Nonparametric combination tests for comparing two survival curves with informative and non-informative censoring

Arboretti, Rosa; Fontana, Roberto; Pesarin, Fortunato; Salmaso, Luigi

doi:10.1177/0962280217710836

Cited by 9 publications

(5 citation statements)

References 60 publications

(102 reference statements)

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“…By construction, this test is exact if (Y1,…,YN) are exchangeable. 25–27 Below we prove that both, the permutation Z N - and ZN,inv- tests are also asymptotically valid in our general setting. Note, that the current approach has a major advantage over other resampling tests, for example, that are based upon permuting centred or standardised observations or residuals 28–30 : It maintains the finite sample exactness under exchangeability while being asymptotically correct in general.…”

Section: Permutation Testsmentioning

confidence: 67%

Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models

Pauly

Smaga

2020

Stat Methods Med Res

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Coefficients of variations are unit-free measures that can, for example, be used to compare the variability of different samples. To this end, we study inference methods for them as well as their reciprocal given by standardised means in general heterogeneous one-way ANOVA designs. As no specific model assumptions are made, a permutation method is proposed to guarantee good finite sample performance. Building on recent limit theorems for randomisation techniques, we prove that the permutation procedure is asymptotically correct in general and finitely exact when data is exchangeable. These results are fostered in extensive simulation studies and two illustrative data analyses.

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Section: Permutation Testsmentioning

confidence: 67%

Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models

Pauly

Smaga

2020

Stat Methods Med Res

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“…27 Following this line, other options might be investigated to address the non-proportionality issue, as applying the same test at multiple time-points, and using a non-parametric combination (NPC) approach to obtain a single output statistic and p value. 28…”

Section: Discussionmentioning

confidence: 99%

A permutation test based on the restricted mean survival time for comparison of net survival distributions in non-proportional excess hazard settings

Wolski

Grafféo

Giorgi

2019

Stat Methods Med Res

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Net survival is used in epidemiological studies to assess excess mortality due to a given disease when causes of death are unreliable. By correcting for the general population mortality, it allows comparisons between regions or periods and thus evaluation of health policies. The Pohar-Perme non-parametric estimator of net survival has been recently proposed, soon followed by an appropriate log-rank-type test. However, log-rank tests are known to be under-optimal in non-proportional settings (e.g. crossing of the hazard functions). In classical survival analysis, one solution is to compare the restricted mean survival times. A difference in restricted mean survival time represents a life benefit or loss over the studied period. In the present article the restricted mean net survival time was used to derive a specific test statistic to compare net survivals in proportional and non-proportional hazards settings. The new test was generalized to more than two groups and to stratified analysis. The test performance was assessed on simulation study, compared to the log-rank-type test, and its use illustrated on a population-based colorectal cancer registry. The new test for net survival comparisons proved robust to non-proportionality and well-performing in proportional hazards situations. Furthermore, it is also suited to the classical survival framework.

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“…Partial tests are non-parametrically merged through a Conditional Monte Carlo resampling procedure, using the Fisher, Tippett, or Liptak combination functions [ 29 , 30 ]; we cite current applications in the context of medical research for public health protection [ 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 ].…”

Section: Methodsmentioning

confidence: 99%

The Influence of Food Regimes on Oxidative Stress: A Permutation-Based Approach Using the NPC Test

et al. 2023

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(1) Background: This paper aims to assess the existence of significant differences between two dietary regimes (omnivorous vs. semi-vegetarian) with reference to some oxidative stress markers (SOD, GPx, TRxR, GR, AGEs, and AOPPs) using non-parametric combination methodology based on a permutation test. (2) Methods: At the endocrinology unit of Messina University Hospital, two hundred subjects were asked to fill out a questionnaire about their dietary habits. None were under any pharmacological treatment. Using the NPC test, all comparisons were performed stratifying patients according to gender, age (≤40 or >40 years), BMI (normal weight vs. overweight), physical activity (sedentary vs. active lifestyle), TSH, FT4 levels in quartiles, and diagnosis of Hashimoto’s thyroiditis. We evaluated differences in oxidative stress parameters in relation to two examined dietary regimes (omnivorous vs. semi-vegetarian). (3) Results: The antioxidant parameters GPx and TRxR were significantly lower in subjects with an omnivorous diet than in semi-vegetarians, particularly in females, both age groups, subjects with normal weight, those not affected by Hashimoto’s thyroiditis, and both the sedentary and active lifestyle groups. Finally, the AGE and AOPP markers were significantly lower in semi-vegetarians. (4) Conclusion: Thanks to the NPC methodology, we can state that dietary patterns exert a significant influence on some oxidative stress parameters.

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Nonparametric combination tests for comparing two survival curves with informative and non-informative censoring

Cited by 9 publications

References 60 publications

Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models

Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models

A permutation test based on the restricted mean survival time for comparison of net survival distributions in non-proportional excess hazard settings

The Influence of Food Regimes on Oxidative Stress: A Permutation-Based Approach Using the NPC Test

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