Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker
KL Pickett, K Suresh, KR Campbell, S Davis… - BMC medical research …, 2021 - Springer
… updated longitudinal information in survival prediction while … between the longitudinal trajectory
and the survival process. … -to-event outcomes using longitudinal biomarkers. A simulation …
and the survival process. … -to-event outcomes using longitudinal biomarkers. A simulation …
A flexible B-spline model for multiple longitudinal biomarkers and survival
… data, we are interested in a multivariate longitudinal … we propose a joint longitudinal and
survival model that has a … joint survival and longitudinal model in which the longitudinal markers …
survival model that has a … joint survival and longitudinal model in which the longitudinal markers …
Nuclear factor-κB–related serum factors as longitudinal biomarkers of response and survival in advanced oropharyngeal carcinoma
… longitudinal changes in cytokines and survival, we estimated a slope for each cytokine on
every patient by fitting a least-squares regression line to longitudinal … slopes and survival using …
every patient by fitting a least-squares regression line to longitudinal … slopes and survival using …
Longitudinal tumor size and neutrophil‐to‐lymphocyte ratio are prognostic biomarkers for overall survival in patients with advanced non‐small cell lung cancer treated …
S Gavrilov, K Zhudenkov, G Helmlinger… - CPT …, 2021 - Wiley Online Library
… outcomes of the investigated study. This joint modeling approach thus allowed us to make
a quantitative inference from early longitudinal biomarker data to predict survival outcome in …
a quantitative inference from early longitudinal biomarker data to predict survival outcome in …
Dynamic Methods for the Prediction of Survival Outcomes using Longitudinal Biomarkers
K Suresh - 2018 - deepblue.lib.umich.edu
… survival predictions. In this dissertation, we consider dynamic survival models and prediction
… that incorporate the effects of longitudinally collected covariates on time-to-event outcomes. …
… that incorporate the effects of longitudinally collected covariates on time-to-event outcomes. …
Longitudinal course of traumatic brain injury biomarkers for the prediction of clinical outcomes: a review
… longitudinal changes in biomarker concentrations over time and examined these patterns with
regard to patient outcomes … Studies that only explored the relationship between biomarker …
regard to patient outcomes … Studies that only explored the relationship between biomarker …
A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers
… multiple biomarkers with a shared latent reduced rank longitudinal … biomarkers is more
flexible than some existing methods since the latent trajectory shared by the multiple biomarkers …
flexible than some existing methods since the latent trajectory shared by the multiple biomarkers …
[HTML][HTML] Longitudinal analysis of hemostasis biomarkers in cancer patients during antitumor treatment
EM Reitter, A Kaider, C Ay, P Quehenberger… - Journal of Thrombosis …, 2016 - Elsevier
… As there are almost no data on longitudinal changes, we aimed to evaluate those in the
present prospective observational study during chemotherapy and the course of disease. …
present prospective observational study during chemotherapy and the course of disease. …
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome
… In particular, we consider 500 longitudinal biomarkers in the simulation studies and 1000
longitudinal biomarkers in the real data application. In pHDJM we adopt linear mixed-effects …
longitudinal biomarkers in the real data application. In pHDJM we adopt linear mixed-effects …
Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes
… are associated with outcomes (mortality and intubation) into a predictive model. We
hypothesized that longitudinal biomarkers are more suited for predicting outcomes within the next …
hypothesized that longitudinal biomarkers are more suited for predicting outcomes within the next …
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