A Federated Cox Model with Non-Proportional Hazards [PDF]
arXiv.org, 2022 Recent research has shown the potential for neural networks to improve upon classical survival models such as the Cox model, which is widely used in clinical practice. Neural networks, however, typically rely on data that are centrally available, whereas
Dekai Zhang +2 more
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K-sample omnibus non-proportional hazards tests based on right-censored data [PDF]
Statistical Methods in Medical Research, 2020 This work presents novel and powerful tests for comparing non-proportional hazard functions, based on sample–space partitions. Right censoring introduces two major difficulties, which make the existing sample–space partition tests for uncensored data non-
Malka Gorfine, Matan Schlesinger, Li Hsu
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Adaptive Weight Selection for Time-To-Event Data Under Non-Proportional Hazards. [PDF]
Stat MedABSTRACTWhen planning a clinical trial for a time‐to‐event endpoint, we require an estimated effect size and need to consider the type of effect. Usually, an effect of proportional hazards is assumed with the hazard ratio as the corresponding effect measure.
Danzer MF, Dormuth I.
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Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards. [PDF]
Lifetime Data Anal, 2023 The classical approach to analyze time-to-event data, e.g. in clinical trials, is to fit Kaplan–Meier curves yielding the treatment effect as the hazard ratio between treatment groups.
Möllenhoff K, Tresch A.
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Futility monitoring for randomized clinical trials with non-proportional hazards: An optimal conditional power approach. [PDF]
Clin Trials, 2023 Background Standard futility analyses designed for a proportional hazards setting may have serious drawbacks when non-proportional hazards are present. One important type of non-proportional hazards occurs when the treatment effect is delayed.
Wang X, George SL.
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Comparison between asymptotic and re-randomisation tests under non-proportional hazards in a randomised controlled trial using the minimisation method [PDF]
BMC Medical Research MethodologyBackground Pocock-Simon’s minimisation method has been widely used to balance treatment assignments across prognostic factors in randomised controlled trials (RCTs).
Ryusei Kimura +3 more
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Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: Application to a melanoma network. [PDF]
Stat Methods Med Res, 2022 Background Synthesis of clinical effectiveness from multiple trials is a well-established component of decision-making. Time-to-event outcomes are often synthesised using the Cox proportional hazards model assuming a constant hazard ratio over time ...
Freeman SC +5 more
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Gene selection in microarray survival studies under possibly non-proportional hazards [PDF]
Bioinformatics, 2010 AbstractMotivation: Univariate Cox regression (COX) is often used to select genes possibly linked to survival. With non-proportional hazards (NPH), COX could lead to under- or over-estimation of effects.The effect size measure c=P(T1<T0), i.e.
Daniela Dunkler +2 more
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Survival analysis: coping with non proportional hazards in randomized trials [PDF]
Trials, 2011 Almost all trials with a censored time-to-event outcome are designed, powered and analysed with a target hazard ratio for comparing experimental and control treatments in mind. Differences in survival experience between trial arms are tested with a logrank test and usually illustrated using a Kaplan-Meier plot.
Royston Patrick, Parmar Mahesh KB
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On penalized likelihood estimation for a non-proportional hazards regression model. [PDF]
Stat Probab Lett, 2013 In this paper, a semi-parametric generalization of the Cox model that permits crossing hazard curves is described. A theoretical framework for estimation in this model is developed based on penalized likelihood methods. It is shown that the optimal solution to the baseline hazard, baseline cumulative hazard and their ratio are hyperbolic splines with ...
Devarajan K, Ebrahimi N.
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