In clinical and epidemiological studies, when the time-to-event (s) and the longitudinal
outcomes are associated, modelling them separately may give biased estimates. A joint …

Semiparametric mixed-effects models (SMM) have received increasing attention in recent
years because of the greater flexibility in analysing longitudinal trajectories. However, the …

This article extends the semiparametric mixed model for longitudinal censored data with
Gaussian errors by considering the Student's tt‐distribution. This model allows us to …

随着艾滋病在世界各国的流行, 波及的地域越来越广, 人群更多, 流行模式更为复杂,
对艾滋病疫情估计和预测的方法也需要不断改进与完善. 已有的疫情估计中的数理统计模型和 …

Human immunodeficiency virus (HIV) dynamics have been the focus of epidemiological and
biostatistical research during the past decades to understand the progression of acquired …

Purpose In this paper, we propose a robust Bayesian method for the assessment of average
bioequivalence based on data from conventional crossover studies. We evaluate and …

Health data are often not symmetric to be adequately modeled through the usual normal
distributions; most of them exhibit skewed patterns. They can indeed be modeled better …

A mixed-effects ordinary differential equation (ODE) model is proposed to describe complex
dynamical systems. In order to make the inference of ODE parameters robust against the …

On the basis of an interesting and tractable parametric family of distributions, which figures
prominently as an empirical model for asymmetric and heavy-tailed data, we introduce a …

In this thesis, we propose novel Bayesian Nonparametric hypothesis testing procedures for
correlated data. First, we develop and study a proposal for comparing the distributions of …