Address: Premier Meetings Reading Central, Letcombe Street, Reading, Berkshire, RG1 2HN, United Kingdom
Presented by
Gemma Hodgson (Qi Statistics Ltd)
This basic but wide-ranging course covers techniques for investigating, visualising and performing basic statistical techniques on data sets typical to industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then demonstrated using data examples.
Mathematical details are kept to a necessary minimum and we focus on the interpretation of statistical output and illustrate applications with data from dummy clinical trials or published data. The objective of the course is not to teach you how to become a statistician, but to help you work with statisticians and get the maximum value from statistical output.
The course will consist of lectures, practical examples and discussions. There will not be any computer exercises.
Target Audience:
This is a 1-day course, aimed to introduce statistics to people who work on Clinical Trials, but who are not Statisticians. No previous knowledge of Statistics is assumed as we start right at the beginning with the basics. Many practical examples are given and the emphasis is on application and understanding rather than the equations and the technical background.
The basics of statistics are discussed to give background and a common base to start from and the applications and use of statistics in drug development is then discussed. The role of the statistician and their ability to help with decision making is also discussed.
It also serves as a useful refresher course to those who once studied statistics as part of a college course.
The following key topics will be addressed:
1. Types of Data
2. Measures of location and variability
3. Basic Inference
4. Power calculations and Sample Sizing
5. Design Issues
For more information on specific topics, please contact the presenter direct on gemma@qistatistics.co.uk
Gemma Hodgson has worked in the Pharmaceutical industry for 20 years. After receiving her first degree from Imperial College (Maths with Statistics) and then an MSc in Medical Statistics from London School of Tropical Hygiene and Medicine, Gemma began her career at Pfizer in Sandwich working in experienced global teams on major phase 3 projects. After 13 years at Pfizer and working in all phases of development, from phase 1 to phase 4, Gemma then moved to Takeda R &D in London where she worked on later phase projects, focussing on close liaison with other departments within the organisation. In 2012 Gemma left Takeda to work for a statistical training and consultancy firm, Qi Statistics Ltd, where training of non-statisticians and explaining statistical concepts to non-scientific audiences is key. Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
Course runs from: 09:45 – 17:00 (registration from 9:15)
Registration
Please register online atwww.psiweb.org and click on Events; payment now available online.
Registration costs (includes lunch and refreshments)
Registration before 13th October 2017
£425 plus vat
Registration on or after 13th October 2017
£495 plus vat
Registration is now closed.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements. Please contact us on +44 (0)1730 715 235 or at PSI@mci-group.com for further information.
Scientific Meetings
Statistics Fundamentals for Clinical Trials for Non-Statisticians (or ‘How to speak stats in a day!’)
Address: Premier Meetings Reading Central, Letcombe Street, Reading, Berkshire, RG1 2HN, United Kingdom
Presented by
Gemma Hodgson (Qi Statistics Ltd)
This basic but wide-ranging course covers techniques for investigating, visualising and performing basic statistical techniques on data sets typical to industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then demonstrated using data examples.
Mathematical details are kept to a necessary minimum and we focus on the interpretation of statistical output and illustrate applications with data from dummy clinical trials or published data. The objective of the course is not to teach you how to become a statistician, but to help you work with statisticians and get the maximum value from statistical output.
The course will consist of lectures, practical examples and discussions. There will not be any computer exercises.
Target Audience:
This is a 1-day course, aimed to introduce statistics to people who work on Clinical Trials, but who are not Statisticians. No previous knowledge of Statistics is assumed as we start right at the beginning with the basics. Many practical examples are given and the emphasis is on application and understanding rather than the equations and the technical background.
The basics of statistics are discussed to give background and a common base to start from and the applications and use of statistics in drug development is then discussed. The role of the statistician and their ability to help with decision making is also discussed.
It also serves as a useful refresher course to those who once studied statistics as part of a college course.
The following key topics will be addressed:
1. Types of Data
2. Measures of location and variability
3. Basic Inference
4. Power calculations and Sample Sizing
5. Design Issues
For more information on specific topics, please contact the presenter direct on gemma@qistatistics.co.uk
Gemma Hodgson has worked in the Pharmaceutical industry for 20 years. After receiving her first degree from Imperial College (Maths with Statistics) and then an MSc in Medical Statistics from London School of Tropical Hygiene and Medicine, Gemma began her career at Pfizer in Sandwich working in experienced global teams on major phase 3 projects. After 13 years at Pfizer and working in all phases of development, from phase 1 to phase 4, Gemma then moved to Takeda R &D in London where she worked on later phase projects, focussing on close liaison with other departments within the organisation. In 2012 Gemma left Takeda to work for a statistical training and consultancy firm, Qi Statistics Ltd, where training of non-statisticians and explaining statistical concepts to non-scientific audiences is key. Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
Course runs from: 09:45 – 17:00 (registration from 9:15)
Registration
Please register online atwww.psiweb.org and click on Events; payment now available online.
Registration costs (includes lunch and refreshments)
Registration before 13th October 2017
£425 plus vat
Registration on or after 13th October 2017
£495 plus vat
Registration is now closed.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements. Please contact us on +44 (0)1730 715 235 or at PSI@mci-group.com for further information.
Training Courses
Statistics Fundamentals for Clinical Trials for Non-Statisticians (or ‘How to speak stats in a day!’)
Address: Premier Meetings Reading Central, Letcombe Street, Reading, Berkshire, RG1 2HN, United Kingdom
Presented by
Gemma Hodgson (Qi Statistics Ltd)
This basic but wide-ranging course covers techniques for investigating, visualising and performing basic statistical techniques on data sets typical to industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then demonstrated using data examples.
Mathematical details are kept to a necessary minimum and we focus on the interpretation of statistical output and illustrate applications with data from dummy clinical trials or published data. The objective of the course is not to teach you how to become a statistician, but to help you work with statisticians and get the maximum value from statistical output.
The course will consist of lectures, practical examples and discussions. There will not be any computer exercises.
Target Audience:
This is a 1-day course, aimed to introduce statistics to people who work on Clinical Trials, but who are not Statisticians. No previous knowledge of Statistics is assumed as we start right at the beginning with the basics. Many practical examples are given and the emphasis is on application and understanding rather than the equations and the technical background.
The basics of statistics are discussed to give background and a common base to start from and the applications and use of statistics in drug development is then discussed. The role of the statistician and their ability to help with decision making is also discussed.
It also serves as a useful refresher course to those who once studied statistics as part of a college course.
The following key topics will be addressed:
1. Types of Data
2. Measures of location and variability
3. Basic Inference
4. Power calculations and Sample Sizing
5. Design Issues
For more information on specific topics, please contact the presenter direct on gemma@qistatistics.co.uk
Gemma Hodgson has worked in the Pharmaceutical industry for 20 years. After receiving her first degree from Imperial College (Maths with Statistics) and then an MSc in Medical Statistics from London School of Tropical Hygiene and Medicine, Gemma began her career at Pfizer in Sandwich working in experienced global teams on major phase 3 projects. After 13 years at Pfizer and working in all phases of development, from phase 1 to phase 4, Gemma then moved to Takeda R &D in London where she worked on later phase projects, focussing on close liaison with other departments within the organisation. In 2012 Gemma left Takeda to work for a statistical training and consultancy firm, Qi Statistics Ltd, where training of non-statisticians and explaining statistical concepts to non-scientific audiences is key. Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
Course runs from: 09:45 – 17:00 (registration from 9:15)
Registration
Please register online atwww.psiweb.org and click on Events; payment now available online.
Registration costs (includes lunch and refreshments)
Registration before 13th October 2017
£425 plus vat
Registration on or after 13th October 2017
£495 plus vat
Registration is now closed.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements. Please contact us on +44 (0)1730 715 235 or at PSI@mci-group.com for further information.
Journal Club
Statistics Fundamentals for Clinical Trials for Non-Statisticians (or ‘How to speak stats in a day!’)
Address: Premier Meetings Reading Central, Letcombe Street, Reading, Berkshire, RG1 2HN, United Kingdom
Presented by
Gemma Hodgson (Qi Statistics Ltd)
This basic but wide-ranging course covers techniques for investigating, visualising and performing basic statistical techniques on data sets typical to industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then demonstrated using data examples.
Mathematical details are kept to a necessary minimum and we focus on the interpretation of statistical output and illustrate applications with data from dummy clinical trials or published data. The objective of the course is not to teach you how to become a statistician, but to help you work with statisticians and get the maximum value from statistical output.
The course will consist of lectures, practical examples and discussions. There will not be any computer exercises.
Target Audience:
This is a 1-day course, aimed to introduce statistics to people who work on Clinical Trials, but who are not Statisticians. No previous knowledge of Statistics is assumed as we start right at the beginning with the basics. Many practical examples are given and the emphasis is on application and understanding rather than the equations and the technical background.
The basics of statistics are discussed to give background and a common base to start from and the applications and use of statistics in drug development is then discussed. The role of the statistician and their ability to help with decision making is also discussed.
It also serves as a useful refresher course to those who once studied statistics as part of a college course.
The following key topics will be addressed:
1. Types of Data
2. Measures of location and variability
3. Basic Inference
4. Power calculations and Sample Sizing
5. Design Issues
For more information on specific topics, please contact the presenter direct on gemma@qistatistics.co.uk
Gemma Hodgson has worked in the Pharmaceutical industry for 20 years. After receiving her first degree from Imperial College (Maths with Statistics) and then an MSc in Medical Statistics from London School of Tropical Hygiene and Medicine, Gemma began her career at Pfizer in Sandwich working in experienced global teams on major phase 3 projects. After 13 years at Pfizer and working in all phases of development, from phase 1 to phase 4, Gemma then moved to Takeda R &D in London where she worked on later phase projects, focussing on close liaison with other departments within the organisation. In 2012 Gemma left Takeda to work for a statistical training and consultancy firm, Qi Statistics Ltd, where training of non-statisticians and explaining statistical concepts to non-scientific audiences is key. Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
Course runs from: 09:45 – 17:00 (registration from 9:15)
Registration
Please register online atwww.psiweb.org and click on Events; payment now available online.
Registration costs (includes lunch and refreshments)
Registration before 13th October 2017
£425 plus vat
Registration on or after 13th October 2017
£495 plus vat
Registration is now closed.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements. Please contact us on +44 (0)1730 715 235 or at PSI@mci-group.com for further information.
Webinars
Statistics Fundamentals for Clinical Trials for Non-Statisticians (or ‘How to speak stats in a day!’)
Address: Premier Meetings Reading Central, Letcombe Street, Reading, Berkshire, RG1 2HN, United Kingdom
Presented by
Gemma Hodgson (Qi Statistics Ltd)
This basic but wide-ranging course covers techniques for investigating, visualising and performing basic statistical techniques on data sets typical to industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then demonstrated using data examples.
Mathematical details are kept to a necessary minimum and we focus on the interpretation of statistical output and illustrate applications with data from dummy clinical trials or published data. The objective of the course is not to teach you how to become a statistician, but to help you work with statisticians and get the maximum value from statistical output.
The course will consist of lectures, practical examples and discussions. There will not be any computer exercises.
Target Audience:
This is a 1-day course, aimed to introduce statistics to people who work on Clinical Trials, but who are not Statisticians. No previous knowledge of Statistics is assumed as we start right at the beginning with the basics. Many practical examples are given and the emphasis is on application and understanding rather than the equations and the technical background.
The basics of statistics are discussed to give background and a common base to start from and the applications and use of statistics in drug development is then discussed. The role of the statistician and their ability to help with decision making is also discussed.
It also serves as a useful refresher course to those who once studied statistics as part of a college course.
The following key topics will be addressed:
1. Types of Data
2. Measures of location and variability
3. Basic Inference
4. Power calculations and Sample Sizing
5. Design Issues
For more information on specific topics, please contact the presenter direct on gemma@qistatistics.co.uk
Gemma Hodgson has worked in the Pharmaceutical industry for 20 years. After receiving her first degree from Imperial College (Maths with Statistics) and then an MSc in Medical Statistics from London School of Tropical Hygiene and Medicine, Gemma began her career at Pfizer in Sandwich working in experienced global teams on major phase 3 projects. After 13 years at Pfizer and working in all phases of development, from phase 1 to phase 4, Gemma then moved to Takeda R &D in London where she worked on later phase projects, focussing on close liaison with other departments within the organisation. In 2012 Gemma left Takeda to work for a statistical training and consultancy firm, Qi Statistics Ltd, where training of non-statisticians and explaining statistical concepts to non-scientific audiences is key. Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
Course runs from: 09:45 – 17:00 (registration from 9:15)
Registration
Please register online atwww.psiweb.org and click on Events; payment now available online.
Registration costs (includes lunch and refreshments)
Registration before 13th October 2017
£425 plus vat
Registration on or after 13th October 2017
£495 plus vat
Registration is now closed.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements. Please contact us on +44 (0)1730 715 235 or at PSI@mci-group.com for further information.
Careers Meetings
Statistics Fundamentals for Clinical Trials for Non-Statisticians (or ‘How to speak stats in a day!’)
Address: Premier Meetings Reading Central, Letcombe Street, Reading, Berkshire, RG1 2HN, United Kingdom
Presented by
Gemma Hodgson (Qi Statistics Ltd)
This basic but wide-ranging course covers techniques for investigating, visualising and performing basic statistical techniques on data sets typical to industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then demonstrated using data examples.
Mathematical details are kept to a necessary minimum and we focus on the interpretation of statistical output and illustrate applications with data from dummy clinical trials or published data. The objective of the course is not to teach you how to become a statistician, but to help you work with statisticians and get the maximum value from statistical output.
The course will consist of lectures, practical examples and discussions. There will not be any computer exercises.
Target Audience:
This is a 1-day course, aimed to introduce statistics to people who work on Clinical Trials, but who are not Statisticians. No previous knowledge of Statistics is assumed as we start right at the beginning with the basics. Many practical examples are given and the emphasis is on application and understanding rather than the equations and the technical background.
The basics of statistics are discussed to give background and a common base to start from and the applications and use of statistics in drug development is then discussed. The role of the statistician and their ability to help with decision making is also discussed.
It also serves as a useful refresher course to those who once studied statistics as part of a college course.
The following key topics will be addressed:
1. Types of Data
2. Measures of location and variability
3. Basic Inference
4. Power calculations and Sample Sizing
5. Design Issues
For more information on specific topics, please contact the presenter direct on gemma@qistatistics.co.uk
Gemma Hodgson has worked in the Pharmaceutical industry for 20 years. After receiving her first degree from Imperial College (Maths with Statistics) and then an MSc in Medical Statistics from London School of Tropical Hygiene and Medicine, Gemma began her career at Pfizer in Sandwich working in experienced global teams on major phase 3 projects. After 13 years at Pfizer and working in all phases of development, from phase 1 to phase 4, Gemma then moved to Takeda R &D in London where she worked on later phase projects, focussing on close liaison with other departments within the organisation. In 2012 Gemma left Takeda to work for a statistical training and consultancy firm, Qi Statistics Ltd, where training of non-statisticians and explaining statistical concepts to non-scientific audiences is key. Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
Course runs from: 09:45 – 17:00 (registration from 9:15)
Registration
Please register online atwww.psiweb.org and click on Events; payment now available online.
Registration costs (includes lunch and refreshments)
Registration before 13th October 2017
£425 plus vat
Registration on or after 13th October 2017
£495 plus vat
Registration is now closed.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements. Please contact us on +44 (0)1730 715 235 or at PSI@mci-group.com for further information.
Upcoming Events
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.
Topic: R Package Basics.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “R Package Basics,” will introduce the fundamentals of working with R packages—covering how to install, load, and manage them effectively to support data analysis and reproducible research. The session will provide a solid starting point, clarify common misconceptions, and offer valuable resources for continued learning.
Date: Ongoing 6 month cycle beginning late April/early May 2026
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 Book Club Lunch and Learn: Communicating with Clarity and Confidence
If you have read Ros Atkins’ book The Art of Explanation or want to listen to the BBC’s ‘Communicator in Chief’, you are invited to join the PSI Book Club Lunch and Learn, to discuss the content and application with the author, Ros Atkins. Having written the book within the context of the news industry, Ros is keen to hear how we have applied the ideas as statisticians within drug development and clinical trials. There will be dedicated time during the webinar to ASK THE AUTHOR any questions – don’t miss out on this exclusive PSI Book Club event!
Haven’t read the book yet? Pick up a copy today and join us.
Explanation - identifying and communicating what we want to say - is described as an art, in the title of his book. However, the creativity comes from Ros’ discernment in identifying and describing a clear step-by-step process to follow and practice. Readers can learn Ros’ rules, developed and polished throughout his career as a journalist, to help communicate complex written or spoken information clearly.
PSI Training Course: Effective Leadership – the keys to growing your leadership capabilities
This course will consist of three online half-day workshops. The first will be aimed at building trust, the backbone of leadership and a key to becoming effective. This is key to building a solid foundation.
The second will be on improving communication as a technical leader. This workshop will focus on communication strategies for different stakeholders and will involve tips on effective communication and how to develop the skills of active listening, coaching and what improv can teach us about good communication.
The final workshop will bring these two components together to help leaders become more influential. This will also focus on how to use Steven Covey’s 7-Habits, in particular Habits 4, 5 and 6, which are called the habits of communication.
The workshops will be interactive, allowing you to practice the concepts discussed. There will be plenty of time for questions and discussion. There will also be reflective time where you can think about what you are learning and how you might experiment with it.