Time: 14:00- 15:00 UK time
Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
This webinar is free to attend.
Registration is now closed.
This course is aimed at clinical trial statisticians who are new to or with limited experience of machine learning. Attendees will learn about a range of topics in machine learning, including practical sessions in R.
This webinar will explore two different approaches to Correlates of Protection in vaccine development.
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 event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
We have exciting new opportunities available for Study Statisticians, Support Statisticians and Exploratory Statisticians at various levels.
