We introduce a class of covariate-adjusted skewed functional models (cSFM) designed for functional data exhibiting location-dependent marginal distributions. We propose a semi-parametric copula model for the pointwise marginal distributions, which are allowed to depend on covariates, and the functional dependence, which is assumed covariate invariant. The proposed cSFM framework provides a unif...

Abstract Background Statistical methods for modeling longitudinal and time-to-event data has received much attention in medical research is becoming increasingly useful. In clinical studies, such as cancer AIDS, biomarkers are used to monitor disease progression predict survival. These measures often missing at failure times may be prone measurement errors. More importantly, time-dependent surv...

Practical estimation procedures for local linear estimation of an unrestricted failure rate when more information is available than just time are developed. This extra information could be a covariate and this covariate could be a time series. Time dependent covariates are sometimes called markers, and failure rates are sometimes called hazards, intensities or mortalities. It is shown through s...

Given a predictive marker and a time-to-event response variable, the proportion of concordant pairs in a data set is called concordance index. A specifically useful marker is the risk predicted by a survival regression model. This article extends the existing methodology for applications where the length of the follow-up period depends on the predictor variables. A class of inverse probability ...

Comparison of survival for patients treated with either post remission chemotherapy or allogeneic bone marrow transplantation (BMT) for leukemias is considered. Two designs for the comparison are considered. The rst is a genetic randomized clinical trial. For this type of trial, comparisons can be made either by an intent-to-treat analysis or by a time dependent covariate model. The second desi...

BACKGROUND AND PURPOSE Diabetes increases stroke risk, but whether diabetes status immediately before stroke improves prediction and whether duration is important are less clear. We hypothesized that diabetes duration independently predicts ischemic stroke. METHODS Among 3298 stroke-free participants in the Northern Manhattan Study, baseline diabetes and age at diagnosis were determined. Inci...