Probabilistic Sensitivity Analysis
Probabilistic Sensitivity Analysis is a statistical methodology within sensitivity analysis that quantifies the effect of uncertainty in model inputs, characterized by probability distributions, on the variability of model outputs, thereby distinguishing itself from deterministic approaches by incorporating probabilistic representations of input parameter uncertainty.
771
Publications
37.4K
Citations
3.2K
Authors
1.3K
Institutions
Publications per year
2017–2026
314
Parents
771
Venous thromboembolism (VTE) in Europe
Giancarlo Agnelli, Frederick A. Anderson, Juan I. Arcelus et al. · Thrombosis and Haemostasis · 2007 · 1.6K citations
Medicine, Biostatistics, Hematology +15
Probabilistic Sensitivity Analysis Using Monte Carlo Simulation
Peter M. Doubilet, Colin B. Begg, Milton C. Weinstein et al. · Medical Decision Making · 1985 · 851 citations
1–5 of 771
3.2K
9
h-index
8
h-index
7
h-index
6
h-index
6
h-index
1–5 of 3.2K
1.3K

University of Toronto
Toronto, Canada
17 h-index
59 publications
2.1K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
16 h-index
48 publications
1.9K citations
University of Sheffield
Sheffield, United Kingdom
15 h-index
69 publications
7.3K citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
13 h-index
35 publications
1.1K citations
Erasmus MC
Rotterdam, The Netherlands
13 h-index
36 publications
1.5K citations
Harvard University
Cambridge, United States
12 h-index
21 publications
631 citations
University College London
London, United Kingdom
12 h-index
35 publications
1.5K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
11 h-index
30 publications
1.1K citations
1–8 of 1.3K
MDM · 31 publications · 3.1K citations
23
h-index
24 publications · 1.5K citations
20
h-index
30 publications · 830 citations
19
h-index
JME · 14 publications · 407 citations
13
h-index
13 publications · 382 citations
12
h-index
1–5