Searching for important factors: sequential bifurcation under uncertainty
Proceedings of the 29th conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
A two-phase screening procedure for simulation experiments
WSC '05 Proceedings of the 37th conference on Winter simulation
Controlled sequential factorial design for simulation factor screening
WSC '05 Proceedings of the 37th conference on Winter simulation
A comparison of screening methods for colorectal cancer using simulation modeling
WSC '05 Proceedings of the 37th conference on Winter simulation
Design and Analysis of Experiments
Design and Analysis of Experiments
A hybrid method for simulation factor screening
Proceedings of the 38th conference on Winter simulation
Development of a simulation model of colorectal cancer
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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A complex, stochastic simulation model of Colorectal Cancer (CRC) is examined through factor screening to determine which factors in the model are important. The factor screening employs a Resolution IV 2k Fractional Factorial experimental design. The factors are examined in terms of their impact on cost, quality-adjusted life-years (QALY), and cost per QALYs. Out of 72 factors, eight factors were determined to be most important and observed as "driving factors" in the CRC model. Surprisingly these factors were consistently important for all outcomes. However the limitations of the experimental design may have constrained the important factors to factors related only to the natural history of the disease and therefore subject to minimal control.