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Turning Fantasy into Reality: Creating Custom Data Visualisations for Future Reporting

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James Diserens presented his popular presentation which won best in stream at PhUSE 2018 on Data Visualisations. Recent experience indicates that there is a gap between exploratory analysis using products such as R-shiny and Spotfire with html outputs, and SAS rtf outputs for reporting packages. Are the plots that we are producing restricted by standards and expectations, or by an unwillingness to change from what has been done before? Could we be producing outputs that are more useful and appropriate for analysing the data?

In addition, with the improvements in SAS ODS graphics from SAS 9.4, is there scope for future reporting packages to use further data visualisations for study overview?

James looked at examples of figures suggested by experienced statisticians that could provide useful data visualisation in a reporting package.

 

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The Generation Game – the X, Y and Z of Managing Clinical Data Scientists

 

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Webinar The Generation Game

The media would have us believe that younger generations are more challenging to manage. Certainly, it is likely that a line manager will be managing individuals from 2 or 3 different generations, each of which come with their own experiences and influences. However, one would expect to adapt one’s management style to the individual irrespective of date of birth.

In this webinar Programming Manager, Diana Stuart strives to answer the question, what should we be doing to be effective line managers for all generations?

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Completing the CDISC compliance jigsaw – how to ensure your studies are submission-ready

In the current environment of evolving CDISC standards, increasing regulatory scrutiny and more and more outsourcing (often to multiple vendors), how can you know whether your next NDA submission, or even studies that may one day feed into a submission, will pass the test?

This webinar, which took place live in May 2018, reaches beyond Pinnacle 21 and focuses on the key points you need to know to achieve CDISC submission compliance.

If you would prefer to live-stream you can visit out YouTube channel here

Completing the CDISC compliance jigsaw - ensuring your studies are submission-ready

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61.40 MB

What does it take to become a statistical programmer in the pharmaceutical industry?

In this short webinar Sean Miles discussed his experience starting in the pharmaceutical industry as a SAS programmer.He covered his journey from a graduate, talking about the processes he used, his expectations and reality of the industry.

What does it take to become a statistical programmer in the pharmaceutical industry?

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145.80 MB

High Achieving Individuals Versus High Achieving Teams, the importance of social capital in developing successful teams

Managing Team Performance is key in all industries.

And if you have made the effort to recruit the best programmers the industry has to offer, you may be asking yourself why your selected team is not performing as well as expected.

This webinar, which took place live in June, is aimed at teams and those who lead teams, who seek cohesion, collaboration, efficiency, innovation and success.

High Achieving Individuals Versus High Achieving Teams Webinar

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64.05 MB

Graduate Statistician Webinar

Experience of a Graduate Statistician in the pharmaceutical industry

Statistician Thomas Brown presents his experience as a Graduate Statistician in the Pharmaceutical industry.

Webinar Content:

Tom gives us some insight on his background and how he became a statistician.

He delves into the day to day tasks he carries out as a statistician at Veramed, and examines the differences between the role of the statistician and the statistical programmer.

Tom received some thought-provoking questions throughout the session, which we have outlined below along with Tom’s answers. If you have any further questions about becoming a statistician in the pharmaceutical industry, please don’t hesitate to email info@veramed.co.uk

Graduate Statistician Webinar Recording

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80 Mb

Is a PhD needed to progress as a Principal Statistician?

Undertaking a PhD is a pursuit for statisticians who have a desire to enhance their technical and theoretical knowledge within a specific field. The skills developed in such a degree have value for statisticians who want to pursue more technical activities in their career. However, what is more critical in regard to career progression are your own abilities and how you apply them in a pharmaceutical environment. I know many statisticians at the principal level and above without a PhD and what got them there was not their degree but their own competency in the workplace environment.

What is the best way to learn about the industry to impress at an interview?

One of the single most valuable things one can do at an interview when making the leap into the pharmaceutical industry is to learn as much as they can about the company they are interviewing for. Understanding how the organisation fits in with the wider pharmaceutical industry and the company’s own goals and pursuits is a great start. Additionally, showing a drive and true passion for clinical trials and pharmaceutical development will always make a fantastic impression on interviewers.

Could you describe the career progression process working in the pharmaceutical industry?

There are many different routes for career progression in the pharmaceutical industry and you have the ability to direct your career in the way you want to based on your own interests. While most statisticians typically join assisting on clinical trial design and analysis, as you gain more experience you may follow a more technical route in trial design or get further involved in the day to day study activities and eventually lead the biometric aspects for such studies. Additionally, more project management and programming roles are available to statisticians who show a genuine interest in these fields.

What are the most complex procedures on SAS you have used as a programmer?

While I have done some complex modelling using PROC MI and PROC MIXED, it can be argued that the more complex procedures in SAS involve how you design your program. Developing a flexible program that works in multiple scenarios and is efficient is perhaps one of the most challenging but rewarding aspects in program development.

The statistical programmers that I am working with in my company do not have a statistical background. Is that different in your company?

It is not necessary for a statistical programmer to have a statistical background. Inevitably a programmer will gain a knowledge and awareness of statistical concepts as they gain experience but the most valuable skills as a programmer can come from having a logical and systematic mind-set.

What is your favourite therapeutic area?

I have worked in the industry for 6 months and given this, only been involved in a single therapeutic area. The statistical methods you apply in studies are highly dependent on the therapeutic area you are working on. I have been mostly involved in phase II studies and can say with a great deal of confidence that they have been incredibly enjoyable to work on. Trying to resolve all the uncertainty around a compound in early development has given myself a strong sense of purpose working as a Veramed Statistician.

Are the roles of statisticians and statistical programmers are so clearly distinct?

The two roles of statistician and statistical programmer are typically quite separate, however, at some companies and in some scenarios, there may be an amount of overlap between these roles. This is particularly applicable when statisticians pursue interests in the programming aspects of a study they are involved in.

Find out more about our Graduate Training Programme

Good Programming Practice Webinar

Programming Manager Diana Stuart presented the second Veramed webinar in December with a presentation on ‘Good Programming Practice’

Webinar Content:

In October and November Veramed released a series of extracts from Diana Stuart’s Good Programming Practice guide, which is available to download here.

In this webinar Diana presents the key parts of this guide and explains the importance of having a programming practice guide.

Good Programming Practice Webinar

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20.26 MB

Veramed’s first webinar: Statistical input into improving data quality

Senior Statistician Nick Cowans kicked off the free Veramed webinar series in July with a presentation on ‘Statistical Input into Improving Data Quality’

Webinar Content:

Large, global late phase studies often involve huge amounts of data of varying quality. Data frequently needs cleaning up prior to locking the database, a responsibility typically lying with data management.

The ability to look at multiple extracts of data while the study is ongoing and blinded has enabled us to develop novel methods for increasing the confidence in data quality.

Statistical input into improving data quality

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151.04 MB