Date: Tuesday 14th & Wednesday 15th November 2023
Time: 09:00-17:00 each day
Location: This Course will be taught in person, at De Morgan House, 57-58 Russell Square, London WC1B 4HS
Speaker: Professor Steven A Julious (Section Director and NIHR Senior Investigator at The University of Sheffield.)
Who is this event intended for? Statisticians working in clinical trials looking to learn about sample size calculations for different types of trial outcomes and study objectives.
What is the benefit of attending? The study is a practical course based on real world calculations where participants will be able to come away understanding how to calculate their own sample sizes depending on the type of clinical trial design. Participants will also be introduced to how some estimates used in the calculations are obtained. There will be an opportunity for attendees also to meet and network with other attendees across the industry.
PSI Members = £320+VAT
Non-Members = £430*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
To book your place, please click here.
Please note:
- There are a limited number of places for this in-person event. Due to its popularity, we do kindly ask you to consider both the timings and location before committing to attend.
- Registration does not include hotel accommodation. If a hotel is required (as this Course runs over two consecutive days), delegates will need to book their own accommodation separately. Some hotels local to the venue are: President Hotel, Beauchamp Hotel, Mercure and Imperial Hotels.
The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
There will be 4 sessions per day, each between 1.30-2.00 hours. A session will consist of both lectures and practicals, involving calculators or other calculation devices.
After introductions the course will give a background to sample size calculations and then go on to cover sample sizes in superiority trials with Normal and binary data, ending the day with trials based on precision. Each lecture will be based on a hands on practical of the methods.
The day will begin with sample sizes for cross-over trials followed by a practical which will also enforce the lessons from day 1. The course will then cover calculations for non-inferiority and equivalence trials as well as trials with ordinal data and trials with survival data. It will then move on to more advanced topics of sample sizes for pilot trials and the design of trials which will be adaptive, ending the day with further statistical considerations in the design of studies.
|
Speaker |
Biography |
|
|
Steven A Julious, Professor of Medical Statistics, has over 30 years of applied experience in medical statistics in both industry and the academic setting with an interest in all aspects of clinical trials from molecule through to the marketplace. His main research focus is clinical trial design and the development of applied methods related to clinical trials. The methodologies around sample size estimation are a particular interest and as well as a book, the second edition of which has just been published, Steven has developed a mobile app for the calculations called SampSize. |
Date: Tuesday 14th & Wednesday 15th November 2023
Time: 09:00-17:00 each day
Location: This Course will be taught in person, at De Morgan House, 57-58 Russell Square, London WC1B 4HS
Speaker: Professor Steven A Julious (Section Director and NIHR Senior Investigator at The University of Sheffield.)
Who is this event intended for? Statisticians working in clinical trials looking to learn about sample size calculations for different types of trial outcomes and study objectives.
What is the benefit of attending? The study is a practical course based on real world calculations where participants will be able to come away understanding how to calculate their own sample sizes depending on the type of clinical trial design. Participants will also be introduced to how some estimates used in the calculations are obtained. There will be an opportunity for attendees also to meet and network with other attendees across the industry.
PSI Members = £320+VAT
Non-Members = £430*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
To book your place, please click here.
Please note:
- There are a limited number of places for this in-person event. Due to its popularity, we do kindly ask you to consider both the timings and location before committing to attend.
- Registration does not include hotel accommodation. If a hotel is required (as this Course runs over two consecutive days), delegates will need to book their own accommodation separately. Some hotels local to the venue are: President Hotel, Beauchamp Hotel, Mercure and Imperial Hotels.
The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
There will be 4 sessions per day, each between 1.30-2.00 hours. A session will consist of both lectures and practicals, involving calculators or other calculation devices.
After introductions the course will give a background to sample size calculations and then go on to cover sample sizes in superiority trials with Normal and binary data, ending the day with trials based on precision. Each lecture will be based on a hands on practical of the methods.
The day will begin with sample sizes for cross-over trials followed by a practical which will also enforce the lessons from day 1. The course will then cover calculations for non-inferiority and equivalence trials as well as trials with ordinal data and trials with survival data. It will then move on to more advanced topics of sample sizes for pilot trials and the design of trials which will be adaptive, ending the day with further statistical considerations in the design of studies.
|
Speaker |
Biography |
|
|
Steven A Julious, Professor of Medical Statistics, has over 30 years of applied experience in medical statistics in both industry and the academic setting with an interest in all aspects of clinical trials from molecule through to the marketplace. His main research focus is clinical trial design and the development of applied methods related to clinical trials. The methodologies around sample size estimation are a particular interest and as well as a book, the second edition of which has just been published, Steven has developed a mobile app for the calculations called SampSize. |
Date: Tuesday 14th & Wednesday 15th November 2023
Time: 09:00-17:00 each day
Location: This Course will be taught in person, at De Morgan House, 57-58 Russell Square, London WC1B 4HS
Speaker: Professor Steven A Julious (Section Director and NIHR Senior Investigator at The University of Sheffield.)
Who is this event intended for? Statisticians working in clinical trials looking to learn about sample size calculations for different types of trial outcomes and study objectives.
What is the benefit of attending? The study is a practical course based on real world calculations where participants will be able to come away understanding how to calculate their own sample sizes depending on the type of clinical trial design. Participants will also be introduced to how some estimates used in the calculations are obtained. There will be an opportunity for attendees also to meet and network with other attendees across the industry.
PSI Members = £320+VAT
Non-Members = £430*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
To book your place, please click here.
Please note:
- There are a limited number of places for this in-person event. Due to its popularity, we do kindly ask you to consider both the timings and location before committing to attend.
- Registration does not include hotel accommodation. If a hotel is required (as this Course runs over two consecutive days), delegates will need to book their own accommodation separately. Some hotels local to the venue are: President Hotel, Beauchamp Hotel, Mercure and Imperial Hotels.
The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
There will be 4 sessions per day, each between 1.30-2.00 hours. A session will consist of both lectures and practicals, involving calculators or other calculation devices.
After introductions the course will give a background to sample size calculations and then go on to cover sample sizes in superiority trials with Normal and binary data, ending the day with trials based on precision. Each lecture will be based on a hands on practical of the methods.
The day will begin with sample sizes for cross-over trials followed by a practical which will also enforce the lessons from day 1. The course will then cover calculations for non-inferiority and equivalence trials as well as trials with ordinal data and trials with survival data. It will then move on to more advanced topics of sample sizes for pilot trials and the design of trials which will be adaptive, ending the day with further statistical considerations in the design of studies.
|
Speaker |
Biography |
|
|
Steven A Julious, Professor of Medical Statistics, has over 30 years of applied experience in medical statistics in both industry and the academic setting with an interest in all aspects of clinical trials from molecule through to the marketplace. His main research focus is clinical trial design and the development of applied methods related to clinical trials. The methodologies around sample size estimation are a particular interest and as well as a book, the second edition of which has just been published, Steven has developed a mobile app for the calculations called SampSize. |
Date: Tuesday 14th & Wednesday 15th November 2023
Time: 09:00-17:00 each day
Location: This Course will be taught in person, at De Morgan House, 57-58 Russell Square, London WC1B 4HS
Speaker: Professor Steven A Julious (Section Director and NIHR Senior Investigator at The University of Sheffield.)
Who is this event intended for? Statisticians working in clinical trials looking to learn about sample size calculations for different types of trial outcomes and study objectives.
What is the benefit of attending? The study is a practical course based on real world calculations where participants will be able to come away understanding how to calculate their own sample sizes depending on the type of clinical trial design. Participants will also be introduced to how some estimates used in the calculations are obtained. There will be an opportunity for attendees also to meet and network with other attendees across the industry.
PSI Members = £320+VAT
Non-Members = £430*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
To book your place, please click here.
Please note:
- There are a limited number of places for this in-person event. Due to its popularity, we do kindly ask you to consider both the timings and location before committing to attend.
- Registration does not include hotel accommodation. If a hotel is required (as this Course runs over two consecutive days), delegates will need to book their own accommodation separately. Some hotels local to the venue are: President Hotel, Beauchamp Hotel, Mercure and Imperial Hotels.
The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
There will be 4 sessions per day, each between 1.30-2.00 hours. A session will consist of both lectures and practicals, involving calculators or other calculation devices.
After introductions the course will give a background to sample size calculations and then go on to cover sample sizes in superiority trials with Normal and binary data, ending the day with trials based on precision. Each lecture will be based on a hands on practical of the methods.
The day will begin with sample sizes for cross-over trials followed by a practical which will also enforce the lessons from day 1. The course will then cover calculations for non-inferiority and equivalence trials as well as trials with ordinal data and trials with survival data. It will then move on to more advanced topics of sample sizes for pilot trials and the design of trials which will be adaptive, ending the day with further statistical considerations in the design of studies.
|
Speaker |
Biography |
|
|
Steven A Julious, Professor of Medical Statistics, has over 30 years of applied experience in medical statistics in both industry and the academic setting with an interest in all aspects of clinical trials from molecule through to the marketplace. His main research focus is clinical trial design and the development of applied methods related to clinical trials. The methodologies around sample size estimation are a particular interest and as well as a book, the second edition of which has just been published, Steven has developed a mobile app for the calculations called SampSize. |
Date: Tuesday 14th & Wednesday 15th November 2023
Time: 09:00-17:00 each day
Location: This Course will be taught in person, at De Morgan House, 57-58 Russell Square, London WC1B 4HS
Speaker: Professor Steven A Julious (Section Director and NIHR Senior Investigator at The University of Sheffield.)
Who is this event intended for? Statisticians working in clinical trials looking to learn about sample size calculations for different types of trial outcomes and study objectives.
What is the benefit of attending? The study is a practical course based on real world calculations where participants will be able to come away understanding how to calculate their own sample sizes depending on the type of clinical trial design. Participants will also be introduced to how some estimates used in the calculations are obtained. There will be an opportunity for attendees also to meet and network with other attendees across the industry.
PSI Members = £320+VAT
Non-Members = £430*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
To book your place, please click here.
Please note:
- There are a limited number of places for this in-person event. Due to its popularity, we do kindly ask you to consider both the timings and location before committing to attend.
- Registration does not include hotel accommodation. If a hotel is required (as this Course runs over two consecutive days), delegates will need to book their own accommodation separately. Some hotels local to the venue are: President Hotel, Beauchamp Hotel, Mercure and Imperial Hotels.
The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
There will be 4 sessions per day, each between 1.30-2.00 hours. A session will consist of both lectures and practicals, involving calculators or other calculation devices.
After introductions the course will give a background to sample size calculations and then go on to cover sample sizes in superiority trials with Normal and binary data, ending the day with trials based on precision. Each lecture will be based on a hands on practical of the methods.
The day will begin with sample sizes for cross-over trials followed by a practical which will also enforce the lessons from day 1. The course will then cover calculations for non-inferiority and equivalence trials as well as trials with ordinal data and trials with survival data. It will then move on to more advanced topics of sample sizes for pilot trials and the design of trials which will be adaptive, ending the day with further statistical considerations in the design of studies.
|
Speaker |
Biography |
|
|
Steven A Julious, Professor of Medical Statistics, has over 30 years of applied experience in medical statistics in both industry and the academic setting with an interest in all aspects of clinical trials from molecule through to the marketplace. His main research focus is clinical trial design and the development of applied methods related to clinical trials. The methodologies around sample size estimation are a particular interest and as well as a book, the second edition of which has just been published, Steven has developed a mobile app for the calculations called SampSize. |
Date: Tuesday 14th & Wednesday 15th November 2023
Time: 09:00-17:00 each day
Location: This Course will be taught in person, at De Morgan House, 57-58 Russell Square, London WC1B 4HS
Speaker: Professor Steven A Julious (Section Director and NIHR Senior Investigator at The University of Sheffield.)
Who is this event intended for? Statisticians working in clinical trials looking to learn about sample size calculations for different types of trial outcomes and study objectives.
What is the benefit of attending? The study is a practical course based on real world calculations where participants will be able to come away understanding how to calculate their own sample sizes depending on the type of clinical trial design. Participants will also be introduced to how some estimates used in the calculations are obtained. There will be an opportunity for attendees also to meet and network with other attendees across the industry.
PSI Members = £320+VAT
Non-Members = £430*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
To book your place, please click here.
Please note:
- There are a limited number of places for this in-person event. Due to its popularity, we do kindly ask you to consider both the timings and location before committing to attend.
- Registration does not include hotel accommodation. If a hotel is required (as this Course runs over two consecutive days), delegates will need to book their own accommodation separately. Some hotels local to the venue are: President Hotel, Beauchamp Hotel, Mercure and Imperial Hotels.
The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
There will be 4 sessions per day, each between 1.30-2.00 hours. A session will consist of both lectures and practicals, involving calculators or other calculation devices.
After introductions the course will give a background to sample size calculations and then go on to cover sample sizes in superiority trials with Normal and binary data, ending the day with trials based on precision. Each lecture will be based on a hands on practical of the methods.
The day will begin with sample sizes for cross-over trials followed by a practical which will also enforce the lessons from day 1. The course will then cover calculations for non-inferiority and equivalence trials as well as trials with ordinal data and trials with survival data. It will then move on to more advanced topics of sample sizes for pilot trials and the design of trials which will be adaptive, ending the day with further statistical considerations in the design of studies.
|
Speaker |
Biography |
|
|
Steven A Julious, Professor of Medical Statistics, has over 30 years of applied experience in medical statistics in both industry and the academic setting with an interest in all aspects of clinical trials from molecule through to the marketplace. His main research focus is clinical trial design and the development of applied methods related to clinical trials. The methodologies around sample size estimation are a particular interest and as well as a book, the second edition of which has just been published, Steven has developed a mobile app for the calculations called SampSize. |
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.
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 book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
This webinar is organised by the RWD SIG and the Historical Data SIG. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.
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 will be a 45 minute webinar which will explain the topic presented in the published paper, ‘Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance’. There will be 15 minutes for a panel Q&A with some of the authors following the presentation.
This 1-hour webinar will be an opportunity to hear about the methodology and first results of the iRISE consortium. iRISE is working towards a better understanding of reproducibility and the interventions that work to improve it. At the end of the presentation there will also be the opportunity to ask questions.
This one-day event focuses on the comprehensive management of transitioning to R/Open-Source, addressing the challenges and providing actionable insights. Attendees will participate in sessions covering essential topics such as training best practices, creating strategic plans, making the case to senior management, and managing both statistical and programming aspects of the transition.
Develop your non-technical skills by reading The Art of Explanation by Ros Atkins and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply skills from the book in-between sessions.
This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The program will feature insightful sessions led by distinguished invited speakers, alongside a poster session showcasing the latest advancements in the field. Further details will be provided.
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 exciting, new opportunity for an experienced Statistician looking to take the next step in their career. Offered as a remote or hybrid position aligned with our site in Harrogate, North Yorkshire.
About cookies on this site
We use cookies to collect and analyse information on site performance and usage, to provide social media features and to enhance and customise content and advertisements.
About cookies on this site
Cookies used on the site are categorized and below you can read about each category and allow or deny some or all of them. When categories than have been previously allowed are disabled, all cookies assigned to that category will be removed from your browser. Additionally you can see a list of cookies assigned to each category and detailed information in the cookie declaration.
Necessary cookies
Some cookies are required to provide core functionality. The website won't function properly without these cookies and they are enabled by default and cannot be disabled.
CookieHub is a Consent Management Platform (CMP) which allows users to control storage and processing of personal information.
Cloudflare is a global network designed to make everything you connect to the Internet secure, private, fast, and reliable.
Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications.
Microsoft Azure is a cloud computing platform offering a wide range of services, including virtual machines, databases, and AI tools.
Preferences
Preference cookies enables the web site to remember information to customize how the web site looks or behaves for each user. This may include storing selected currency, region, language or color theme.
Analytical cookies
Analytical cookies help us improve our website by collecting and reporting information on its usage.
Google Analytics is a web analytics service offered by Google that tracks and reports website traffic.
Vimeo, Inc. is an American video hosting, sharing, services provider, and broadcaster. Vimeo focuses on the delivery of high-definition video across a range of devices.
Cookies used on the site are categorized and below you can read about each category and allow or deny some or all of them. When categories than have been previously allowed are disabled, all cookies assigned to that category will be removed from your browser. Additionally you can see a list of cookies assigned to each category and detailed information in the cookie declaration.
Necessary cookies
Some cookies are required to provide core functionality. The website won't function properly without these cookies and they are enabled by default and cannot be disabled.
| Name | Hostname | Vendor | Expiry |
|---|---|---|---|
| ARRAffinity | .psiweb.org | Session | |
This cookie is set by websites run on the Windows Azure cloud platform. It is used for load balancing to make sure the visitor page requests are routed to the same server in any browsing session. | |||
| ARRAffinitySameSite | .psiweb.org | Session | |
Used to distribute traffic to the website on several servers in order to optimize response times. | |||
| __cf_bm | .vimeo.com | Cloudflare, Inc. | 1 hour |
The __cf_bm cookie supports Cloudflare Bot Management by managing incoming traffic that matches criteria associated with bots. The cookie does not collect any personal data, and any information collected is subject to one-way encryption. | |||
| _cfuvid | .vimeo.com | Session | |
Used by Cloudflare WAF to distinguish individual users who share the same IP address and apply rate limits | |||
| __cf_bm | .glueup.com | Cloudflare, Inc. | 1 hour |
The __cf_bm cookie supports Cloudflare Bot Management by managing incoming traffic that matches criteria associated with bots. The cookie does not collect any personal data, and any information collected is subject to one-way encryption. | |||
| AWSALBTGCORS | psi.glueup.com | 7 days | |
AWS Classic Load Balancer Cookie: Load Balancing Cookie: Used to map the session to the instance. Same value as AWSELB. | |||
| PHPSESSID | psi.glueup.com | Session | |
Cookie generated by applications based on the PHP language. This is a general purpose identifier used to maintain user session variables. It is normally a random generated number, how it is used can be specific to the site, but a good example is maintaining a logged-in status for a user between pages. | |||
| History.store | Session | ||
| cookiehub | .psiweb.org | CookieHub | 365 days |
Used by CookieHub to store information about whether visitors have given or declined the use of cookie categories used on the site. | |||
Preferences
Preference cookies enables the web site to remember information to customize how the web site looks or behaves for each user. This may include storing selected currency, region, language or color theme.
| Name | Hostname | Vendor | Expiry |
|---|---|---|---|
| vuid | .vimeo.com | 400 days | |
These cookies are used by the Vimeo video player on websites. | |||
| AWSALBCORS | psi.glueup.com | 7 days | |
Amazon Web Services cookie. This cookie enables us to allocate server traffic to make the user experience as smooth as possible. A so-called load balancer is used to determine which server currently has the best availability. The information generated cannot identify you as an individual. | |||
Analytical cookies
Analytical cookies help us improve our website by collecting and reporting information on its usage.
| Name | Hostname | Vendor | Expiry |
|---|---|---|---|
| _ga_ | .psiweb.org | 400 days | |
Contains a unique identifier used by Google Analytics 4 to determine that two distinct hits belong to the same user across browsing sessions. | |||
| _ga | .psiweb.org | 400 days | |
Contains a unique identifier used by Google Analytics to determine that two distinct hits belong to the same user across browsing sessions. | |||
