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  1. Statistical analysis of in vitro tumor growth experiments.

    Article - En anglais

    We review and compare statistical methods for the analysis of in vivo tumor growth experiments.

    The methods most commonly used are deficient in that they have either low power or misleading type I error rates.

    We propose a set of multivariate statistical modeling methods that correct these problems, illustrating their application with data from a study of the effect of alpha-difluoromethylornithine on growth of the BT-20 human breast tumor in nude mice.

    All the methods find significant differences between the alpha-difluoromethylornithine dose groups, but recommanded sample sizes for a subsequent study are much smaller with the multivariate methods.

    Mots-clés Pascal : Méthode statistique, Croissance, Tumeur maligne, In vivo, Article synthèse, Etude comparative, Epidémiologie

    Mots-clés Pascal anglais : Statistical method, Growth, Malignant tumor, In vivo, Review, Comparative study, Epidemiology

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 94-0132820

    Code Inist : 002B04B. Création : 199406.