Conflicting biomedical assumptions for mathematical modeling: The case of cancer metastasis

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Divoli, Anna ^a,b   Mendonça, Eneida A ^c,d   Evans, James A ^d   Rzhetsky, Andrey ^a,b,d  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; PATHOLOGY;

BIOLOGICAL PHENOMENA; CANCER METASTASIS; CLINICAL ASPECTS; COMPUTATIONAL MODELLING; CUTTING EDGES; MARKOV MODELING; MODELING APPROACH; MOLECULAR ASPECTS; PROBABILISTICS; SCIENTIFIC PUBLICATIONS;

MARKOV PROCESSES;

BIOMEDICINE; CANCER CELL; CANCER GROWTH; CONTROLLED STUDY; EXTRACELLULAR MATRIX; HUMAN; MATHEMATICAL MODEL; METASTASIS; MICROMETASTASIS; PRIMARY TUMOR; PROBABILITY; REVIEW; TROPISM; TUMOR GROWTH; TUMOR MICROENVIRONMENT; TUMOR VASCULARIZATION; BIOLOGICAL MODEL; BIOLOGY; DISEASE COURSE; EXPERT WITNESS;

COMPUTATIONAL BIOLOGY; DISEASE PROGRESSION; EXPERT TESTIMONY; HUMANS; MARKOV CHAINS; MODELS, BIOLOGICAL; NEOPLASM METASTASIS;

EID: 80055087064     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002132     Document Type: Review

References (25)

1. Kuhn TS, (1996) The structure of scientific revolutions Chicago, IL University of Chicago Press.
2. Ioannidis JP, (2005) Why most published research findings are false. PLoS Med 2: e124.
3. Kahneman D, Tversky A, (1979) Prospect Theory- Analysis of Decision under Risk. Econometrica 47: 263-291.
4. Tversky A, Fox CR, (1995) Weighing Risk and Uncertainty. Psychol Rev 102: 269-283.
5. Berrittella M, Certa A, Enea M, Zito P, (2008) Transport policy and climate change: How to decide when experts disagree. Environ Sci Policy 11: 307-314.
6. Woodward RT, Bishop RC, (1996) How to decide if experts disagree: Uncertainty-based choice rules and the safe minimum. Am J Agr Econ 78: 1406-1406.
7. Howson C, Urbach P, (1993) Scientific reasoning: the Bayesian approach Chicago Open Court.
8. Ayyub BM, (2001) Elicitation of expert opinions for uncertainty and risks Boca Raton, Fla. CRC Press.
9. Hanahan D, Weinberg RA, (2000) The hallmarks of cancer. Cell 100: 57-70.
10. Mackay J, American Cancer Society. (2006) The cancer atlas Atlanta, Ga. American Cancer Society.
11. Pawelek JM, (2000) Tumour cell hybridization and metastasis revisited. Melanoma Res 10: 507-514.
12. Nowell PC, (1976) The clonal evolution of tumor cell populations. Science 194: 23-28.
13. Lifsted T, Le Voyer T, Williams M, Muller W, Klein-Szanto A, et al. (1998) Identification of inbred mouse strains harboring genetic modifiers of mammary tumor age of onset and metastatic progression. Int J Cancer 77: 640-644.
14. Paget S, (1889) The distribution of secondary growths in cancer of the breast. Lancet pp. 571-573.
15. Busch H, (1976) A general concept for molecular biology of cancer. Cancer Res 36: 4291-4294.
16. Dennis J, Donaghue T, Florian M, Kerbel RS, (1981) Apparent reversion of stable in vitro genetic markers detected in tumour cells from spontaneous metastases. Nature 292: 242-245.
17. Norris JR, (1998) Markov chains Cambridge, UK; New York Cambridge University Press.
18. Brémaud P, (1999) Markov chains: Gibbs fields, Monte Carlo simulation, and queues New York Springer.
19. Welton NJ, Ades AE, (2005) Estimation of markov chain transition probabilities and rates from fully and partially observed data: uncertainty propagation, evidence synthesis, and model calibration. Med Decis Making 25: 633-645.
20. Burton RA, (2008) On being certain: believing you are right even when you're not New York St. Martin's Press.
21. Franzosi R, (2004) From words to numbers: narrative, data, and social science Cambridge, UK; New York Cambridge University Press.
22. Franzosi R, (1994) From Words to Numbers- a Set-Theory Framework for the Collection, Organization, and Analysis of Narrative Data. Sociol Methodol 24: 105-136.
23. Danowski JA, (2009) Inferences from word networks in messages. In: Krippendorff K, Bock MA, editors. The content analysis reader Thousand Oaks, CA Sage publications pp. 421-429.
24. Abbott A, (1995) Sequence Analysis: New methods for old ideas. Annu Rev Sociol 21: 93-113.
25. Lamont M, (2009) How professors think: inside the curious world of academic judgment Cambridge, Mass. Harvard University Press.