14 citations · 32 across the 18 of their papers we have counts for
22 papers
A Better Comparison under right-censoring: ABC Statistic for Equivalence Testing and Quantification
Simon Mack, Kathrin Möllenhoff, Dennis Dobler
The ABC (area between curves) statistic is an -distance which targets an easy-to-interpret estimand. Defined as the (normalized) integrated absolute distance between two survi…
Estimating conditional Mann-Whitney effects using pseudo-observation-based regression
Dennis Dobler, Alina Schenk, Matthias Schmid
The Mann-Whitney effect is an effect measure for the order of two sample-specific outcome variables. It has the interpretation of a probability and also a connection to the area un…
A Comprehensive Survey on Legal Summarization: Challenges and Future Directions
Mousumi Akter, Erion Çano, Erik Weber +2
This article provides a systematic up-to-date survey of automatic summarization techniques, datasets, models, and evaluation methods in the legal domain. Through specific source se…
RMST-based multiple contrast tests in general factorial designs
Merle Munko, Marc Ditzhaus, Dennis Dobler +1
Several methods in survival analysis are based on the proportional hazards assumption. However, this assumption is very restrictive and often not justifiable in practice. Therefore…
A two-sample comparison of mean survival times of uncured sub-populations
Dennis Dobler, Eni Musta
Comparing the survival times among two groups is a common problem in time-to-event analysis, for example if one would like to understand whether one medical treatment is superior t…
Is the Gompertz family a good fit to your data?
Dennis Dobler, Bruno Ebner
That data follow a Gompertz distribution is a widely used assumption in diverse fields of applied sciences, e.g., in biology or when analysing survival times. Since misspecified mo…
Factorial survival analysis for treatment effects under dependent censoring
Takeshi Emura, Marc Ditzhaus, Dennis Dobler +1
Factorial analyses offer a powerful nonparametric means to detect main or interaction effects among multiple treatments. For survival outcomes, e.g. from clinical trials, such tech…
A nonparametric relative treatment effect for direct comparisons of censored paired survival outcomes
Dennis Dobler, Kathrin Möllenhoff
A very classical problem in statistics is to test the stochastic superiority of one distribution to another. However, many existing approaches are developed for independent samples…
Inferring median survival differences in general factorial designs via permutation tests
Marc Ditzhaus, Dennis Dobler, Markus Pauly
Factorial survival designs with right-censored observations are commonly inferred by Cox regression and explained by means of hazard ratios. However, in case of non-proportional ha…
Randomized Empirical Processes by Algebraic Groups, and Tests for Weak Null Hypotheses
Dennis Dobler
Randomization tests are based on a re-randomization of existing data to gain data-dependent critical values that lead to exact hypothesis tests under special circumstances. However…
Wild Bootstrap based Confidence Bands for Multiplicative Hazards Models
Dennis Dobler, Markus Pauly, Thomas H. Scheike
We propose new resampling-based approaches to construct asymptotically valid time simultaneous confidence bands for cumulative hazard functions in multi-state Cox models. In partic…
Nonparametric MANOVA in Mann-Whitney effects
Dennis Dobler, Sarah Friedrich, Markus Pauly
Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify main and interaction effects in metric multivariate multi-factor data. It is, ho…
Time-dynamic inference for non-Markov transition probabilities under independent right-censoring
Dennis Dobler, Andrew C. Titman
In this article, weak convergence of the general non-Markov state transition probability estimator by Titman (2015) is established which, up to now, has not been verified yet for o…
A Discontinuity Adjustment for Subdistribution Function Confidence Bands Applied to Right-Censored Competing Risks Data (with Erratum)
Dennis Dobler, Merle Munko
The wild bootstrap is the resampling method of choice in survival analytic applications. Theoretic justifications rely on the assumption of existing intensity functions which is eq…
Bootstrapping the Kaplan-Meier Estimator on the Whole Line
Dennis Dobler
This article is concerned with proving the consistency of Efron's (1981) bootstrap for the Kaplan-Meier estimator on the whole support of a survival function. While other works add…
Inference for the Mann-Whitney Effect for Right-Censored and Tied Data
Dennis Dobler, Markus Pauly
The Mann-Whitney effect is an intuitive measure for discriminating two survival distributions. Here we analyze various inference techniques for this parameter in a two-sample survi…
The Wild Bootstrap for Multivariate Nelson-Aalen Estimators
Tobias Bluhmki, Dennis Dobler, Jan Beyersmann +1
We rigorously extend the widely used wild bootstrap resampling technique to the multivariate Nelson-Aalen estimator under Aalen's multiplicative intensity model. Aalen's model cove…
Non-strange Weird Resampling for Complex Survival Data
Dennis Dobler, Jan Beyersmann, Markus Pauly
This paper introduces the new data-dependent multiplier bootstrap for non-parametric analysis of survival data, possibly subject to competing risks. The new resampling procedure in…
Exponent dependence measures of survival functions and correlated frailty models
Jens Bendel, Dennis Dobler, Arnold Janssen
The present article studies survival analytic aspects of semiparametric copula dependence models with arbitrary univariate marginals. The underlying survival functions admit a repr…
Direct Bootstrapping and Permuting of Observations fail for Aalen-Johansen Estimators
Dennis Dobler
This article provides rigorous proofs that neither Efron's bootstrap nor permutation techniques can be applied directly to the observations to construct consistent resampling tests…
Approximative Tests for the Equality of Two Cumulative Incidence Functions of a Competing Risk
Dennis Dobler, Markus Pauly
In the context of the widely used competing risks set-up we discuss different inference procedures for testing equality of two cumulative incidence functions, where the data may be…
How to Bootstrap Aalen-Johansen Processes for Competing Risks? Handicaps, Solutions and Limitations
Dennis Dobler, Markus Pauly
Statistical inference in competing risks models is often based on the famous Aalen-Johansen estimator. Since the corresponding limit process lacks independent increments, it is typ…