Gaussian process emulation to improve efficiency of computationally intensive multidisease models: a practical tutorial with adaptable R code

[1] Rutter CM(2011)Dynamic microsimulation models for health outcomes: a review Med Decis Mak 31 10-18

[2] Zaslavsky AM(1965)Simulation of mathematical models for public health problems Public Health Rep 80 1067-1076

[3] Feuer EJ(2012)Advances in microsimulation modeling of population health determinants, diseases, and outcomes Epidemiol Res Int 2012 1-3

[4] Elveback L(2019)Economic modelling of chronic kidney disease: a systematic literature review to inform conceptual model design Pharmacoeconomics 37 1451-1468

[5] Varma A(2018)Costs and cost-effectiveness of HIV/NCD integration in Africa: from theory to practice HHS public access Aids 32 83-92

[6] Kopec JA(2017)Graphics processing units in bioinformatics, computational biology and systems biology Brief Bioinform 18 870-885

[7] Edwards K(2015)Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda PLoS Comput Biol 11 e1003968-3548

[8] Manuel DG(2020)Active learning for efficiently training emulators of computationally expensive mathematical models Stat Med 39 3521-695

[9] Rutter CM(2013)Comparative Effectiveness of Alternative Prostate-Specific Antigen–Based Prostate Cancer Screening Strategies Ann Intern Med 158 145-62

[10] Sugrue DM(2013)Using microsimulation models to inform U.S. health policy making Health Serv Res 48 686-184

[1] Rutter CM(2011)Dynamic microsimulation models for health outcomes: a review Med Decis Mak 31 10-18

[2] Zaslavsky AM(1965)Simulation of mathematical models for public health problems Public Health Rep 80 1067-1076

[3] Feuer EJ(2012)Advances in microsimulation modeling of population health determinants, diseases, and outcomes Epidemiol Res Int 2012 1-3

[4] Elveback L(2019)Economic modelling of chronic kidney disease: a systematic literature review to inform conceptual model design Pharmacoeconomics 37 1451-1468

[5] Varma A(2018)Costs and cost-effectiveness of HIV/NCD integration in Africa: from theory to practice HHS public access Aids 32 83-92

[6] Kopec JA(2017)Graphics processing units in bioinformatics, computational biology and systems biology Brief Bioinform 18 870-885

[7] Edwards K(2015)Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda PLoS Comput Biol 11 e1003968-3548

[8] Manuel DG(2020)Active learning for efficiently training emulators of computationally expensive mathematical models Stat Med 39 3521-695

[9] Rutter CM(2013)Comparative Effectiveness of Alternative Prostate-Specific Antigen–Based Prostate Cancer Screening Strategies Ann Intern Med 158 145-62

[10] Sugrue DM(2013)Using microsimulation models to inform U.S. health policy making Health Serv Res 48 686-184