Time: 14:00 - 15:00 UK Time Presenter: Dr Bernd-Wolfgang Igl
Dr Bernd-Wolfgang Igl, Principal Statistician at Bayer, will be presenting on Statistical Analysis of the Comet-Assay.
Dr Bernd-Wolfgang Igl
Statistical Analysis of the Comet assay
Research and Clinical Sciences Statistics, Bayer AG, Berlin, Germany
The single cell gel electrophoresis assay, also known as Comet assay, is a widespread test within genetic toxicology and sensitive to detect chemically induced DNA damages in various tissues. This webinar will start with an introduction to the toxicological background and the test principle itself, including a description of the standard experimental design. Different statistical strategies will then be presented; the focus will be on the in-vivo Comet assay. Finally, the use of median instead of average tail intensities per slide will be described and discussed; this is suggested in the updated OECD Guideline for the Testing of Chemicals No. 489, thus directly affecting the statistical analysis.
Time: 14:00 - 15:00 UK Time Presenter: Dr Bernd-Wolfgang Igl
Dr Bernd-Wolfgang Igl, Principal Statistician at Bayer, will be presenting on Statistical Analysis of the Comet-Assay.
Dr Bernd-Wolfgang Igl
Statistical Analysis of the Comet assay
Research and Clinical Sciences Statistics, Bayer AG, Berlin, Germany
The single cell gel electrophoresis assay, also known as Comet assay, is a widespread test within genetic toxicology and sensitive to detect chemically induced DNA damages in various tissues. This webinar will start with an introduction to the toxicological background and the test principle itself, including a description of the standard experimental design. Different statistical strategies will then be presented; the focus will be on the in-vivo Comet assay. Finally, the use of median instead of average tail intensities per slide will be described and discussed; this is suggested in the updated OECD Guideline for the Testing of Chemicals No. 489, thus directly affecting the statistical analysis.
Time: 14:00 - 15:00 UK Time Presenter: Dr Bernd-Wolfgang Igl
Dr Bernd-Wolfgang Igl, Principal Statistician at Bayer, will be presenting on Statistical Analysis of the Comet-Assay.
Dr Bernd-Wolfgang Igl
Statistical Analysis of the Comet assay
Research and Clinical Sciences Statistics, Bayer AG, Berlin, Germany
The single cell gel electrophoresis assay, also known as Comet assay, is a widespread test within genetic toxicology and sensitive to detect chemically induced DNA damages in various tissues. This webinar will start with an introduction to the toxicological background and the test principle itself, including a description of the standard experimental design. Different statistical strategies will then be presented; the focus will be on the in-vivo Comet assay. Finally, the use of median instead of average tail intensities per slide will be described and discussed; this is suggested in the updated OECD Guideline for the Testing of Chemicals No. 489, thus directly affecting the statistical analysis.
Time: 14:00 - 15:00 UK Time Presenter: Dr Bernd-Wolfgang Igl
Dr Bernd-Wolfgang Igl, Principal Statistician at Bayer, will be presenting on Statistical Analysis of the Comet-Assay.
Dr Bernd-Wolfgang Igl
Statistical Analysis of the Comet assay
Research and Clinical Sciences Statistics, Bayer AG, Berlin, Germany
The single cell gel electrophoresis assay, also known as Comet assay, is a widespread test within genetic toxicology and sensitive to detect chemically induced DNA damages in various tissues. This webinar will start with an introduction to the toxicological background and the test principle itself, including a description of the standard experimental design. Different statistical strategies will then be presented; the focus will be on the in-vivo Comet assay. Finally, the use of median instead of average tail intensities per slide will be described and discussed; this is suggested in the updated OECD Guideline for the Testing of Chemicals No. 489, thus directly affecting the statistical analysis.
Time: 14:00 - 15:00 UK Time Presenter: Dr Bernd-Wolfgang Igl
Dr Bernd-Wolfgang Igl, Principal Statistician at Bayer, will be presenting on Statistical Analysis of the Comet-Assay.
Dr Bernd-Wolfgang Igl
Statistical Analysis of the Comet assay
Research and Clinical Sciences Statistics, Bayer AG, Berlin, Germany
The single cell gel electrophoresis assay, also known as Comet assay, is a widespread test within genetic toxicology and sensitive to detect chemically induced DNA damages in various tissues. This webinar will start with an introduction to the toxicological background and the test principle itself, including a description of the standard experimental design. Different statistical strategies will then be presented; the focus will be on the in-vivo Comet assay. Finally, the use of median instead of average tail intensities per slide will be described and discussed; this is suggested in the updated OECD Guideline for the Testing of Chemicals No. 489, thus directly affecting the statistical analysis.
Time: 14:00 - 15:00 UK Time Presenter: Dr Bernd-Wolfgang Igl
Dr Bernd-Wolfgang Igl, Principal Statistician at Bayer, will be presenting on Statistical Analysis of the Comet-Assay.
Dr Bernd-Wolfgang Igl
Statistical Analysis of the Comet assay
Research and Clinical Sciences Statistics, Bayer AG, Berlin, Germany
The single cell gel electrophoresis assay, also known as Comet assay, is a widespread test within genetic toxicology and sensitive to detect chemically induced DNA damages in various tissues. This webinar will start with an introduction to the toxicological background and the test principle itself, including a description of the standard experimental design. Different statistical strategies will then be presented; the focus will be on the in-vivo Comet assay. Finally, the use of median instead of average tail intensities per slide will be described and discussed; this is suggested in the updated OECD Guideline for the Testing of Chemicals No. 489, thus directly affecting the statistical analysis.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
The field of data visualization is the intersection of data journalism, statistics, graphic design, computer science, neuroscience, and cognitive psychology. We will focus on the latter two fields of data visualization as it relates to data visualization: neuroscience and cognitive psychology.
PSI One-Day Meeting: Missing Data in Clinical Trials - Past, Present and Future
At this meeting we will present the evolution of missing data approaches, looking at how they have been handled in the past, the current established missing data approaches and the impact of the new ICH E9 R1 addendum on the handling of missing data, focussing in particular on the treatment policy estimand.
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. This will be a hands-on interactive course and will utilise the RStudio Cloud development environment.
The format of this event will include Ted Talks by all of our speakers with the opportunity for us to have a discussion together after each of the presentations.
PSI EIWG Webinar: Estimands in Oncology - How and Why
A year on after the final ICH E9 estimands addendum was published, we
bring estimands to life. Members of the Estimands in Oncology special interest group will describe how the estimand framework provides a common language to describe the diversity of patient journeys and why it is important to address the right question in clinical trials.
PSI Training Course: Data Monitoring Committees (DMCs)
This course will cover the essentials of DMC set up (roles and responsibilities, DMC charter, practical considerations), as well as discussing DMC case studies and the role of DMCs in adaptive trials and during the pandemic. In addition, there will be an interactive DMC workshop.
As a statistician in the Biostatistics and Programming Department, you will be responsible for the methodological and statistical aspects of projects in early clinical development in order to optimize the early development plan and ensure its coherence.
As a Director of Statistics, you will be accountable for guiding statisticians in their work, performing senior review of documentation and output deliveries, providing oversight and advising on best practices approach to statistics for clinical trials.
This position provides expert statistical input and project management for statistical activities in relation to clinical trials and statistical activities executed by the Consumer Healthcare division