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1. Krijkamp E, Alarid-Escudero F, Enns EA, Jalal HJ, Hunink MG, Pechlivanoglou P. Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial. Med Decis Making, 2018;38(3):400-422. Read here.

2. Jalal HJ, Pechlivanoglou P, Krijkamp E, Alarid-Escudero F, Enns EA, Hunink MG.  An overview of R in Health Decision Sciences. Med Decis Making. 2017;37(7): 735-46. Read here.

Methodology Papers

  1. Alarid-Escudero F, Maclehose RF, Peralta Y, Kuntz KM, Enns EA. Non-identifiability in model calibration and implications for medical decision making. Med Decis Mak. 2018;In Press.
  2. Jalal HJAlarid-Escudero F. A Gaussian Approximation Approach for Value of Information Analysis. Med Decis Making. 2018;38(2):174–88. Read here.
  3. Hollman C, Paulden M, Pechlivanoglou P, McCabe C. A Comparison of Four Software Programs for Implementing Decision Analytic Cost-Effectiveness Models. Pharmacoeconomics. Springer International Publishing; 2017;35(8):817–30. Read here.
  4. Goldhaber-Fiebert JD, Jalal HJ. Some health states are better than others: using health state rank order to improve probabilistic analyses. Med Decis Making. 2016;36(8):927-40. Read here. 
  5. Enns EA, Cipriano LE, Simons CT, Kong CY. Identifying Best-Fitting Inputs in Health-Economic Model Calibration: A Pareto Frontier Approach. Med Decis Making. 2015;35(2):170–82. Read here.
  6. Jalal HJ, Dowd B, Sainfort F, Kuntz KM. Linear regression metamodeling as a tool to summarize and present simulation model results. Med Decis Making. 2013;33(7):880–90. Read here.
  7. Enns EA, Brandeau ML. Inferring model parameters in network-based disease simulation. Health Care Manag Sci. 2011;14(2):174–88. Read here
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