Clustered/Grouped Count DataOften cluster/grouped count data exhibit extra zeros and over-dispersion. To account for these features, Poisson and negative binomial mixed effects models with an extra zero-inflation part are used. These models entail a logistic regression model for the extra zeros, and a Poisson or negative binomial model ... [Read more...]

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A new, development version, of package JMbayes has been rolled-out on the dedicated GitHub repo. The major addition in this version is a set of new functions that can fit multivariate joint models for multiple longitudinal outcomes and a time-to-event. As with other GitHub packages, it can be easily installed ... [Read more...]

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I will be teaching a course on statistical regression models for repeated measurements data, and I thought of creating a shiny app to let students run the code used in the course and examine the output in real time.The app is still in development mode ... [Read more...]

I will be teaching a course on statistical regression models for repeated measurements data, and I thought of creating a shiny app to let students run the code used in the course and examine the output in real time.The app is still in development mode ... [Read more...]

Packages JM and JMbayes @ JSM2015This year JSM features an interesting invited session about fitting joint models in different software packages -- if you're interested drop by... Here are my slides in which I give a short intro in packages JM and JMba... [Read more...]

Packages JM and JMbayes @ JSM2015This year JSM features an interesting invited session about fitting joint models in different software packages -- if you're interested drop by... Here are my slides in which I give a short intro in packages JM and JMba... [Read more...]

Extending the Standard Joint Model In a previous post we have briefly introduced the framework of joint models for longitudinal and time-to-event data, and we have shown how models of this type can be fitted in R using package JMbayes. In that post we ... [Read more...]

What are joint models for longitudinal and survival data? In this post we will introduce in layman's terms the framework of joint models for longitudinal and time-to-event data. These models are applied in settings where the sample units are followed-up in time, for example, we may be interest in patients ... [Read more...]