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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Model-free conditional screening for ultrahigh-dimensional survival data via conditional distance correlation
条件距离 相关性 超高维 生存数据 无模型 条件筛选
2023/5/4
How to select the active variables which have significant impact on the event of interest is a very important and meaningful problem in the statistical analysis of ultrahigh-dimensional data. In many ...
Joint models for longitudinal and survival data
joint models longitudinal data survival data bivariate change point models prediction Bayesian method EM algorithm
2015/5/21
Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processe...
Variable selection and structural discovery in joint models of longitudinal and survival data
Joint models Mixed effect selection Structural discovery Adaptive LASSO Gaussian quadrature EM algorithm
2015/5/21
Joint models of longitudinal and survival outcomes have been used with increasing frequency in clinical investigations. Correct specification of fixed and random effects, as well as their functional f...
Modeling left-truncated and right-censored survival data with longitudinal covariates
Likelihood approach semiparametric efficiency biased sample EM algorithm Monte Carlo integration
2012/11/23
There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data. We consider sur...
Dual divergences estimation for censored survival data
Robust estimation Minimum divergence estimators Kaplan-Meier estimator
2011/7/5
This paper is devoted to robust estimation based on dual divergences estimators for parametric models in the framework of right censored data. We give limit laws of the proposed estimators and examine...
Indirect inference for survival data
Estimating equations frailty hazard rate regression indirect inference measurement error naive estimators overdispersion quasi-likelihood random effects robustness
2009/2/23
In this paper we describe the so-called “indirect” method of inference, originally developed from the econometric literature, and apply it to survival analyses of two data sets with repeated events.Th...
Assessing influence in survival data with a cure fraction and covariates
Cure fraction Bayesian inference local influence generalized leverage survival data
2009/2/23
Diagnostic methods have been an important tool in regression analysis to detect anomalies, such as
departures from error assumptions and the presence of outliers and influential observations with the...