1 citations · 1 across the 3 of their papers we have counts for
7 papers
Microsimulation Estimates of Decision Uncertainty and Value of Information Are Biased but Consistent
Jeremy D. Goldhaber-Fiebert, Hawre Jalal, Fernando Alarid Escudero
Individual-level state-transition microsimulations (iSTMs) have proliferated for economic evaluations in place of cohort state transition models (cSTMs). Probabilistic economic eva…
A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example
Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns +4
In an introductory tutorial, we illustrated building cohort state-transition models (cSTMs) in R, where the state transitions probabilities were constant over time. However, in pra…
BayCANN: Streamlining Bayesian Calibration with Artificial Neural Network Metamodeling
Hawre Jalal, Fernando Alarid-Escudero
Purpose: Bayesian calibration is theoretically superior to standard direct-search algorithm because it can reveal the full joint posterior distribution of the calibrated parameters…
An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example
Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns +4
Decision models can combine information from different sources to simulate the long-term consequences of alternative strategies in the presence of uncertainty. A cohort state-trans…
Computing the Expected Value of Sample Information Efficiently: Expertise and Skills Required for Four Model-Based Methods
Natalia R. Kunst, Edward Wilson, Fernando Alarid-Escudero +11
Objectives: Value of information (VOI) analyses can help policy-makers make informed decisions about whether to conduct and how to design future studies. Historically, a computatio…
Characterization and valuation of uncertainty of calibrated parameters in stochastic decision models
Fernando Alarid-Escudero, Amy B. Knudsen, Jonathan Ozik +2
We evaluated the implications of different approaches to characterize uncertainty of calibrated parameters of stochastic decision models (DMs) in the quantified value of such uncer…