Be In The Know
Tutorials
Estimating input parameters for decision models
Dias, Sofia, Nicky J. Welton, Alex J. Sutton, and A. E. Ades. 2013. “Evidence Synthesis for Decision Making 1: Introduction.” Medical Decision Making 33 (5): 597–606. Read here.
Dias, Sofia, Alex J. Sutton, A. E. Ades, and Nicky. J. Welton. 2013. “Evidence Synthesis for Decision Making 2: A Generalized Linear Modeling Framework for Pairwise and Network Meta-analysis of Randomized Controlled Trials.” Medical Decision Making 33 (5): 607–17. Read here.
Dias, Sofia, Alex J. Sutton, Nicky J. Welton, and A. E. Ades. 2013a. “Evidence Synthesis for Decision Making 3: Heterogeneity−Subgroups, Meta-Regression, Bias, and Bias-Adjustment.” Medical Decision Making 33 (5): 618–40. Read here.
Dias, Sofia, Nicky J. Welton, Alex J. Sutton, Deborah M. Caldwell, Guobing Lu, and A. E. Ades. 2013. “Evidence Synthesis for Decision Making 4: Inconsistency in Networks of Evidence Based on Randomized Controlled Trials.” Medical Decision Making 33 (5): 641–56. Read here.
Dias, Sofia, Alex J. Sutton, Nicky. J. Welton, and A. E. Ades. 2013b. “Evidence Synthesis for Decision Making 6: Embedding Evidence Synthesis in Probabilistic Cost-effectiveness Analysis.” Medical Decision Making 33 (5): 671–78. Read here.
Dias, Sofia, Nicky J Welton, Alex J Sutton, and A. E. Ades. 2013. “Evidence synthesis for decision making 5: the baseline natural history model.” Medical Decision Making 33 (5): 657–70. Read here.
Welton, Nicky J., and A. E. Ades. 2005. “Estimation of Markov Chain Transition Probabilities and Rates from Fully and Partially Observed Data: Uncertainty Propagation, Evidence Synthesis, and Model Calibration.” Medical Decision Making 25 (6): 633–45. Read here.
Williams, Claire, James D. Lewsey, Andrew H. Briggs, and Daniel F. Mackay. 2017. “Cost-Effectiveness Analysis in R Using a Multi-state Modeling Survival Analysis Framework: A Tutorial.” Medical Decision Making 37 (4): 340–52. Read here.
Building decision models
Filipović-Pierucci, Antoine, Kevin Zarca, and Isabelle Durand-Zaleski. 2017. “Markov Models for Health Economic Evaluations: The R Package heemod.” 1. Vol. 1. Read here.
Jansen, Jeroen P., Devin Incerti, and Mark T. Linthicum. 2019. “Developing Open-Source Models for the US Health System: Practical Experiences and Challenges to Date with the Open-Source Value Project.” PharmacoEconomics, no. 0123456789 (August). Springer International Publishing. Read here.
Krijkamp, Eline M, Fernando Alarid-Escudero, Eva A Enns, Petros Pechlivanoglou, M G Myriam Hunink, and Hawre J Jalal. 2019. “A Multidimensional Array Representation of State-Transition Model Dynamics.” bioRxiv, January, 670612. Read here.
Krijkamp, Eline M., Fernando Alarid-Escudero, Eva A. Enns, Hawre J. Jalal, M. G. Myriam Hunink, and Petros Pechlivanoglou. 2018. “Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial.” Medical Decision Making 38 (3): 400–422. Read here.
Processing output for decision models
Alarid-Escudero, Fernando, Eva A. Enns, Karen M. Kuntz, Tzeyu L. Michaud, and Hawre Jalal. 2018. “‘Time Traveling Is Just Too Dangerous’ But Some Methods Are Worth Revisiting: The Advantage of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier.” Value in Health 22 (5): 611–18.
Baio, Gianluca, Andrea Berardi, and Anna Heath. 2017. Bayesian Cost-Effectiveness Analysis with the R package BCEA. Use R! Cham: Springer International Publishing. Read here.
Jalal, Hawre, and Fernando Alarid-Escudero. 2018. “A Gaussian Approximation Approach for Value of Information Analysis.” Medical Decision Making 38 (2): 174–88. Read here.
Methodology
Baio G. Bayesian Methods in Health Economics. CRC Press. 2012. Buy here.
Williams C, Lewsey JD, Briggs AH, Mackay DF. Cost-effectiveness Analysis in R Using a Multi-state Modeling Survival Analysis Framework: A Tutorial. Med Decis Making. 2016;37(4):340-52. Read here.
Williams C, Lewsey JD, Mackay DF, Briggs AH. Estimation of Survival Probabilities for Use in Cost-effectiveness Analyses: A Comparison of a Multi-state Modeling Survival Analysis Approach with Partitioned Survival and Markov Decision-Analytic Modeling. 2016;37(4):427-39. Read here.
Patient-level simulation TSD. NICE Decision Support Unit. 2017. Read here.
Commentaries
Krijkamp E, Enns EA. An Update on the DARTH Workgroup: The Road So Far. SMDM Spring Newsletter. 2018. Read here.
Baio G, Heath A. When simple becomes complicated: why Excel should lose its place at the top table. GRHTA. 2017;4(1):e3 – e6. Read here.
Alarid-Escudero, F. Health Decision Sciences in the Era of Open-source Software. SMDM Spring Newsletter. 2016. Read here.
Baio, Gianluca, and Anna Heath. 2017. “When Simple Becomes Complicated: Why Excel Should Lose its Place at the Top Table.” Global & Regional Health Technology Assessment: Italian; Northern Europe and Spanish 4 (1): grhta.5000247. Read here.
Incerti, Devin, Howard Thom, Gianluca Baio, and Jeroen P. Jansen. 2019. “R You Still Using Excel? The Advantages of Modern Software Tools for Health Technology Assessment.” Value in Health 22 (5). Elsevier Inc: 575–79. Read here.
Beal, Brennan. 2019. “Expected Loss.” Expected Loss. Read here.
Jalal, H. and Burke, D.S., 2019. Hexamaps for Visualizing Age-Period-Cohort Data Trends. medRxiv, p.19011700. Read here.
Reviews
Ucar I, Smeets B, Azcorra A. simmer: Discrete-Event Simulation for R. J Stat Softw, accepted for publication. 2018. Read about it here.
Hollman, Chase, Mike Paulden, Petros Pechlivanoglou, and Christopher McCabe. 2017. “A Comparison of Four Software Programs for Implementing Decision Analytic Cost-Effectiveness Models.” PharmacoEconomics 35 (8): 817–30. Read here.
Jalal, Hawre, Petros Pechlivanoglou, Eline M. Krijkamp, Fernando Alarid-Escudero, Eva Enns, and M. G. Myriam Hunink. 2017. “An Overview of R in Health Decision Sciences.” Medical Decision Making 37 (7): 735–46. Read here.
Sampson, Christopher James, Renée Arnold, Stirling Bryan, Philip Clarke, Sean Ekins, Anthony Hatswell, Neil Hawkins, et al. 2019. “Transparency in Decision Modelling: What, Why, Who and How?” PharmacoEconomics, June. Read here.
R-related
Ucar I, Smeets B, Azcorra A. simmer: Discrete-Event Simulation for R. J Stat Softw, accepted for publication. 2018. Read about it here.
Hawkins, N., D. Epstein, M. Drummond, J. Wilby, A. Kainth, D. Chadwick, and M. Sculpher. 2005. “Assessing the cost-effectiveness of new pharmaceuticals in epilepsy in adults: the results of a probabilistic decision model.” Medical Decision Making 25 (5): 493–510. Read here.
Hawkins, N., M. Schulpher, and D. Epstein. 2005. “Cost-Effectiveness Analysis of Treatments for Chronic Disease: Using R to Incorporate Time Dependency of Treatment Response.” Medical Decision Making 25 (5): 511–19. Read here.
Jutkowitz, E., F. Alarid-Escudero, K. M. Kuntz, and H. Jalal. 2019. “The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Size from a Value of Information Analysis.” PharmacoEconomics 37 (7): 871–77. Read here.
Hart, R., Burns, D., Ramaekers, B., Ren, S., Gladwell, D., Sullivan W., Davidson, N., Saunders, O., Sly, I., Cain, T. and Lee, D., 2020. R and Shiny for Cost-Effectiveness Analyses: Why and When? A Hypothetical Case Study. PharmacoEconomics. Read here.