Fernando Alarid-Escudero

发表

Cohort state-transition models in R: From conceptualization to implementation

Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns, 2020, 2001.07824.

Nonidentifiability in Model Calibration and Implications for Medical Decision Making

Fernando Alarid-Escudero, Eva A. Enns, Richard F. MacLehose, 2018, Medical decision making : an international journal of the Society for Medical Decision Making.

BayCANN: Streamlining Bayesian Calibration With Artificial Neural Network Metamodeling

Fernando Alarid-Escudero, Hawre Jalal, T. Trikalinos, 2020, Frontiers in Physiology.

POTENTIAL BIAS ASSOCIATED WITH MODELING THE EFFECTIVENESS OF TREATMENT USING AN OVERALL HAZARD RATIO

Fernando Alarid-Escudero, 2014 .

Research Prioritisation and Study Design Using Value of Information Analysis

Fernando Alarid-Escudero, Hawre Jalal, Jeremy D. Goldhaber-Fiebert, 2019 .

The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Size from a Value of Information Analysis

Fernando Alarid-Escudero, Hawre Jalal, Karen M Kuntz, 2019, PharmacoEconomics.

An Overview of R in Health Decision Sciences

Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns, 2017, Medical decision making : an international journal of the Society for Medical Decision Making.

dampack: An R package with useful functions to develop and analyze decision-analytic models

Fernando Alarid-Escudero, 2018 .

Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods.

Mark Strong, Gianluca Baio, Fernando Alarid-Escudero, 2020, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

COMPARISON OF CALIBRATION METHODS FOR NATURAL HISTORY SIMULATION MODELS

Fernando Alarid-Escudero, 2016 .

Optimal Research Design Using Value of Information

Fernando Alarid-Escudero, Hawre Jalal, Jeremy D. Goldhaber-Fiebert, 2019 .

CALIBRATION OF PIECEWISE MARKOV MODELS USING A BAYESIAN CHANGE-POINT ANALYSIS THROUGH AN ITERATIVE CONVEX OPTIMIZATION ALGORITHM

Fernando Alarid-Escudero, 2014 .

A Multidimensional Array Representation of State-Transition Model Dynamics

Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns, 2019, bioRxiv.

R computer code to compute EVPPI and EVSI

Fernando Alarid-Escudero, 2017 .

A Gaussian Approximation Approach for Value of Information Analysis

Fernando Alarid-Escudero, Hawre Jalal, F. Alarid-Escudero, 2017, Medical decision making : an international journal of the Society for Medical Decision Making.

Cohort State-Transition Models in R: A Tutorial.

Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns, 2020 .

"Time Traveling Is Just Too Dangerous" but Some Methods Are Worth Revisiting: The Advantages of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier.

Fernando Alarid-Escudero, Hawre Jalal, Eva A Enns, 2019, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial

Fernando Alarid-Escudero, Eline M. Krijkamp, Petros Pechlivanoglou, 2018, Medical decision making : an international journal of the Society for Medical Decision Making.

A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling

Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns, 2019, PharmacoEconomics.

DECISION MODELLING USING R

Fernando Alarid-Escudero, 2016 .

A Multidimensional Array Representation of State-Transition Model Dynamics

Fernando Alarid-Escudero, Petros Pechlivanoglou, Alan Yang, 2020, Medical decision making : an international journal of the Society for Medical Decision Making.

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, 2021 .