Methodological advancements in epidemiology, biostatistics, and data science have
strengthened the research world's ability to use data captured from electronic health records …

Objective Informative presence (IP) is the phenomenon whereby the presence or absence of
patient data is potentially informative with respect to their health condition, with informative …

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Survival analysis, the analysis of failure time data, is a rapid developing area and a number
of books on the topic have been published in last twenty-five years. However, all of these …

Longitudinal studies often incur several problems that challenge standard statistical
methods for data analysis. These problems include non-ignorable missing data in …

Panel count data occur in studies that concern recurrent events, or event history studies,
when study subjects are observed only at discrete time points. By recurrent events, we mean …

Electronic health records (EHRs) offer unprecedented opportunities to answer
epidemiologic questions. However, unlike in ordinary cohort studies or randomized trials …

In longitudinal observational studies, repeated measures are often taken at informative
observation times. Also, there may exist a dependent terminal event such as death that stops …

In analysis of longitudinal data, it is often assumed that observation times are predetermined
and are the same across study subjects. Such an assumption, however, is often violated in …

It has been increasingly common to analyze simultaneously repeated measures and time to
failure data. In this paper we propose a joint model when the repeated measures are semi …