Dynamic predictions using flexible joint models of longitudinal and time‐to‐event data
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DOI: 10.1002/sim.7209
Abstract: Joint models for longitudinal and time‐to‐event data are particularly relevant to many clinical studies where longitudinal biomarkers could be highly associated with a time‐to‐event outcome. A cutting‐edge research direction in this area is dynamic predictions… read more here.
Keywords: medicine; longitudinal time; dynamic predictions; time event ... See more keywords
Sizing clinical trials when comparing bivariate time-to-event outcomes.
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DOI: 10.1002/sim.7225
Abstract: Clinical trials with multiple primary time-to-event outcomes are common. Use of multiple endpoints creates challenges in the evaluation of power and the calculation of sample size during trial design particularly for time-to-event outcomes. We present… read more here.
Keywords: time event; clinical trials; event; bivariate ... See more keywords
Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint.
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DOI: 10.1002/sim.8456
Abstract: The recent 21st Century Cures Act propagates innovations to accelerate the discovery, development, and delivery of 21st century cures. It includes the broader application of Bayesian statistics and the use of evidence from clinical expertise.… read more here.
Keywords: historical data; trial; time event; leveraging historical ... See more keywords
Raking and regression calibration: Methods to address bias from correlated covariate and time-to-event error.
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DOI: 10.1002/sim.8793
Abstract: Medical studies that depend on electronic health records (EHR) data are often subject to measurement error, as the data are not collected to support research questions under study. These data errors, if not accounted for… read more here.
Keywords: methodology; regression; error; time ... See more keywords
A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time‐to‐event endpoints
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DOI: 10.1002/sim.9327
Abstract: Adaptive enrichment designs in clinical trials have been developed to enhance drug developments. They permit, at interim analyses during the trial, to select the sub‐populations that benefits the most from the treatment. Because of this… read more here.
Keywords: estimation; time event; selection; estimator ... See more keywords
Deep learning for the dynamic prediction of multivariate longitudinal and survival data
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DOI: 10.1002/sim.9392
Abstract: The joint model for longitudinal and survival data improves time‐to‐event predictions by including longitudinal outcome variables in addition to baseline covariates. However, in practice, joint models may be limited by parametric assumptions in both the… read more here.
Keywords: survival data; time event; longitudinal survival; survival ... See more keywords
Partially linear Bayesian modeling of longitudinal rank and time‐to‐event data using accelerated failure time model with application to brain tumor data
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DOI: 10.1002/sim.9735
Abstract: Joint modeling of longitudinal rank and time‐to‐event data with random effects model using a Bayesian approach is presented. Accelerated failure time (AFT) models can be used for the analysis of time‐to‐event data to estimate the… read more here.
Keywords: time event; time; event data; longitudinal rank ... See more keywords
On selecting the critical boundary functions in group-sequential trials with two time-to-event outcomes.
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DOI: 10.1016/j.cct.2020.106244
Abstract: We investigate selection of critical boundary functions for testing the hypotheses of two time-to-event outcomes as both primary endpoints or a primary and a secondary endpoint in group-sequential clinical trials, where (1) the effect sizes… read more here.
Keywords: two time; time event; group sequential; critical boundary ... See more keywords
Guidelines for time-to-event end-point definitions in adjuvant randomised trials for patients with localised colon cancer: Results of the DATECAN initiative.
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DOI: 10.1016/j.ejca.2020.02.009
Abstract: BACKGROUND The variability of definitions for time-to-event (TTE) end-points impacts the conclusions of randomised clinical trials (RCTs). The Definition for the Assessment of Time-to-event Endpoints in CANcer (DATECAN) initiative aims to provide consensus definitions for… read more here.
Keywords: end points; end; time event; cancer ... See more keywords
GRADE guidelines: 29. Rating the certainty in time-to-event outcomes - Study limitations due to censoring of participants with missing data in intervention studies.
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DOI: 10.1016/j.jclinepi.2020.09.017
Abstract: OBJECTIVE To provide Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) guidance for the consideration of study limitations (risk of bias) due to missing participant outcome data for time-to-event outcomes in intervention studies. STUDY DESIGN… read more here.
Keywords: event outcomes; study limitations; time; time event ... See more keywords
Methodological review showed that time-to-event outcomes are often inadequately handled in cluster randomized trials.
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DOI: 10.1016/j.jclinepi.2021.02.004
Abstract: OBJECTIVES To estimate the prevalence of time-to-event (TTE) outcomes in cluster randomized trials (CRTs) and to examine their statistical management. STUDY DESIGN AND SETTING We searched PubMed to identify primary reports of CRTs published in… read more here.
Keywords: analysis; cluster randomized; time event; tte ... See more keywords