7.8K citations
Combining multiple microarray studies and modeling interstudy variation
Jung Kyoon Choi, Ung-Sik Yu, Sang Soo Kim et al. · Bioinformatics · 2003 · 421 citations
1–5 of 98
Authors
224
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1–5 of 224
Institutions
167
Harvard University
Cambridge, United States
8 h-index
11 publications
344 citations
Fred Hutch Cancer Center
Seattle, United States
4 h-index
4 publications
130 citations
University of Washington
Seattle, United States
4 h-index
5 publications
183 citations
Johns Hopkins University
Baltimore, United States
3 h-index
5 publications
415 citations
University of Waterloo
Waterloo, Canada
3 h-index
4 publications
155 citations
North Carolina State University
Raleigh, United States
3 h-index
9 publications
774 citations
Brown University
Providence, United States
3 h-index
4 publications
367 citations
University of California, San Francisco
San Francisco, United States
3 h-index
4 publications
185 citations
1–8 of 167
Venues
- Biometrics
12 publications · 8.6K citations
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- Statistics in Medicine
12 publications · 290 citations
11
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- Biometrika
7 publications · 449 citations
7
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- Journal of the American Statistical Association
6 publications · 299 citations
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- Biostatistics
5 publications · 197 citations
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