Analyse multidimentionnelle de durées de vie

我的方法学研究兴趣是多变量生存分析。它包括对重复事件的分析和对相关时间-事件变量的分析。在循环事件分析中，我的兴趣集中在依赖审查。在这些条件下，我们正在开发建模相关的审查和估计平均函数的方法。研究了多态模型和IPCW估计。在相关时间事件变量的分析中，我的研究兴趣集中在推导拟合优度程序来检验半参数模型的充分性（Copula， Cox模型，…）等)来评估不完整的数据集。通常，对于每个不完整数据的方案都需要特定的过程。此类数据的示例包括双变量截尾数据和受相关截尾影响的数据。其他感兴趣的点包括具有不完整数据的两个时间到事件变量之间关联的非参数度量和图形- copula估计器的应用

My methodological research interests are in multivariate survival analysis. It consists on the analysis of recurrent events and the analysis of correlated time-to-event variables.In recurrent events analysis, my interest focus on dependent censoring. We are developing methodologies for modelling dependent censoring and estimating the mean function under these conditions. Multistates models and IPCW estimators are investigated.In the analysis of correlated time-to-event variables, my research interest focus on deriving goodness-of-fit procedures to test the adequacy of semiparametric models (Copula, Cox model, ...etc) to assess incomplete data sets. Typically, specific procedures are required for each scheme of incomplete data. Examples of such data include bivariate censored data and data subject to dependent truncation.Other points of interest include nonparametric measure of association between two time-to-events variables with incomplete data and the applications of the Graphic-Copula estimators