771 research outputs found
sj-pdf-1-smm-10.1177_09622802221129051 - Supplemental material for Online control of the False Discovery Rate in group-sequential platform trials
Supplemental material, sj-pdf-1-smm-10.1177_09622802221129051 for Online control of the False Discovery Rate in group-sequential platform trials by Sonja Zehetmayer, Martin Posch and Franz Koenig in Statistical Methods in Medical Research</p
sj-R-2-smm-10.1177_09622802221129051 - Supplemental material for Online control of the False Discovery Rate in group-sequential platform trials
Supplemental material, sj-R-2-smm-10.1177_09622802221129051 for Online control of the False Discovery Rate in group-sequential platform trials by Sonja Zehetmayer, Martin Posch and Franz Koenig in Statistical Methods in Medical Research</p
Supplemental material for Simultaneous inference for multiple marginal generalized estimating equation models
Supplemental Material for Simultaneous inference for multiple marginal generalized estimating equation models by Robin Ristl, Ludwig Hothorn, Christian Ritz and Martin Posch in Statistical Methods in Medical Research</p
Mit Brustkrebs überleben: Ein Buch als Werkzeug gegen die Hilflosigkeit
Jedes Jahr erkranken in Deutschland rund 60.000 Frauen an Brustkrebs. Seit 10 Jahren hilft das „Über-Lebensbuch Brustkrebs“ aus dem Schattauer Verlag Betroffenen, sich aktiv mit der Erkrankung auseinanderzusetzen – indem es fachlich informiert und ebenfalls auf die emotionalen Bedürfnisse der Leserinnen eingeht. Im Rahmen der Leipziger Buchmesse wurde die 5., völlig aktualisierten Auflage in einer Gesprächsrunde mit den Autorinnen präsentiert. Wir haben das 10-jährige Jubiläum und das Erscheinen der Neuauflage zum Anlass genommen, die Autorinnen Ursula Goldmann-Posch und Rita Rosa Martin dazu befragt, wie auch Ärzte von dem Buch profitieren können.</jats:p
SMM913071 Supplemental Material - Supplemental material for Optimized multiple testing procedures for nested sub-populations based on a continuous biomarker
Supplemental material, SMM913071 Supplemental Material for Optimized multiple testing procedures for nested sub-populations based on a continuous biomarker by Alexandra Christine Graf, Dominic Magirr, Alex Dmitrienko and Martin Posch in Statistical Methods in Medical Research</p
NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
Presentation for the Adaptive Designs and Multiple Testing Procedures Workshop 2023 (https://admtp2023.github.io/).
This presentation is based on the work:
"Krotka P., Bofill Roig M., Hees K., Jacko P., Magirr D. (2023). NCC: Simulation and Analysis of Platform Trials with Non-Concurrent Controls. https://pavlakrotka.github.io/NCC/, https://github.com/pavlakrotka/NCC."
"Krotka P., Hees K., Jacko P., Magirr D., Posch M., Bofill Roig M. (2023). NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls. arXiv:2302.12634
Supplementary_figure – Supplemental material for Sufentanil pharmacokinetics in a full-term neonate treated with extracorporeal membrane oxygenation: a case report
Supplemental material, Supplementary_figure for Sufentanil pharmacokinetics in a full-term neonate treated with extracorporeal membrane oxygenation: a case report by Pavla Pokorná, Martin Šíma, Václav Vobruba, Martina Bašková, Lenka Posch and Ondřej Slanař in Perfusion</p
Supplemental material for Robustness of testing procedures for confirmatory subpopulation analyses based on a continuous biomarker
Supplemental Material for Robustness of testing procedures for confirmatory subpopulation analyses based on a continuous biomarker by Alexandra Christine Graf, Gernot Wassmer, Tim Friede, Roland Gerard Gera and Martin Posch in Statistical Methods in Medical Research</p
Explaining Output Volatility: The Case of Taxation
This paper presents empirical evidence against the popular perception that macro volatility is exogenous. We obtain tax effects on macro aggregates in the stochastic neoclassical model. Taxes are shown to affect the second moment of output growth rates without affecting the first moment. Exploiting heterogeneity patterns in a panel of OECD countries, we estimate tax effects on macro volatility, explicitly modeling the unobserved variance process. We find a strong empirical link between taxes and output volatility. Accounting for non-stationarity of taxes and output volatility, we find empirical evidence of a cointegrating relationship.macroeconomic volatility, tax effects, continuous-time DSGE models
Robustness of testing procedures for confirmatory subpopulation analyses based on a continuous biomarker
With the advent of personalized medicine, clinical trials studying treatment effects in subpopulations are receiving increasing attention. The objectives of such studies are, besides demonstrating a treatment effect in the overall population, to identify subpopulations, based on biomarkers, where the treatment has a beneficial effect. Continuous biomarkers are often dichotomized using a threshold to define two subpopulations with low and high biomarker levels. If there is insufficient information on the dependence structure of the outcome on the biomarker, several thresholds may be investigated. The nested structure of such subpopulations is similar to the structure in group sequential trials. Therefore, it has been proposed to use the corresponding critical boundaries to test such nested subpopulations. We show that for biomarkers with a prognostic effect that is not adjusted for in the statistical model, the variability of the outcome may vary across subpopulations which may lead to an inflation of the family-wise type 1 error rate. Using simulations we quantify the potential inflation of testing procedures based on group sequential designs. Furthermore, alternative hypotheses tests that control the family-wise type 1 error rate under minimal assumptions are proposed. The methodological approaches are illustrated by a trial in depression. </jats:p
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