Semblanza Fernando Alarid-Escudero is an Assistant Professor in the Division of Public Administration, a member of the Drug Policy Program (PPD) and the head of the Project of Decision Analysis in Uncertain Contexts (PADeCI; https://padeci.org) at the Center for Research and Teaching in Economics (CIDE) Region Centro in Aguascalientes, Mexico. He obtained his PhD in Health Decision Sciences from the University of Minnesota School of Public Health. His research focuses on developing statistical and decision-analytic models to identify optimal prevention, control and treatment strategies of different diseases, and on developing novel methods to quantify the value of future research. Dr. Alarid-Escudero is part of the Cancer Intervention and Surveillance Modeling Network (CISNET), consortium of NCI-sponsored investigators that includes modeling to improve our understanding of the impact of cancer control interventions (e.g., prevention, screening, and treatment) on population trends in incidence and mortality. Dr. Alarid-Escudero is a co-founding member of the Stanford-CIDE Coronavirus Simulation Modeling (SC-COSMO) workgroup (https://www.sc-cosmo.org). He is also a co-founding member of the Decision Analysis in R for Technologies in Health (DARTH) workgroup (http://darthworkgroup.com) and the Collaborative Network on Value of Information (ConVOI; https://www.convoi-group.org), international and multi-institutional collaborative efforts where we develop transparent and open-source solutions to implement decision analysis and quantify the value of potential future investigation for health policy analysis.

Artículos

• A Cost-effectiveness Analysis of Systemic Therapy for Metastatic Hormone-sensitive Prostate Cancer
  Niranjan J. Sathianathen, Fernando Alarid-Escudero, Karen M. Kuntz, Nathan Lawrentschuk, Damien M. Bolton, Declan G. Murphy, Simon P. Kim, and Badrinath R. Konety. A Cost-efectiveness Analysis of Systemic Therapy for Metastatic Hormone-sensitive Prostate Cancer, European Urology Oncology, 2019, http://doi.org/10.1016/j.euo.2019.01.004
  2019-01-01
• The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Size from a Value of Information Analysis
  Eric Jutkowitz, Fernando Alarid-Escudero, Karen M. Kuntz, and Hawre Jalal. The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Sizw from a Value of Information Analysis, Pharmaco Economics, Published online: 14 February 2019 http://doi.org/10.1007/s40273-019-00770-z
  2019-01-01
• 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, Eva A. Enns, Karen M. Kuntz, Tzeyu L. Michaud, and Hawre Jalal. 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, Value in Health, Volume 22, Issue 5, May 2019, Pages 611-618 DOI: https://doi.org/10.1016/j.jval.2019.02.008
  2019-01-01
• A Value of Information Analysis of Reserch on the 21-Gene Assay for Breast Cancer Management
  Natalia R. Kinst, Fernando Alarid-Escudero, A. David Paltiel, and Shi-Yi Wang. A Value of Information Analysis of Reserch on the 21-Gene Assay for Breast Cancer Management, Value in Health, 2019 https://doi.org/10.1016/j.jval.2019.05.004
  2019-01-01
• Estimated Quality of Life and Economic Outcomes Associated With 12 Cervical Cancer Screening Strategies: A Cost-effectiveness Analysis
  George F. Sawaya; Erinn Sanstead; Fernando Alarid-Escudero; Karen Smith-McCune; Steven E. Gregorich; Michael J. Silverberg; Wendy Leyden; Megan J. Huchko; Miriam Kuppermann; Shalini Kulasingam. Estimated Quality of Life and Economic Outcomes Associated With 12 Cervical Cancer Screening Strategies: A Cost-effectiveness Analysis, JAMA Internal Medicine, 2019; 179(7):867-878. doi:10.1001/jamainternmed.2019.0299
  2019-01-01
• A Multidimensional Array Representation of State-transition Model Dynamics
  Eline M. Krijkamp, Fernando Alarid-Escudero,, Eva A. Enns, Petros Pechlivanoglou, M.G. Myriam Hunink, Alan Yang, and Hawre J. Jalal, A Multidimensional Array Representation of State-transition Model Dynamics, Medical Decision Making, First Published January 28, 2020, https://doi.org/10.1177/0272989X19893973
  2020-01-01
• Potential bias associated with modeling the effectiveness of health- care interventions in reducing mortality using an overall hazard ratio
  Fernando Alarid-Escudero, and Karen M. Kuntz. Potential Bias Associated with Modeling the Effectiveness of Healthcare Interventions in Reducing Mortality Using an Overall Hazard Ratio, PharmacoEconomics, March, 38(3), pages 285–296 (2020) https://doi.org/10.1007/s40273-019-00859-5
  2020-01-01
• A need for change! A coding framework for improving transparency in decision modeling
  Fernando Alarid-Escudero, Eline M. Krijkamp, Petros Pechlivanoglou, Hawre Jalal, Szu-Yu Zoe Kao, Alan Yang, and Eva A. Enns. A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling, PharmacoEconomics, 37(11) pages: 1329-1339 (2019) https://doi.org/10.1007/s40273-019-00837-x
  2020-01-01
• Estimating the Natural History of Cervical Carcinogenesis Using Simulation Models: A CISNET Comparative Analysis
  Emily A Burger, Inge M C M de Kok, Emily Groene, James Killen, Karen Canfell, Shalini Kulasingam, Karen M Kuntz, Suzette Matthijsse, Catherine Regan, Kate T Simms, Megan A Smith, Stephen Sy, Fernando Alarid-Escudero, Vivek Vaidyanathan, Marjolein van Ballegooijen, Jane J Kim. Estimating the Natural History of Cervical Carcinogenesis Using Simulation Models: A CISNET Comparative Analysis, JNCI: Journal of the National Cancer Institute, Published: 10 December 2019, https://doi.org/10.1093/jnci/djz227
  2020-01-01
• Midwife-led care and obstetrician-led care for low-risk pregnancies: A cost comparison
  Laura B. Attanasio, Fernando Alarid?Escudero, Katy B. Kozhimannil. Midwife-led care and obstetrician-led care for low-risk pregnancies: A cost comparison, Birth, 2020;47(1):57-66 doi:10.1111/birt.12464
  2020-01-01
• Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies
  Anna Heath, Natalia Kunst, Christopher Jackson, Mark Strong, Fernando Alarid-Escudero, Jeremy D. Goldhaber-Fiebert, Gianluca Baio, Nicolas A. Menzies, and Hawre Jalal on behalf of the Collaborative Network for Value of Information (ConVOI). Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies, Medical Decision Making, (First Published April 16, 2020) Vol. 40(3), 2020 314–326, DOI: 10.1177/0272989X20912402
  2020-01-01
• Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods
  Natalia Kunst, Edward C.F. Wilson, David Glynn, Fernando Alarid-Escudero, Gianluca Baio, Alan Brennan, Michael Fairley, Jeremy D. Goldhaber-Fiebert, Chris Jackson, Hawre Jalal, Nicolas A. Menzies, Mark Strong, Howard Thom, Anna Heath, on behalf of the Collaborative Network for Value of Information (ConVOI). Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods. Value in Health, Volume 23, Issue 6, June 2020, Pages 734-742 https://doi.org/10.1016/j.jval.2020.02.010
  2020-01-01