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Important factors in screening for colorectal cancer

Published: 09 December 2007 Publication History

Abstract

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.

References

[1]
Anderson, Virgil L. and Robert A. McLean. 1974. Design of experiments - a realistic approach.: Marcel Dekker Inc.
[2]
Bettonvil, Bert W. M. and Jack. P. C. Kleijnen. 1996. Searching for important factors in simulation models with many factors: Sequential bifurcation. European Journal of Operational Research 96: 180--194.
[3]
Cheng, Russell. C. H. 1997. Searching For Important Factors: Sequential Bifurcation under Uncertainty. In Proceedings of the 1997 Winter Simulation Conference, 275--280.
[4]
Cioppa, Thomas M. Experimental Designs for High-Dimensional Complex Models. 2005. United State Army Training and Doctrine Command Analysis Center.
[5]
Johnson, Wesley O. and Joseph L. Gastwirth. 1999. Dual Group Screening. Journal of Statistical Planning and Inference 83: 449--473.
[6]
Kleijnen, Jack. P. C. 1987. Review of Random and Group-Screening Designs. Communications in statistics. Theory and methods 16, (10): 2885--2837.
[7]
Kleijnen, Jack. P. C. and Robert G. Sargent. 2000. A Methodology for Fitting and Validating Metamodels in Simulation. European Journal of Operational Research 120: 14--29.
[8]
Li, C. H. 1962. A Sequential Method for Screening Experimental Variables. Journal of the American Statistical Association 57: 455--477.
[9]
McKay, M. D., Beckman R. J., and W. J. Conover. 1979. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics 21, (2): 239--245.
[10]
Montgomery, Douglas. C. 2000. Design and Analysis of Experiments. 5 ed.: John Wiley & Sons.
[11]
Montgomery, Douglas. C. 2001. Design and Analysis of Experiments. 5 ed.: John Wiley & Sons.
[12]
Ottieno, J. A. M. and M. S. Patal. 1984. Two Stage Group-Screening Designs with Unequal A-Prior Probability. Communications in statistics. Theory and methods 13, (6): 761--779.
[13]
Patal, M. S. and J. A. M. Ottieno. 1984. Two-Stage Group-Screening Designs with Equal Prior Probabilities and no Errors in Decision. Communications in statistics. Theory and methods 13, (9): 1147--1159.
[14]
Patel, M. S. 1962. Group-screening with more than two stages. Technometrics 4: 209--217.
[15]
Roberts, S. D., L. Wang, R. L. Klein, R. M. Ness, and R. S. Dittus. 2008. Development of a Simulation Model of Colorectal Cancer. Transactions on Modeling and Computer Simulation: to appear in January.
[16]
Sanchez, Susan M. 2005. "NOLHdesigns spread-sheet." Available online via http://diana.cs.nps.navy.mil/SeedLab/ {accessed June 5, 2007}.
[17]
Sanchez, Susan M., Hong Wan, and Thomas W. Lucas. 2005. A Two-Phase Screening Procedure for Simulation Experiments. 223--230. Proceedings of the 2005 Winter Simulation Conference.
[18]
Shen, Hua and Hong Wan. 2005. Controlled Sequential Factorial Design for simulation Factor Screening. 467--474.
[19]
Shen, Hua and Hong Wan. 2006. A Hybrid Method for Simulation Factor Screening. 382--389.
[20]
Tafazzoli, A., S. D. Roberts, R. M. Ness, and R. S. Dittus. 2005. A Comparison of Screening Methods for Colorectal Cancer Using Simulation Modeling. In Proceedings of the 2005 Winter Simulation Conference, ed. Kuhl, M. E., N. M Steiger, F. B. Armstrong, and J. A. Joines, 2236--2245. IEEE.
[21]
Trocine, Linda and Linda C. Malone. 2000. Finding Important Independent Variables through Screening Designs: A Comparison of Methods. In Proceedings of the 2000 Winter Simulation Conference.
[22]
Wallace, T. Dudley. 1977. Pretest Estimation in Regression: A Survey. American Journal of Agrecultral Economics 59, (3): 431--443.
[23]
Wan, Hong, Bruce E. Ankenman, and Barry L Nelson. 2003. Controlled Sequential Bifurcation: A New Factor-Screening Method For Discrete-Event Simulation. In Proceedings of the 2003 Winter Simulation Conference, 565--573.
[24]
Wan, Hong, Bruce E. Ankenman, and Barry L. Nelson. 2004. Simulation Factor Screening with Controlled Sequential Bifurcation in the Presence of Interactions, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL 60208-3119, U.S.A.
[25]
Wan, Hong, Bruce E. Ankenman, and Barry L. Nelson. 2005. Controlled Sequential Bifurcation: A New Factor-Screening Method for Discrete-Event Simulation, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL 60208--3119, U.S.A.
[26]
Ye, Kenny Q. 1998. Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments. Journal of American Statistical Association 93, (444): 1430--1439.

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cover image ACM Conferences
WSC '07: Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
December 2007
2659 pages
ISBN:1424413060

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  • IIE: Institute of Industrial Engineers
  • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
  • ASA: American Statistical Association
  • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International

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Published: 09 December 2007

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  • IEEE/SMC
  • SIGSIM
  • NIST
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WSC07: Winter Simulation Conference
December 9 - 12, 2007
Washington D.C.

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WSC '07 Paper Acceptance Rate 152 of 244 submissions, 62%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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