Joint Modeling of Repeated Measurements of Different Biomarkers ...

Joint models for the analysis of repeated measurements of PCT, suPAR, and IL-6 are a useful method for predicting mortality in COVID-19 ...

Predicting disease severity is important for treatment decisions in patients with COVID-19 in the intensive care unit (ICU). Different biomarkers have been ...

Joint Modeling of Repeated Measurements of Different Biomarkers ...

Conclusion: Joint models for the analysis of repeated measurements of PCT, suPAR, and IL-6 are a useful method for predicting mortality in COVID ...

Joint Modeling of Repeated Measurements of Different Biomarkers ...

Joint Modeling of Repeated Measurements of Different Biomarkers Predicts Mortality in COVID-19 Patients in the Intensive Care Unit. SAGE ...

Joint Modeling of Repeated Measurements of Different Biomarkers ...

Dive into the research topics of 'Joint Modeling of Repeated Measurements of Different Biomarkers Predicts Mortality in COVID-19 Patients in the Intensive Care ...

Joint Modeling of Repeated Measurements of Different Biomarkers ...

Conclusion Joint models for the analysis of repeated measurements of PCT, suPAR and IL-6 are a useful method for predicting mortality in COVID-19 patients in ...

A joint-modeling approach to assess the impact of biomarker ...

... repeated measures of biomarkers (longitudinal data). One primary goal is to see the prognostic effect of a biomarker on survival outcome.

Modeling biomarker variability in joint analysis of longitudinal and ...

... other measurements made ... J. (. 2005. ). Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time.

Joint modelling of longitudinal processes and time-to-event ...

... repeated measurements of biomarkers. From the studies, 22 (78 ... and Van den Berge suggested that for other heart failure populations repeated ...

Modelling the association between biomarkers and clinical outcome ...

... different biomarkers in the joint model. A special case of ... Joint modeling of repeated multivariate cognitive measures and ...

Application of multivariate joint modeling of longitudinal biomarkers ...

... analysis of multiple outcomes (either different outcomes or repeated measures) in a single fitted model. A model may be neither, one, or ...

Personalized screening intervals for biomarkers using joint models ...

This work combines information theory measures with optimal design concepts for the posterior predictive distribution of the survival process given the ...

Joint Modeling of Longitudinal Markers and Time-to-Event Outcomes

The joint model for longitudinal and time-to-event data is an attractive method to analyze data in follow-up studies with repeated measurements.

Personalized screening intervals for biomarkers using joint models ...

... joint models with respect to predicting future events after different follow-up times. ... biomarker measurements. Contrary to standard ...

Joint Models of Longitudinal and Time-to-Event Data for mHealth ...

... analysis of the treatment effect on event risk, he discusses how joint models enter into various stages of the intervention development ...

Comparison of Joint and Landmark Modeling for Predicting Cancer ...

... measured repeatedly over time (ie, longitudinal biomarkers). In ... repeated measures of posttreatment PSA: a joint modeling approach.

1 Introduction - arXiv

In clinical research, joint models for longitudinal and survival data have become a popular framework for studying biomarkers measured over time ...

Using joint modelling to assess the association between a time ...

... biomarker measurements for that subject. The random fluctuation of the ... The different components of the joint model (i.e. the parameters of the ...

A fast approximate EM algorithm for joint models of survival and ...

Many scientific investigations, such as clinical trials, involve the repeated measurement ... For example, numerous biomarker measurements in a randomized drug ...

Joint modelling of time-to-event and multivariate longitudinal outcomes

Each patient had 3 separate biomarker measurements repeatedly ... A joint model for repeated events of different types and multiple ...