Modeling using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4

Caro, 2012, Modeling good research practices—overview: a report of the ISPOR-SMDM modeling good research practices task force-1, Value Health, 15, 796, 10.1016/j.jval.2012.06.012 Roberts, 2012, Conceptualizing a model: a report of the ISPOR-SMDM modeling good research practices task force-2, Value Health, 15, 804, 10.1016/j.jval.2012.06.016 Siebert, 2012, State-transition modeling: a report of the ISPOR-SMDM modeling good research practices task force-3, Value Health, 15, 812, 10.1016/j.jval.2012.06.014 Pitman, 2012, Dynamic transmission modeling: a report of the ISPOR-SMDM modeling good research practices task force-5, Value Health, 15, 828, 10.1016/j.jval.2012.06.011 Briggs, 2012, Model parameter estimation and uncertainty: a report of the ISPOR-SMDM modeling good research practices task force-6, Value Health, 15, 835, 10.1016/j.jval.2012.04.014 Eddy, 2012, Model transparency and validation: a report of the ISPOR-SMDM modeling good research practices task force-7, Value Health, 15, 843, 10.1016/j.jval.2012.04.012 Pidd, 2004 Jacobson, 2006, Discrete-event simulation of health care systems, patient flow: reducing delay in healthcare delivery, Int Ser Oper Res Manag Sci, 91, 211, 10.1007/978-0-387-33636-7_8 Figge, 2005, Stochastic discrete event simulation of germinal center reactions, Phys Rev E Stat Nonlin Soft Matter Phys, 71, 1, 10.1103/PhysRevE.71.051907 Zand, 2004, Discrete event modeling of CD4+ memory T cell generation, J Immunol, 173, 3763, 10.4049/jimmunol.173.6.3763 Coelli, 2007, Computer simulation and discrete-event models in the analysis of a mammography clinic patient flow, Comput Methods Programs Biomed, 87, 201, 10.1016/j.cmpb.2007.05.006 Comas, 2008, Discrete-event simulation applied to the analysis of waiting lists: evaluation of a prioritization system for cataract surgery, Value Health, 11, 1203, 10.1111/j.1524-4733.2008.00322.x Stahl, 2004, Reorganizing the system of care surrounding laparoscopic surgery: a cost-effectiveness analysis using discrete-event simulation, Med Decis Making, 24, 461, 10.1177/0272989X04268951 Clark, 1994, Optimal location for a helicopter in a rural trauma system: prediction using discrete-event computer simulation, Proc Annu Symp Comput Appl Med Care, 888 Chase, 2006, Using simulation to estimate the cost effectiveness of improving ambulance and thrombolysis response times after myocardial infarction, Emerg Med J, 23, 67, 10.1136/emj.2004.023036 Skolnik, 2008, Shortening the timeline of pediatric phase I trials: the rolling six design, J Clin Oncol, 26, 190, 10.1200/JCO.2007.12.7712 Barth-Jones, 2000, Monte Carlo simulation experiments for analysis of HIV vaccine effects and vaccine trial design, Winter Simul Conf Proc, 2, 1985 Groothuis, 2000, Discrete event simulation in the health policy and management program, Methods Inf Med, 39, 339, 10.1055/s-0038-1634444 Mar, 2010, Budget impact analysis of thrombolysis for stroke in Spain: a discrete event simulation model, Value Health, 13, 69, 10.1111/j.1524-4733.2009.00655.x Stahl, 2007, Assessing emerging technologies--the case of organ replacement technologies: volume, durability, cost, Int J Technol Assess Health Care, 23, 331, 10.1017/S0266462307070535 Brennan, 2006, A taxonomy of model structures for economic evaluation of health technologies, Health Econ, 15, 1295, 10.1002/hec.1148 Stahl, 2008, Modelling methods for pharmacoeconomics and health technology assessment: an overview and guide, Pharmacoeconomics, 26, 131, 10.2165/00019053-200826020-00004 Karnon, 1998, Selecting a decision model for economic evaluation: a case study and review, Health Care Manag Sci, 1, 133, 10.1023/A:1019090401655 Karnon, 2009, A hybrid cohort individual sampling natural history model of age-related macular degeneration: assessing the cost-effectiveness of screening using probabilistic calibration, Med Decis Making, 29, 304, 10.1177/0272989X08327491 Tosh, 2011, Cost-effectiveness of combination nonbiologic disease-modifying antirheumatic drug strategies in patients with early rheumatoid arthritis, J Rheumatol, 38, 1593, 10.3899/jrheum.101327 Caro, 2007, Cost-benefit analysis of preventing sudden cardiac deaths with an implantable cardioverter defibrillator versus amiodarone, Value Health, 10, 13, 10.1111/j.1524-4733.2006.00140.x Jahn, 2010, Capacity constraints and cost-effectiveness: a discrete event simulation for drug-eluting stents, Med Decis Making, 30, 16, 10.1177/0272989X09336075 Cooper, 2002, The development of a simulation model of the treatment of coronary heart disease, Health Care Manag Sci, 5, 259, 10.1023/A:1020378022303 Auchincloss, 2008, A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health, Am J Epidemiol, 168, 1, 10.1093/aje/kwn118 Borshchev, 2004, From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools Crane, 2011, A discrete event simulation to optimise the allocation of constrained hospital resources for glaucoma, Value Health, 14, A55, 10.1016/j.jval.2011.02.314 Vanni, 2011, Calibrating models in economic evaluation: a seven-step approach, Pharmacoeconomics, 29, 35, 10.2165/11584600-000000000-00000 Karnon, 2011, Calibrating models in economic evaluation: a comparison of alternative measures of goodness-of-fit, parameter search strategies, and convergence criteria, Pharmacoeconomics, 29, 51, 10.2165/11584610-000000000-00000 O'Hagan, 2006 Grimshaw, 2004, Effectiveness and efficiency of guideline dissemination and implementation strategies, Health Technol Assess, 8, 1, 10.3310/hta8060 Barton, 2004, The use of modelling to evaluate new drugs for patients with a chronic condition: the case of antibodies against tumour necrosis factor in rheumatoid arthritis, Health Technol Assess, 8, 1, 10.3310/hta8110 Law, 2007 Duintjer Tebbens, 2008, Uncertainty and sensitivity analyses of a dynamic economic evaluation model for vaccination programs, Med Decis Making, 28, 182, 10.1177/0272989X07311752 O'Hagan, 2007, Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVA, Health Econ, 16, 1009, 10.1002/hec.1199 Stevenson, 2004, Gaussian process modelling in conjunction with individual patient simulation modelling: a case study describing the calculation of cost-effectiveness ratios for the treatment of osteoporosis, Med Decis Making, 24, 89, 10.1177/0272989X03261561