Video-on-Demand Library


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26 February 2021

The journey from invention to patients is a long one... this video outlines the stages of clinical trials.

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26 February 2021

The Role of a Statistician, with Head of the Careers and Academic Liaison Committee, Amanda Darekar.

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26 February 2021

A welcome introduction from the PSI Chair, Lucy Rowell

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26 February 2021

New Starter Presentation – Pharmaceutical Company, presented by Benjamin Webb & Megan Winter.

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26 February 2021

New Starter Presentation – Contract Research Organisation (CRO), presented by Alice McFarlane.

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26 February 2021

New Starter Presentation – Clinical Trial Unit (CTU), presented by Kalpita Joshi.

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10 February 2021

Alexander Schacht presents graphical solutions on displaying quality of life data. Beside the total DLQI score the single items and subscores are of interest. The usage of colors is key to many visualisations. Irene de la Torre Arenas explained how to choose colors taking color blindness into consideration.

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Alexander Schacht presents graphical solutions on displaying quality of life data. Beside the total DLQI score the single items and subscores are of interest. The usage of colors is key to many visualisations. Irene de la Torre Arenas explained how to choose colors taking color blindness into consideration.  

A comprehensive overview of the total DLQI, its subscores and the single items was given in a slope graph nicely showing the shift between the categories over time. How applying visualisation principles can improve a graph significantly was shown with a simple histogram. Another useful display was the dot plot. Depending on the aim of the plot a heat map might be useful. For the statistically interested user an interactive chart gave a lot of detailed information combining plots in table format with a dendogram.

The new challenge will address the issue of missing data. How to display incomplete data and make missing data patterns visible.

Wonderful Wednesdays are brought to you by the Visualisation SIG. The Wonderful Wednesday team includes: Bodo Kirsch, Alexander Schacht, Mark Baillie, Daniel Saure, Zachary Skrivanek, Lorenz Uhlmann, Rachel Phillips, Markus Vogler, David Carr, Steve Mallett, Abi Williams, Julia Igel, Gakava Lovemore, Katie Murphy, Rhys Warham, Sara Zari, Irene de la Torre Arenas

13 January 2021

Bodo Kirsch presents ways to explain the possible impact of risk factors on a binary outcome with means of graphical displays and tools. Very different approaches have been sent in to solve the challenge of last month.

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Bodo Kirsch presents ways to explain the possible impact of risk factors on a binary outcome with means of graphical displays and tools. Very different approaches have been sent in to solve the challenge of last month.

To get an overview of the data histograms and box and whisker plots are helpful. And as multiplots grouped by outcome the can give first hints on dependencies, but may be misleading. Different aspects of the dependency structure can be visualised with a heatmap correlation plot or a log-odds plot. A very nice idea was a probability plot including the individual data points as well as the predictive value within its confidence interval. The classification tree was presented as a very powerful display to visualise the impact of the predictors. Next was a nomogram for manual use followed by its interactive counterpart including interactions. Last but not least a presentation-ready break-down plot for a logistic regression model was shown as an example suitable for “non-technical” audience, too. The new challenge was introduced and will be about visualisation of a multidimensional quality of life outcome.

Wonderful Wednesdays are brought to you by the Visualisation SIG. The Wonderful Wednesday team includes: Bodo Kirsch, Alexander Schacht, Mark Baillie, Daniel Saure, Zachary Skrivanek, Lorenz Uhlmann, Rachel Phillips, Markus Vogler, David Carr, Steve Mallett, Abi Williams, Julia Igel, Gakava Lovemore.

12 January 2021

Bringing estimands to life through a real case study. A year on after the final ICH E9 estimands addendum was published, we bring estimands to life from a real example from protocol to press release. Members of the estimands Implementation Working Group (EIWG) will describe the background and study objectives, intercurrent events of interest and chosen estimands in the PIONEER study.

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Melanie Wright, Sue McKendrick, Nanco Hefting, Rikke Mette Agesen, Helle Lynggaard.

Bringing estimands to life through a real case study. A year on after the final ICH E9 estimands addendum was published, we bring estimands to life from a real example from protocol to press release. Members of the estimands Implementation Working Group (EIWG) will describe the background and study objectives, intercurrent events of interest and chosen estimands in the PIONEER study.
Who is this event intended for? Anyone working in clinical trials: Clinician, Regulator, Investigator, Academic, Ethics Committee, Statistician.
What is the benefit of attending? Understand how to describe clinical objectives using the estimands framework, recognising the benefits of this approach.

10 December 2020

Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years.

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Dr. Scott Patterson

Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, are discussed.

09 December 2020

Mark Baillie presents examples for visualisations of heterogeneity in a meta-analysis combining data of seven studies. The objective of the studies was to show reduction in hypertension. Additional interest was in prognostic or predictive factors.

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Mark Baillie presents examples for visualisations of heterogeneity in a meta-analysis combining data of seven studies. The objective of the studies was to show reduction in hypertension. Additional interest was in prognostic or predictive factors.

The first three visualisations were interactive apps. A forest plot with bands displayed the overlaps of the confidence intervals. The Subgroup Explorer enabled the comparison of different outcomes across all baseline factors and studies side by side or as bubble plot. A multistep meta-analysis app included a prognostic model and displayed the interaction within all combinations of studies allowing for interactive selection of studies and predictors.

Examples for static plots were different kinds of multiplots. Two were combining joyplots either of the baseline factors plotting all studies or of the studies plotting the treatment groups. The scatter plot at the end finale revealed the secret in the data.

The new challenge was introduced and will be about visualisation of a prediction model for a binary outcome.

Wonderful Wednesdays are brought to you by the Visualisation SIG. The Wonderful Wednesday team includes: Bodo Kirsch, Alexander Schacht, Mark Baillie, Daniel Saure, Zachary Skrivanek, Lorenz Uhlmann, Rachel Phillips, Markus Vogler, David Carr, Steve Mallett, Abi Williams, Julia Igel.

08 December 2020

In this PSI webinar, representatives from different pharmaceutical companies will present innovative approaches that address the challenges of developing pediatric medicines.

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Andrew Thomson (EMA), Ros Walley (UCB), Aurelie Gautier (Novartis) , Juan Abellan (GSK), and Robert Nelson (Johnson & Johnson).
In this PSI webinar, representatives from different pharmaceutical companies will present innovative approaches that address the challenges of developing pediatric medicines.
Children are considered a vulnerable population. Correspondingly, developing drugs for pediatrics is associated with a range of challenges including but not limited to ethical and methodological challenges. This includes the use of historical data, Bayesian methodology, and partial and full extrapolation approaches. The presentations are followed by a discussion of the topic from a clinical perspective and Q&A.
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