Geraldine Rauch – författare

Digitization offers great potential – especially in medicine. Cross-domain and cross-institutional linkage, big data, artificial intelligence and robotics can all help to improve research and care, but they also pose new challenges to all those involved.This book presents the joint proceedings of the GMDS (German Medical Data Sciences) and TMF (its Technology, Methodology and Infrastructure platform), held entirely online from 26 – 30 September 2021 as a result of restrictions due to the Coronavirus pandemic. This joint event addresses the opportunities and risks of using new information technologies in medicine, as well as the resulting requirements for data protection, data security and ethics. Methodological challenges associated with the preparation, evaluation and interpretation of data volumes which constantly increase in type and scope in the course of digitization are also examined in detail.The 25 papers included here are divided into 5 sections: editorials; artificial intelligence and clinical decision support systems (CDSS); data integration and interoperability; human computer interaction; and software systems and frameworks, and the topics covered are very diverse, ranging from disease detection using retinal imaging, through data management and sharing, to interactive web applications. Providing an overview of regional research and developments in the field, the book will be of interest to all those working in health technology and medical informatics; researchers and practitioners alike.

This book addresses the most important aspects of how to plan and evaluate clinical trials with a composite primary endpoint to guarantee a clinically meaningful and valid interpretation of the results. Composite endpoints are often used as primary efficacy variables for clinical trials, particularly in the fields of oncology and cardiology. These endpoints combine several variables of interest within a single composite measure, and as a result, all variables that are of major clinical relevance can be considered in the primary analysis without the need to adjust for multiplicity. Moreover, composite endpoints are intended to increase the size of the expected effects thus making clinical trials more powerful. The book offers practical advice for statisticians and medical experts involved in the planning and analysis of clinical trials. For readers who are mainly interested in the application of the methods, all the approaches are illustrated with real-world clinical trial examples, and the software codes required for fast and easy implementation are provided. The book also discusses all the methods in the context of relevant guidelines related to the topic. To benefit most from the book, readers should be familiar with the principles of clinical trials and basic statistical methods.

This book addresses the most important aspects of how to plan and evaluate clinical trials with a composite primary endpoint to guarantee a clinically meaningful and valid interpretation of the results. Composite endpoints are often used as primary efficacy variables for clinical trials, particularly in the fields of oncology and cardiology. These endpoints combine several variables of interest within a single composite measure, and as a result, all variables that are of major clinical relevance can be considered in the primary analysis without the need to adjust for multiplicity. Moreover, composite endpoints are intended to increase the size of the expected effects thus making clinical trials more powerful. The book offers practical advice for statisticians and medical experts involved in the planning and analysis of clinical trials. For readers who are mainly interested in the application of the methods, all the approaches are illustrated with real-world clinical trial examples, and the software codes required for fast and easy implementation are provided. The book also discusses all the methods in the context of relevant guidelines related to the topic. To benefit most from the book, readers should be familiar with the principles of clinical trials and basic statistical methods.

Wenn auch Sie Ihre kleinen Problemchen mit medizinischer Statistik haben, sind Sie hier genau richtig. Mit viel Witz bringen Ihnen die Autoren Geraldine Rauch, Konrad Neumann, Ulrike Grittner, Carolin Herrmann und Jochen Kruppa die Prinzipien der Biostatistik näher. In diesem Buch lernen Sie alles, was Sie benötigen, um Statistik im medizinischen Bereich erfolgreich einzusetzen. Angefangen bei der Begriffskunde und den Grundlagen, erfahren Sie alles von Studientypen über deskriptive Verfahren, Verteilungen, Schätzungen oder Korrelation und Regression bis hin zur Ereigniszeitanalyse, diagnostischen Tests und multiplem Testen. Die Autoren bringen Ihnen das theoretisch vermittelte Wissen mit vielen anschaulichen Beispielen näher. So schaffen Sie die nächste Klausur mit Links!

Alle Beiträge wurden für den Preis des besten universitären Lehrmaterials im Fach Biometrie 2013 eingereicht, welcher von der Arbeitsgruppe "Lehre und Didaktik der Biometrie" der Deutschen Region der Internationalen Biometrischen Gesellschaft (IBS-DR) ausgeschrieben wurde.

Wie schon in "Zeig mir Biostatistik!" werden wieder viele Ideen für einzelne Übungen, Unterrichtseinheiten, Prüfungen oder ganze Kurse vorgestellt. Alle benötigten Materialien sind für den Nutzer online frei verfügbar, um dem Leser die Anwendung zu vereinfachen.Die Herausgeber unterrichten Biometrie als Haupt- oder Nebenfach an verschiedenen Universitäten bzw. Hochschulen und im Rahmen unterschiedlicher Studiengänge, u.a. dem Studiengang Humanmedizin. Daraus entstand das gemeinsame Ziel, den Austausch von Ideen und ausgereiftem Unterrichtsmaterial zu fördern. Alle Beiträge dieses Buches wurden für den Preis für das beste Lehrmaterial im Fach Biometrie 2016 eingereicht, der von der Arbeitsgruppe Lehre und Didaktik der Biometrie der Deutschen Region der Internationalen Biometrischen Gesellschaft ausgeschrieben wurde. So entstand ein breiter Querschnitt an Beiträgen für eine lebendige Lehre der Biostatistik.