Cancer

Download Breast Cancer: Translational Therapeutic Strategies by Gary H. Lyman, Harold J. Burstein PDF

By Gary H. Lyman, Harold J. Burstein

Contemplating the influence of translational breakthroughs at the early detection, prognosis, prevention, and remedy of breast melanoma, this all-encompassing advisor collects state-of-the-art examine at the so much promising ideas and brokers prone to influence the administration and long term results of girls with breast melanoma. This ebook will supply present info on swiftly evolving translational cures, in addition to stronger recommendations for the choice of sufferers for those remedies.

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Altman DG. Suboptimal analysis using “optimal” cutpoints. Brit J Cancer 1998; 78(4):556– 557. 24 Altman 20. Bossard N, Descotes F, Bremond AG, et al. Keeping data continuous when analyzing the prognostic impact of a tumor marker: an example with cathepsin D in breast cancer. Breast Cancer Res Treat 2003; 82:47 – 59. 21. Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med 2006; 25(1):127 –141. 22. Morgan TM, Elashoff FA. Effect of categorizing a continuous covariate on the comparison of survival time.

To some degree we must blame the methods of these studies. . They seldom published the coefficients of their models so that others could validate the results, and they almost never validated their models with their own test data. Interpretation of the literature is further hindered by variability in the clinical aspects of the studies. Some studies focused on only node negative or node positive cancers, or considered these groups separately, whereas most studies included both, with nodal status included in the modeling.

Stat Med 2004; 23(5):723– 748. 30. Burke HB, Goodman PH, Rosen DB, et al. Artificial neural networks improve the accuracy of cancer survival prediction. Cancer 1997; 79(4):857– 862. 31. Lockwood CA, Ricciardelli C, Raymond WA, Seshadri R, McCaul K, Horsfall DJ. A simple index using video image analysis to predict disease outcome in primary breast cancer. Int J Cancer 1999; 84(3):203– 208. 32. Haybittle JL, Blamey RW, Elston CW, Johnson J, Doyle PJ, Campbell FC. A prognostic index in primary breast cancer.

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