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Hematology/Oncology Clinics of North America, 2004
The best predictive models of today can predict no more than 50% of the natural variability of the disease, despite the sophisticated mathematic analyses and the dozens of variables assessed. Clearly, a universe of still unknown prognostic factors remains to be discovered.
Gianfranco, Buccheri, Domenico, Ferrigno
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The best predictive models of today can predict no more than 50% of the natural variability of the disease, despite the sophisticated mathematic analyses and the dozens of variables assessed. Clearly, a universe of still unknown prognostic factors remains to be discovered.
Gianfranco, Buccheri, Domenico, Ferrigno
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FACTOR INTERACTION IN NONLINEAR FACTOR ANALYSIS
British Journal of Mathematical and Statistical Psychology, 1967Factor interaction models are defined as those cases in nonlinear factor analysis in which the specification equation contains products of two or more latent variables or functions of latent variables. A complete algebraic treatment is given for the case of a product of two latent variables, and certain more general cases are briefly outlined.
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The Journal of Psychology, 1966
(1966). Factors and Factor Analyses. The Journal of Psychology: Vol. 64, No. 2, pp. 159-166.
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(1966). Factors and Factor Analyses. The Journal of Psychology: Vol. 64, No. 2, pp. 159-166.
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Factoring Effectivess Factors!
Journal of the Operational Research Society, 1990M J Foster, A R Lock
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