title: [Jackknife and bootstrap].
abstract: The jackknife and the bootstrap are two non parametric methods which provide estimates- of the bias and the variance of an estimator, without any assumption about its statistical distribution. The jackknife is based on the observation of the estimator for subsamples, generally of size n-1, obtained from the original sample. The bootstrap is based on the observation of the estimator on size n samples drawn from the original sample. The two methods are presented, their principle is illustrated through their application to simple examples and to more complex epidemiological problems.
authors.affiliation: INSERM U169 16, Villejuif.
authors.forename: M
authors.initials: M
authors.lastname: Chavance
mesh_terms: D015982:Bias; D015588:Observer Variation; D012494:Sampling Studies
vernacular_title: Le canif et les bretelles.