Patient-level Predictive Models
Patient-Level Predictive Models is a computational framework that enables individualized outcome forecasting by modeling heterogeneity in treatment responses through the integration of patient-specific covariates within subgroup effect analysis.
95
Publications
5.6K
Citations
436
Authors
221
Institutions
Publications per year
2017–2026
51
95
Jenna Reps, Martijn J. Schuemie, Marc A. Suchard et al. · Journal of the American Medical Informatics Association · 2018 · 233 citations · Full text
Illusory generalizability of clinical prediction models
Adam M. Chekroud, Matt Hawrilenko, Hieronimus Loho et al. · Science · 2024 · 232 citations
Tree-based methods for individualized treatment regimes
Eric B. Laber, Ying‐Qi Zhao · Biometrika · 2015 · 202 citations · Full text
Jeffrey H. Silber, Paul R. Rosenbaum, Richard N. Ross · Journal of the American Statistical Association · 1995 · 187 citations
1–5 of 95
436
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 436
221
University Medical Center Utrecht
Utrecht, The Netherlands
5 h-index
12 publications
530 citations
Utrecht University
Utrecht, The Netherlands
5 h-index
6 publications
291 citations
Harvard University
Cambridge, United States
4 h-index
12 publications
583 citations
Erasmus MC
Rotterdam, The Netherlands
4 h-index
6 publications
517 citations
University College London
London, United Kingdom
4 h-index
10 publications
595 citations

Johns Hopkins University
Baltimore, United States
3 h-index
4 publications
85 citations

University of Manchester
Manchester, United Kingdom
3 h-index
13 publications
455 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
3 h-index
5 publications
284 citations
1–8 of 221
5 publications · 593 citations
5
h-index
5 publications · 227 citations
5
h-index
4 publications · 218 citations
4
h-index
3 publications · 66 citations
4
h-index
Repository · 2 publications · 103 citations
2
h-index
1–5