Articles by Dimitris Rizopoulos

Zero-Inflated Poisson and Negative Binomial Models with GLMMadaptive

August 27, 2018 | 0 Comments

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...]

Mixed Models with Adaptive Gaussian Quadrature

June 14, 2018 | 0 Comments

OverviewIn this post, I would like to introduce my new R package GLMMadaptive for fitting mixed-effects models for non-Gaussian grouped/clustered outcomes using marginal maximum likelihood.Admittedly, there is a number of packages available for fitting...
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Dynamic Predictions using Joint Models

March 4, 2016 | 0 Comments

What are Dynamic PredictionsIn this post we will explain the concept of dynamic predictions and illustrate how these can be computed using the framework of joint models for longitudinal and survival data, and the R package JMbayes. The type of dynamic ...
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Dynamic Predictions using Joint Models

March 4, 2016 | 0 Comments

What are Dynamic PredictionsIn this post we will explain the concept of dynamic predictions and illustrate how these can be computed using the framework of joint models for longitudinal and survival data, and the R package JMbayes. The type of dynamic predictions we will discuss here are calculated in follow-up ...
[Read more...]

Two Presentations about Joint Models

August 9, 2015 | 0 Comments

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...]

Two Presentations about Joint Models

August 9, 2015 | 0 Comments

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...]

Joint Models with Categorical Longitudinal Outcomes

December 17, 2014 | 0 Comments

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...]

Joint Models for Longitudinal and Survival Data

September 25, 2014 | 0 Comments

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...]

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