6 citations · 6 across the 6 of their papers we have counts for
6 papers
Value of Information under Imprecise Probabilities: Decision-Rule-Specific Values and Fixed-Measure Envelopes on a Credal Set
Rowan Iskandar
Value-of-information (VOI) analysis is usually conducted under a single probability measure. However, in practice, the available evidence often pins the measure down only to a set.…
Imprecise Transition Matrices for Markov Cohort Models: Lower and Upper Expectations with a Practical Health Economic Application
Rowan Iskandar
In applied health research, Markov cohort models are built on a precisely specified transition probability matrix. However, in many applications, the available evidence -- transiti…
Probability Bound Analysis for Dependence Uncertainty in Risk and Decision Models
Rowan Iskandar
Risk and decision models often combine sparse marginal information, precisely specified probability distributions, and dependence assumptions that are only partly justified. Probab…
Markov cohort state-transition model: A multinomial distribution representation
Rowan Iskandar, Cassandra Berns
Markov cohort state-transition models have been the standard approach for simulating the prognosis of patients or, more generally, the life trajectories of individuals over a time…
Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis
Rowan Iskandar
Decisions about health interventions are often made using limited evidence. Mathematical models used to inform such decisions often include uncertainty analysis to account for the…
Active learning for efficiently training emulators of computationally expensive mathematical models
Alexandra G. Ellis, Rowan Iskandar, Christopher H. Schmid +2
An emulator is a fast-to-evaluate statistical approximation of a detailed mathematical model (simulator). When used in lieu of simulators, emulators can expedite tasks that require…