An introduction to event history analysis via multi-state models is given. Examples include
the two-state model for survival analysis, the competing risks and illness-death models, and …

Estimation of the effective reproductive number R t is important for detecting changes in
disease transmission over time. During the Coronavirus Disease 2019 (COVID-19) …

Here is an accessible, up-to-date guide to event history analysis for researchers and
advanced students in the social sciences. The foundational principles of event history …

Nonparametric function estimation with stochastic data, otherwise known as smoothing, has
been studied by several generations of statisticians. Assisted by the recent availability of …

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In epidemiology incidence denotes the rate of occurrence of new cases (of disease), while
prevalence is the frequency in the population (of diseased people). From a statistical point of …

Backcalculations is an important method for reconstructing past rates of human
immunodeficiency virus (HIV) infection and for estimating current prevalence of HIV infection …

In this paper we discuss some properties of the reversed hazard rate function. This function
has been shown to be useful in the analysis of data in the presence of left censored …

In many follow-up studies survival data are often observed according to a cross-sectional
sampling scheme. Data of this type are subject to left truncation in addition to the usual right …

AIDS has appeared in more than 130 countries, and over 100,000 cases of AIDS have been
reported in the US alone. More and more, the public will be depending on statisticians to …