Abstract
Studies of survival time of gliomas are usually correlated to histological grading systems. Therapeutic trials were performed under this reference (14). But actuarial survival curves point out a relative disparity in each well defined histologic group (5,15). This data may be related to exceptions without distinctive feature or may bring out other prognostic factors. A lot of these possible factors have been reported: age, functional status, symptomatology, duration of the pre-therapeutic course, C.T. scan aspects (1, 6, 9, 16, 15). To analyse the liability of each factor for prognosis, the usual method requires a successive stratification of the population: two or more subgroups according, for exemple, to age are broken up into other subgroups according to another factor... This method is quickly restricted by the number of cases in each subgroup and can be considered as valid only if each factor is independant of the others. In fact the prognostic is the result of the interactions between them. So it is most interesting to draw up a multivariate analysis taking into accont simultaneously the whole of these factors. A mathematical modeling strategy is required and founded upon their respective role and their connections.
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© 1987 Martinus Nijhoff Publishers, Dordrecht
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Rougier, A., Dartigues, J.F., Cohadon, F. (1987). Supra-Tentorial Gliomas: Multivariate Analysis of Prognostic Factors. In: Chatel, M., Darcel, F., Pecker, J. (eds) Brain Oncology Biology, diagnosis and therapy. Developments in Oncology, vol 52. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3347-7_44
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DOI: https://doi.org/10.1007/978-94-009-3347-7_44
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