Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker [PDF]
BMC Medical Research Methodology, 2021 Background Risk prediction models for time-to-event outcomes play a vital role in personalized decision-making. A patient’s biomarker values, such as medical lab results, are often measured over time but traditional prediction models ignore their ...
Kaci L Pickett +4 more
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Instrumental variable estimation for a time-varying treatment and a time-to-event outcome via structural nested cumulative failure time models [PDF]
BMC Medical Research Methodology, 2021 Background In many applications of instrumental variable (IV) methods, the treatments of interest are intrinsically time-varying and outcomes of interest are failure time outcomes.
Joy Shi +5 more
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Summary measures in non-inferiority clinical trials with a time-to-event outcome: an empirical comparison of power [PDF]
BMC Medical Research MethodologyBackground Time-to-event data is commonly used in non-inferiority clinical trials. While the hazard ratio is a popular summary measure in this context, the difference in restricted mean survival time has been theoretically shown to increase power and ...
S. D. Lana Broer +5 more
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A simulation study comparing the power of nine tests of the treatment effect in randomized controlled trials with a time-to-event outcome [PDF]
Trials, 2020 Background The logrank test is routinely applied to design and analyse randomized controlled trials (RCTs) with time-to-event outcomes. Sample size and power calculations assume the treatment effect follows proportional hazards (PH). If the PH assumption
Patrick Royston, Mahesh K. B. Parmar
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Mediation analysis with a time-to-event outcome: a review of use and reporting in healthcare research [PDF]
BMC Medical Research Methodology, 2018 Background Mediation analysis tests whether the relationship between two variables is explained by a third intermediate variable. We sought to describe the usage and reporting of mediation analysis with time-to-event outcomes in published healthcare ...
Lauren Lapointe-Shaw +8 more
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Group sequential design for time-to-event outcome with non-proportional hazards using the concept of relative time utilizing two different Weibull distributions [PDF]
Contemporary Clinical Trials CommunicationsA group sequential design allows investigators to sequentially monitor efficacy and safety as part of interim testing in phase III trials. Literature is well developed in the case of continuous and binary outcomes, however, in case of trials with a time ...
Milind A. Phadnis +2 more
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Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework [PDF]
BMC Medical Research Methodology, 2019 Background Choosing the most performing method in terms of outcome prediction or variables selection is a recurring problem in prognosis studies, leading to many publications on methods comparison. But some aspects have received little attention.
Simon Bussy +7 more
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Assessing accuracy of Weibull shape parameter estimate from historical studies for subsequent sample size calculation in clinical trials with time-to-event outcome [PDF]
Contemporary Clinical Trials Communications, 2020 Background: Recent developments in literature on sample size calculations for time-to-event outcomes involve assumption of Weibull distributed times. These methods require a point estimate of the Weibull shape parameter obtained from historical studies ...
Milind A. Phadnis +3 more
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Performance of joint modelling of time-to-event data with time-dependent predictors: an assessment based on transition to psychosis data [PDF]
PeerJ, 2016 Joint modelling has emerged to be a potential tool to analyse data with a time-to-event outcome and longitudinal measurements collected over a series of time points.
Hok Pan Yuen, Andrew Mackinnon
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Which test for crossing survival curves? A user’s guideline
BMC Medical Research Methodology, 2022 Background The exchange of knowledge between statisticians developing new methodology and clinicians, reviewers or authors applying them is fundamental. This is specifically true for clinical trials with time-to-event endpoints.
Ina Dormuth +5 more
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