Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis)) Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche)) Click here to view the slides
Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis)) Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche)) Click here to view the slides
Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis)) Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche)) Click here to view the slides
Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis)) Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche)) Click here to view the slides
Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis)) Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche)) Click here to view the slides
Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis)) Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche)) Click here to view the slides
Date: Ongoing 6 month cycle beginning late April/early May 2024
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Training Course: Mixed Models and Repeated Measures
This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
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.
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 is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.