Andres Alban
Andres Alban
INSEAD, Technology and Operations Management
Verified email at insead.edu
Title
Cited by
Cited by
Year
Efficient Monte Carlo methods for estimating failure probabilities
A Alban, HA Darji, A Imamura, MK Nakayama
Reliability Engineering & System Safety 165, 376-394, 2017
362017
ICU capacity management during the COVID-19 pandemic using a process simulation
A Alban, SE Chick, DA Dongelmans, APJ Vlaar, D Sent
Intensive care medicine, 1-3, 2020
182020
ICU capacity management during the COVID-19 pandemic using a stochastic process simulation
A Alban, SE Chick, DA Dongelmans, AF van der Sluijs, WJ Wiersinga, ...
INSEAD Working Paper, 2020
102020
Cost-effective clinical trial design: application of a Bayesian sequential stopping rule to the ProFHER pragmatic trial
M Forster, S Brealey, S Chick, A Keding, B Corbacho, A Alban, A Rangan
Department of Economics, University of York Discussion Papers, 2019
22019
Extending a Bayesian decision-theoretic approach to value-based sequential clinical trial design
A Alban, SE Chick, M Forster
2018 Winter Simulation Conference (WSC), 2459-2470, 2018
12018
Variance reduction for estimating a failure probability with multiple criteria
A Alban, HA Darji, A Imamura, MK Nakayama
2016 Winter Simulation Conference (WSC), 302-313, 2016
12016
A Simulation Model to Evaluate the Patient Flow in an Intensive Care Unit Under Different Levels of Specialization
A Alban, SE Chick, O Lvova, D Sent
INSEAD Working Paper, 2020
2020
Value-based clinical trials: selecting trial lengths and recruitment rates in different regulatory contexts
A Alban, SE Chick, M Forster
Department of Economics and Related Studies, University of York, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–8