title: [Statistical analysis of a prognostic study].
abstract: Prognostic studies aim to stress and quantify the effect of some individual characteristics on the evolution of an illness. Statistically speaking, most of the time, a prognostic study relying on a censored endpoint can be summarized in building a Cox model. Even though they are often encountered in clinical research or in epidemiology, prognostic studies are rarely reliable and there is no real consensus on the way to perform them. The aim of this article is to give some directions regarding the analysis of such studies. For illustration purpose, this paper relies on commented results from a study in oncology.
authors.affiliation: Département de santé publique, Institut Gustave-Roussy, rue Camille-Desmoulins, 94805 Villejuif Cedex.
authors.forename: A
authors.initials: A
authors.lastname: Laplanche
authors.forename: C
authors.initials: C
authors.lastname: Mahé
mesh_terms: D000704:Analysis of Variance; D006801:Humans; D011379:Prognosis; D016016:Proportional Hazards Models; D012044:Regression Analysis; D015203:Reproducibility of Results; D012737:Sex Factors; D016019:Survival Analysis