Konietschke, Frank

[["dc.bibliographiccitation.artnumber","e31242"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Libiger, Ondrej"],["dc.contributor.author","Hothorn, Ludwig A."],["dc.date.accessioned","2018-11-07T09:13:21Z"],["dc.date.available","2018-11-07T09:13:21Z"],["dc.date.issued","2012"],["dc.description.abstract","Statistical association between a single nucleotide polymorphism (SNP) genotype and a quantitative trait in genome-wide association studies is usually assessed using a linear regression model, or, in the case of non-normally distributed trait values, using the Kruskal-Wallis test. While linear regression models assume an additive mode of inheritance via equi-distant genotype scores, Kruskal-Wallis test merely tests global differences in trait values associated with the three genotype groups. Both approaches thus exhibit suboptimal power when the underlying inheritance mode is dominant or recessive. Furthermore, these tests do not perform well in the common situations when only a few trait values are available in a rare genotype category (disbalance), or when the values associated with the three genotype categories exhibit unequal variance (variance heterogeneity). We propose a maximum test based on Marcus-type multiple contrast test for relative effect sizes. This test allows model-specific testing of either dominant, additive or recessive mode of inheritance, and it is robust against variance heterogeneity. We show how to obtain mode-specific simultaneous confidence intervals for the relative effect sizes to aid in interpreting the biological relevance of the results. Further, we discuss the use of a related all-pairwise comparisons contrast test with range preserving confidence intervals as an alternative to Kruskal-Wallis heterogeneity test. We applied the proposed maximum test to the Bogalusa Heart Study dataset, and gained a remarkable increase in the power to detect association, particularly for rare genotypes. Our simulation study also demonstrated that the proposed non-parametric tests control family-wise error rate in the presence of non-normality and variance heterogeneity contrary to the standard parametric approaches. We provide a publicly available R library nparcomp that can be used to estimate simultaneous confidence intervals or compatible multiplicity-adjusted p-values associated with the proposed maximum test."],["dc.description.sponsorship","DFG [Br 655/16-1, HO-1687/9]"],["dc.identifier.doi","10.1371/journal.pone.0031242"],["dc.identifier.isi","000302873700038"],["dc.identifier.pmid","22363593"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7880"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27154"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Public Library Science"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","Nonparametric Evaluation of Quantitative Traits in Population-Based Association Studies when the Genetic Model is Unknown"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","327"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Leukemia Research"],["dc.bibliographiccitation.lastpage","332"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Hartmann, Julia"],["dc.contributor.author","Braulke, Friederike"],["dc.contributor.author","Sinzig, Ursula"],["dc.contributor.author","Wulf, Gerald"],["dc.contributor.author","Maas, Jens Holger"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Haase, Detlef"],["dc.date.accessioned","2018-11-07T09:27:53Z"],["dc.date.available","2018-11-07T09:27:53Z"],["dc.date.issued","2013"],["dc.description.abstract","In patients with myelodysplastic syndromes (MDS) iron overload caused by long-term red blood cell transfusions is an important factor for comorbidity especially in low-risk MDS. In this report we present the results of a comparative study based on colony formation assays of hematopoietic cells in MDS patients with and without iron overload. We demonstrate that iron overload suppresses the proliferation of erythroid progenitors cells (BFU-E), while the myeloid compartment (CFU-GM) was not found to be affected. Even patients with slightly elevated ferritin values show an impaired proliferation capacity in comparison to patients with normal ferritin levels. Furthermore, we show that this negative impact is reversible by sufficient iron chelation therapy. (C) 2012 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.leukres.2012.11.005"],["dc.identifier.isi","000314871500018"],["dc.identifier.pmid","23259989"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11341"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30643"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Pergamon-elsevier Science Ltd"],["dc.relation.issn","0145-2126"],["dc.rights","CC BY-NC-ND 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/3.0"],["dc.title","Iron overload impairs proliferation of erythroid progenitors cells (BFU-E) from patients with myelodysplastic syndromes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Journal of Statistical Software"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Noguchi, Kimihiro"],["dc.contributor.author","Gel, Yulia R."],["dc.contributor.author","Brunner, Edgar"],["dc.contributor.author","Konietschke, Frank"],["dc.date.accessioned","2019-07-10T08:14:06Z"],["dc.date.available","2019-07-10T08:14:06Z"],["dc.date.issued","2012-09"],["dc.description.abstract","Longitudinal data from factorial experiments frequently arise in various elds of study, ranging from medicine and biology to public policy and sociology. In most practical situations, the distribution of observed data is unknown and there may exist a number of atypical measurements and outliers. Hence, use of parametric and semiparametric procedures that impose restrictive distributional assumptions on observed longitudinal samples becomes questionable. This, in turn, has led to a substantial demand for statistical procedures that enable us to accurately and reliably analyze longitudinal measurements in factorial experiments with minimal conditions on available data, and robust nonparametric methodology o ering such a possibility becomes of particular practical importance. In this article, we introduce a new R package nparLD which provides statisticians and researchers from other disciplines an easy and user-friendly access to the most up-todate robust rank-based methods for the analysis of longitudinal data in factorial settings. We illustrate the implemented procedures by case studies from dentistry, biology, and medicine."],["dc.format.extent","23"],["dc.identifier.fs","592126"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9492"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61433"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1548-7660"],["dc.relation.orgunit","Universitätsmedizin Göttingen"],["dc.rights","CC BY 3.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/3.0"],["dc.subject.ddc","610"],["dc.title","nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","International Statistical Review"],["dc.contributor.affiliation","Konietschke, Frank; 2\r\nInstitute of Biometry and Clinical Epidemiology\r\nCharité\r\nBerlin Germany"],["dc.contributor.affiliation","Bathke, Arne C.; 3\r\nIntelligent Data Analytics (IDA) Lab\r\nSalzburg Austria"],["dc.contributor.affiliation","Pauly, Markus; 4\r\nFaculty of Statistics\r\nTU Dortmund University\r\nDortmund Germany"],["dc.contributor.author","Brunner, Edgar"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Bathke, Arne C."],["dc.contributor.author","Pauly, Markus"],["dc.date.accessioned","2021-04-14T08:31:29Z"],["dc.date.available","2021-04-14T08:31:29Z"],["dc.date.issued","2020"],["dc.date.updated","2022-02-09T13:21:26Z"],["dc.description.abstract","Summary Rank‐based inference methods are applied in various disciplines, typically when procedures relying on standard normal theory are not justifiable. Various specific rank‐based methods have been developed for two and more samples and also for general factorial designs (e.g. Kruskal–Wallis test or Akritas–Arnold–Brunner test). It is the aim of the present paper (1) to demonstrate that traditional rank procedures for several samples or general factorial designs may lead to surprising results in case of unequal sample sizes as compared with equal sample sizes, (2) to explain why this is the case and (3) to provide a way to overcome these disadvantages. Theoretical investigations show that the surprising results can be explained by considering the non‐centralities of the test statistics, which may be non‐zero for the usual rank‐based procedures in case of unequal sample sizes, while they may be equal to 0 in case of equal sample sizes. A simple solution is to consider unweighted relative effects instead of weighted relative effects. The former effects are estimated by means of the so‐called pseudo‐ranks, while the usual ranks naturally lead to the latter effects. A real data example illustrates the practical meaning of the theoretical discussions."],["dc.description.sponsorship","Fonds zur Förderung der wissenschaftlichen Forschung http://dx.doi.org/10.13039/501100002428"],["dc.description.sponsorship","I 2697‐N31"],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659"],["dc.identifier.doi","10.1111/insr.12418"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83611"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1751-5823"],["dc.relation.issn","0306-7734"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes."],["dc.title","Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","251"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Osteoporosis International"],["dc.bibliographiccitation.lastpage","261"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Tezval, Mohammed"],["dc.contributor.author","Stuermer, Ewa Klara"],["dc.contributor.author","Sehmisch, Stefan"],["dc.contributor.author","Rack, Thomas"],["dc.contributor.author","Stary, A."],["dc.contributor.author","Stebener, M."],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Stuermer, Klaus-Michael"],["dc.date.accessioned","2018-11-07T08:46:31Z"],["dc.date.available","2018-11-07T08:46:31Z"],["dc.date.issued","2010"],["dc.description.abstract","We have examined the changes induced in the trochanteric region of femur of ovariectomized rat after administration of estradiol and p.arathyroid hormone. We have developed a reproducible biomechanical test and produced trochanteric fractures to evaluate stiffness and strength of this region in addition to histomorphometry. We investigated the short-term effects of parathyroid hormone (PTH) and estrogen (E) on the strength of the rat trochanteric region in a new mechanical test. Forty-four 3-month-old female Sprague-Dawley rats were ovariectomized and 8 weeks later treated with soy-free diet (C), daily applications of orally supplied E (0.5 mg/kg food) or subcutaneously injected PTH (0.014 mg/kg), for 5 weeks, and an additional untreated group was added as sham-operated. The femurs were examined for biomechanical and histomorphometric changes. Our new mechanical test was validated in a right-left comparison. The PTH treatment induced significantly superior biomechanical results (F (max) = 225.3 N, stiffness = 314.9 N/mm) compared to E (F (max) = 182.9 N, stiffness = 237.2 N/mm), C (F (max) = 166.03 N, stiffness = 235.56 N/mm), and sham (F (max) = 192.1 N, stiffness = 267.2 N/mm). Animals of the PTH group demonstrated a significantly improved trabecular bone structure and area (75.67%) in comparison to the E (61.04%) and C (57.18%) groups. Our new biomechanical test is valid and produces trochanteric fracture. Our results show that the short-term antiosteoporotic effects of PTH are in the trochanteric region of ovariectomized rat superior to E."],["dc.identifier.doi","10.1007/s00198-009-0941-y"],["dc.identifier.isi","000273327000006"],["dc.identifier.pmid","19436940"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?goescholar/4023"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/20712"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.publisher.place","London"],["dc.relation.issn","0937-941X"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Improvement of trochanteric bone quality in an osteoporosis model after short-term treatment with parathyroid hormone: a new mechanical test for trochanteric region of rat femur"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1358"],["dc.bibliographiccitation.journal","Electronic Journal of Statistics"],["dc.bibliographiccitation.lastpage","1372"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Pauly, Markus"],["dc.date.accessioned","2018-11-07T09:15:06Z"],["dc.date.available","2018-11-07T09:15:06Z"],["dc.date.issued","2012"],["dc.description.abstract","We consider nonparametric ranking methods for matched pairs, whose distributions can have different shapes even under the null hypothesis of no treatment effect. Although the data may not be exchangeable under the null, we investigate a permutation approach as a valid procedure for finite sample sizes. In particular, we derive the limit of the studentized permutation distribution under alternatives, which can be used for the construction of (1 - alpha)-confidence intervals. Simulation studies show that the new approach is more accurate than its competitors. The procedures are illustrated using a real data set."],["dc.description.sponsorship","German Research Foundation [DFG-Br 655/16-1, HO 1687/9-1]"],["dc.identifier.doi","10.1214/12-EJS714"],["dc.identifier.isi","000306921000001"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9503"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27594"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Inst Mathematical Statistics"],["dc.relation.issn","1935-7524"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","A studentized permutation test for the nonparametric Behrens-Fisher problem in paired data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","738"],["dc.bibliographiccitation.journal","Electronic Journal of Statistics"],["dc.bibliographiccitation.lastpage","759"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Hothorn, Ludwig A."],["dc.date.accessioned","2018-11-07T09:15:04Z"],["dc.date.available","2018-11-07T09:15:04Z"],["dc.date.issued","2012"],["dc.description.abstract","We study simultaneous rank procedures for unbalanced designs with independent observations. The hypotheses are formulated in terms of purely nonparametric treatment effects. In this context, we derive rank-based multiple contrast test procedures and simultaneous confidence intervals which take the correlation between the test statistics into account. Hereby, the individual test decisions and the simultaneous confidence intervals are compatible. This means, whenever an individual hypothesis has been rejected by the multiple contrast test, the corresponding simultaneous confidence interval does not include the null, i.e. the hypothetical value of no treatment effect. The procedures allow for testing arbitrary purely nonparametric multiple linear hypotheses(e.g. many-to-one, all-pairs, changepoint, or even average comparisons). We do not assume homogeneous variances of the data; in particular, the distributions can have different shapes even under the null hypothesis. Thus, a solution to the multiple nonparametric Behrens-Fisher problem is presented in this unified framework."],["dc.description.sponsorship","German Research Foundation [DFG-Br 655/16-1, HO 1687/9-1]"],["dc.identifier.doi","10.1214/12-EJS691"],["dc.identifier.isi","000306915200001"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9504"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27587"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Inst Mathematical Statistics"],["dc.relation.issn","1935-7524"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","Rank-based multiple test procedures and simultaneous confidence intervals"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","313"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Lasers in Medical Science"],["dc.bibliographiccitation.lastpage","320"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Sennhenn-Kirchner, Sabine"],["dc.contributor.author","Schwarz, Peter"],["dc.contributor.author","Schliephake, Henning"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Brunner, Edgar"],["dc.contributor.author","Borg-von Zepelin, Margarete"],["dc.date.accessioned","2018-06-25T07:08:41Z"],["dc.date.available","2018-06-25T07:08:41Z"],["dc.date.issued","2009"],["dc.description.abstract","The different forms of superficial and systemic candidiasis are often associated with biofilm formation on surfaces of host tissues or medical devices. The biofilm formation of Candida spp., in general, necessitates significantly increased amounts of antifungal agents for therapy. Often the therapeutic effect is doubtful. A 5-day biofilm model with oral Candida isolates was established according to Chandra et al. (J Dent Res 80:903-908, 2001) on glass and titanium surfaces and was modified by Sennhenn-Kirchner et al. (Z Zahnärztl Implantol 3:45-51, 2007) to investigate different aspects unanswered in the field of dentistry. In this model, the efficacy of erbium:yttrium-aluminium-garnet (Er:YAG) light (2940 nm, 100 mJ, 10 Hz, 300 micros pulsed mode applied for 80 s) and diode laser light (810 nm, 1 W, continuous wave mode applied for 20 s with four repetitions after 30 s pauses each) was evaluated and compared to untreated controls. The photometric evaluation of the samples was completed by observations on morphological changes of yeast cells grown in the biofilm. Compared to the untreated controls Candida cells grown in mature in vitro biofilms were significantly reduced by both wavelengths investigated. Comparison between the different methods of laser treatment additionally revealed a significantly greater effect of the Er:YAG over the diode laser. Scanning electron microscopy findings proved that the diode laser light was effective in direct contact mode. In contrast, in the areas without direct contact, the fungal cells were left almost unchanged. The Er:YAG laser damaged the fungal cells to a great extent wherever it was applied."],["dc.identifier.doi","10.1007/s10103-008-0561-3"],["dc.identifier.pmid","18458992"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?goescholar/3106"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15129"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1435-604X"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Decontamination efficacy of erbium:yttrium–aluminium–garnet and diode laser light on oral Candida albicans isolates of a 5-day in vitro biofilm model"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Musculoskeletal Disorders"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Gilbert, F."],["dc.contributor.author","Eden, L."],["dc.contributor.author","Meffert, R."],["dc.contributor.author","Konietschke, F."],["dc.contributor.author","Lotz, J."],["dc.contributor.author","Bauer, L."],["dc.contributor.author","Staab, W."],["dc.date.accessioned","2020-12-10T18:38:55Z"],["dc.date.available","2020-12-10T18:38:55Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1186/s12891-018-2016-8"],["dc.identifier.eissn","1471-2474"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15490"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77479"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/15138 but duplicate"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)."],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Intra- and interobserver reliability of glenoid fracture classifications by Ideberg, Euler and AO"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","43"],["dc.bibliographiccitation.journal","BMC Medical Research Methodology"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Zapf, Antonia"],["dc.contributor.author","Brunner, Edgar"],["dc.contributor.author","Konietschke, Frank"],["dc.date.accessioned","2018-11-07T09:57:49Z"],["dc.date.available","2018-11-07T09:57:49Z"],["dc.date.issued","2015"],["dc.description.abstract","Background: In early diagnostic trials, particularly in biomarker studies, the aim is often to select diagnostic tests among several methods. In case of metric, discrete, or even ordered categorical data, the area under the receiver operating characteristic (ROC) curve (denoted by AUC) is an appropriate overall accuracy measure for the selection, because the AUC is independent of cut-off points. Methods: For selection of biomarkers the individual AUC's are compared with a pre-defined threshold. To keep the overall coverage probability or the multiple type-I error rate, simultaneous confidence intervals and multiple contrast tests are considered. We propose a purely nonparametric approach for the estimation of the AUC's with the corresponding confidence intervals and statistical tests. This approach uses the correlation among the statistics to account for multiplicity. For small sample sizes, a Wild-Bootstrap approach is presented. It is shown that the corresponding intervals and tests are asymptotically exact. Results: Extensive simulation studies indicate that the derived Wild-Bootstrap approach keeps and exploits the nominal type-I error at best, even for high accuracies and in case of small samples sizes. The strength of the correlation, the type of covariance structure, a skewed distribution, and also a moderate imbalanced case-control ratio do not have any impact on the behavior of the approach. A real data set illustrates the application of the proposed methods. Conclusion: We recommend the new Wild Bootstrap approach for the selection of biomarkers in early diagnostic trials, especially for high accuracies and small samples sizes."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1186/s12874-015-0025-y"],["dc.identifier.isi","000354085400001"],["dc.identifier.pmid","25925052"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13454"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37244"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1471-2288"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A Wild Bootstrap approach for the selection of biomarkers in early diagnostic trials"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]