Search Results - "Ditzhaus, Marc"

Testing marginal homogeneity in Hilbert spaces with applications to stock market returns by Ditzhaus, Marc, Gaigall, Daniel

“…This paper considers a paired data framework and discusses the question of marginal homogeneity of bivariate high-dimensional or functional data. The related…”
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Inferring median survival differences in general factorial designs via permutation tests by Ditzhaus, Marc, Dobler, Dennis, Pauly, Markus

“…Factorial survival designs with right-censored observations are commonly inferred by Cox regression and explained by means of hazard ratios. However, in case…”
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QANOVA: quantile-based permutation methods for general factorial designs by Ditzhaus, Marc, Fried, Roland, Pauly, Markus

“…Population means and standard deviations are the most common estimands to quantify effects in factorial layouts. In fact, most statistical procedures in such…”
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Bootstrap and permutation rank tests for proportional hazards under right censoring by Ditzhaus, Marc, Janssen, Arnold

“…We address the testing problem of proportional hazards in the two-sample survival setting allowing right censoring, i.e., we check whether the famous Cox model…”
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Factorial survival analysis for treatment effects under dependent censoring by Emura, Takeshi, Ditzhaus, Marc, Dobler, Dennis, Murotani, Kenta

“…Factorial analyses offer a powerful nonparametric means to detect main or interaction effects among multiple treatments. For survival outcomes, for example,…”
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Which test for crossing survival curves? A user's guideline by Dormuth, Ina, Liu, Tiantian, Xu, Jin, Yu, Menggang, Pauly, Markus, Ditzhaus, Marc

“…The exchange of knowledge between statisticians developing new methodology and clinicians, reviewers or authors applying them is fundamental. This is…”
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More powerful logrank permutation tests for two-sample survival data by Ditzhaus, Marc, Friedrich, Sarah

“…Weighted logrank tests are a popular tool for analysing right-censored survival data from two independent samples. Each of these tests is optimal against a…”
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Wild bootstrap logrank tests with broader power functions for testing superiority by Ditzhaus, Marc, Pauly, Markus

“…A novel wild bootstrap procedure is introduced for testing superiority in unpaired two-sample survival data. Combining classical weighted logrank tests yields…”
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Studentized permutation method for comparing two restricted mean survival times with small sample from randomized trials by Ditzhaus, Marc, Yu, Menggang, Xu, Jin

“…Recent observations, especially in cancer immunotherapy clinical trials with time‐to‐event outcomes, show that the commonly used proportional hazard assumption…”
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RMST‐based multiple contrast tests in general factorial designs by Munko, Merle, Ditzhaus, Marc, Dobler, Dennis, Genuneit, Jon

“…Several methods in survival analysis are based on the proportional hazards assumption. However, this assumption is very restrictive and often not justifiable…”
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Inference for all variants of the multivariate coefficient of variation in factorial designs by Ditzhaus, Marc, Smaga, Łukasz

“…The multivariate coefficient of variation (MCV) is an attractive and easy‐to‐interpret effect size for the dispersion in multivariate data. Recently, the first…”
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CASANOVA: Permutation inference in factorial survival designs by Ditzhaus, Marc, Genuneit, Jon, Janssen, Arnold, Pauly, Markus

“…We propose inference procedures for general factorial designs with time‐to‐event endpoints. Similar to additive Aalen models, null hypotheses are formulated in…”
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Permutation test for the multivariate coefficient of variation in factorial designs by Ditzhaus, Marc, Smaga, Łukasz

“…New inference methods for the multivariate coefficient of variation and its reciprocal, the standardized mean, are presented. While there are various testing…”
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Variability and stability of the false discovery proportion by Ditzhaus, Marc, Janssen, Arnold

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A consistent goodness-of-fit test for huge dimensional and functional data by Ditzhaus, Marc, Gaigall, Daniel

“…A nonparametric goodness-of-fit test for random variables with values in a separable Hilbert space is investigated. To verify the null hypothesis that the data…”
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Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs by Baumeister, Marléne, Ditzhaus, Marc, Pauly, Markus

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A comparative study to alternatives to the log-rank test by Dormuth, Ina, Liu, Tiantian, Xu, Jin, Pauly, Markus, Ditzhaus, Marc

“…Studies to compare the survival of two or more groups using time-to-event data are of high importance in medical research. The gold standard is the log-rank…”
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Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring by Matabuena, Marcos, Félix, Paulo, Ditzhaus, Marc, Vidal, Juan, Gude, Francisco

“…A frequent problem in statistical science is how to properly handle missing data in matched paired observations. There is a large body of literature coping…”
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A resampling‐based test for two crossing survival curves by Liu, Tiantian, Ditzhaus, Marc, Xu, Jin

“…Summary The area between two survival curves is an intuitive test statistic for the classical two‐sample testing problem. We propose a bootstrap version of it…”
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Detectability of nonparametric signals: higher criticism versus likelihood ratio by Ditzhaus, Marc, Janssen, Arnold

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