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Open AccessJournal ArticleDOI

Robust Design and Analysis of Clinical Trials With Nonproportional Hazards: A Straw Man Guidance From a Cross-Pharma Working Group

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TLDR
In this article, a log-rank test was used to evaluate the risk of nonproportional hazard in a clinical trial where NPH is a possibility and loss of power and clear description of treatment differences are key issues in designing and analyzing clinical trials.
Abstract
Loss of power and clear description of treatment differences are key issues in designing and analyzing a clinical trial where nonproportional hazard (NPH) is a possibility. A log-rank test may be i...

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Citations
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Journal ArticleDOI

K-sample omnibus non-proportional hazards tests based on right-censored data:

TL;DR: In this paper, the authors present novel and powerful tests for comparing non-proportional hazard functions, based on sample-space partitions, with right censoring, which makes the exis...
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Non-proportional hazards in immuno-oncology: is an old perspective needed?

TL;DR: A fundamental concept in two-arm non-parametric survival analysis is the comparison of observed versus expected numbers of events on one of the treatment arms (the choice of which arm is arbitrary), where the expectation is taken assuming that the true survival curves in the two arms are identical.
Journal ArticleDOI

Assessing Treatment Benefit in Immuno-oncology

TL;DR: Adaptations to tumor response and progression criteria for immune therapies are reviewed, and generalized pairwise comparisons offer much promise in the field of immuno-oncology, both to detect late emerging treatment effects and as a general approach to personalize treatment choices through a benefit/risk approach.
References
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Book ChapterDOI

Nonparametric Estimation from Incomplete Observations

TL;DR: In this article, the product-limit (PL) estimator was proposed to estimate the proportion of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).
Book ChapterDOI

Regression Models and Life-Tables

TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
Book

Modeling Survival Data: Extending the Cox Model

TL;DR: A Cox Model-based approach was used to estimate the Survival and Hazard Functions and the results confirmed the need for further investigation into the role of natural disasters in shaping survival rates.
Journal ArticleDOI

Proportional hazards tests and diagnostics based on weighted residuals

TL;DR: In this article, Chen et al. showed that a treatment effect that decreases with time can be directly visualized by smoothing an appropriate residual plot, which can be expressed as a weighted least-squares line fitted to the residual plot.
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