Analysis of non-ignorable missing and left-censored longitudinal data using a weighted random effects tobit model.

Analysis of Non-ignorable Missing and Left-censored Longitudinal Biomarker Data

Marginal Analysis of A Population-Based Genetic Association Study of Quantitative Traits with Incomplete Longitudinal Data

A common study to investigate gene-environment interaction is designed to be longitudinal and population-based. Data arising from longitudinal association studies often contain missing responses. Naive analysis without taking missingness into account may produce invalid inference, especially when the missing data mechanism depends on the response process. To address this issue in the ana...

Prediction of Random Effects in Linear Mixed Models under Stochastic Censoring

Mixed model methodology is a tool of choice for analyzing correlated data in a large domain of disciplines and areas of application. Censored data are not rare in practice and they may cause serious defects in the estimation of parameters when not properly accounted for in the statistical analysis. A frequent phenomenon, which generates censored data, lies in the existence of limits of detectio...

A transition model for quality-of-life data with non-ignorable non-monotone missing data.

In this paper, we consider a full likelihood method to analyze continuous longitudinal responses with non-ignorable non-monotone missing data. We consider a transition probability model for the missingness mechanism. A first-order Markov dependence structure is assumed for both the missingness mechanism and observed data. This process fits the natural data structure in the longitudinal framewor...

A Non-Random Dropout Model for Analyzing Longitudinal Skew-Normal Response

In this paper, multivariate skew-normal distribution is em- ployed for analyzing an outcome based dropout model for repeated mea- surements with non-random dropout in skew regression data sets. A probit regression is considered as the conditional probability of an ob- servation to be missing given outcomes. A simulation study of using the proposed methodology and comparing it with a semi-parame...