The CAMIS repository went live in January 2023, drawing on the content from the PHUSE CSRMLW project. This searchable repository compares analysis method implementations in software (CAMIS) such as SAS, R and python.
The White Paper was published in June, which highlighted the importance of clearly specifying your analysis, such that it can be replicated in different software, and isn’t relying on default options which can be different.
For more complex analyses, it can still be hard to understand what defaults and algorithms your software is using, so the team focused 2023 on expanding our repo content, comparing SAS vs R methods. By August, we had covered the following topics in the repo: quartiles, rounding, anova, mmrm, cmh, log-rank, cox-ph, mcnemar’s test, kruskal-wallis test and logistic. October saw the launch of the sub-working group: CAMIS-Oncology, led by Somasekhar Sriadibhatla (AstraZeneca). This team will focus specifically on oncology endpoints and analyzing them in SAS, R and Python. The CAMIS team have expanded in membership during 2023 presenting at numerous conferences around the world. In November, we welcomed Harshal Khanolkar (NovoNordisk), to join the leadership team alongside Christina Fillmore (GSK) and Lyn Taylor (PAREXEL). Our focus for 2024, will be on the creation of additional content for the repo, and sharing awareness of the project across the medical research and wider community. We’d like to take this opportunity to thank all of our team members and contributors, and encourage everyone to check out the repository and help us to grow our content CAMIS (psiaims.github.io). If you would like to join the team please get in touch through the repo.
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 webinar will cover the history of cell/gene therapy, major regulatory advances, the role of quantitative scientists in drug development of these novel therapeutics, and discuss opportunities for innovation and product advancement.
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.
