How to find us: Novotel, London Excel, UK
Presented by Steven A. Julious
Steven is a Professor of Medical Statistics at The University of Sheffield but through his career has worked in both the academic and pharmaceutical sector and is a former editor of the journal Pharmaceutical Statistics. He has an interest in applied methods for clinical trials and has a particular interest in clinical study design and sample size estimation. He has written two books one on early phase trials and one on sample size estimation and has also developed an App called SampSize for the estimation of sample sizes.
About the course:
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 be highlighted 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.
The following topics will be covered:
Introduction to Key Concepts
- Type I error
- Type II error
- Power
Sample Sizes for Different Clinical Trial Objectives
- Superiority
- Equivalence
- Non-inferiority
- Precision based
- Bioequivalence
- Pilot studies
Sample Sizes for Different Types of Data
- Normal
- Binary
- Ordinal
- Survival
Clinical Trial Designs
- Cross-over
- Parallel Group
How Design Considerations Impact on the Sample Size
- Baselines/covariates
- Multiple endpoints
Other Considerations when Designing a Trial
- Sensitivity analysis
- Optimising variance estimates
Considerations which Impact on the Sample Size
- Adaptive designs for efficacy
- Assessing futility
- Sample size-re-estimation
Course runs from:
10:00 – 17:30 (registration from 9:30) on Day 1
09:00 – 16:30 on Day 2.
Registration costs (includes lunch and refreshments)
| Before 30th May 2017 | |
| PSI Members | £495 + VAT |
| Non-Members | £570 + VAT (includes PSI membership for 1 year) |
| After 30th May 2017 | |
| PSI Members | £595 + VAT |
| Non-Members | £670 + VAT (includes PSI membership for 1 year) |
PSI are holding a limited number of hotel rooms at an extra cost until the 30th May 2017 which will be allocated on a first come first served basis. Please contact the PSI Secretariat for more information.
Registration for this course has now closed.
How to find us: Novotel, London Excel, UK
Presented by Steven A. Julious
Steven is a Professor of Medical Statistics at The University of Sheffield but through his career has worked in both the academic and pharmaceutical sector and is a former editor of the journal Pharmaceutical Statistics. He has an interest in applied methods for clinical trials and has a particular interest in clinical study design and sample size estimation. He has written two books one on early phase trials and one on sample size estimation and has also developed an App called SampSize for the estimation of sample sizes.
About the course:
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 be highlighted 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.
The following topics will be covered:
Introduction to Key Concepts
- Type I error
- Type II error
- Power
Sample Sizes for Different Clinical Trial Objectives
- Superiority
- Equivalence
- Non-inferiority
- Precision based
- Bioequivalence
- Pilot studies
Sample Sizes for Different Types of Data
- Normal
- Binary
- Ordinal
- Survival
Clinical Trial Designs
- Cross-over
- Parallel Group
How Design Considerations Impact on the Sample Size
- Baselines/covariates
- Multiple endpoints
Other Considerations when Designing a Trial
- Sensitivity analysis
- Optimising variance estimates
Considerations which Impact on the Sample Size
- Adaptive designs for efficacy
- Assessing futility
- Sample size-re-estimation
Course runs from:
10:00 – 17:30 (registration from 9:30) on Day 1
09:00 – 16:30 on Day 2.
Registration costs (includes lunch and refreshments)
| Before 30th May 2017 | |
| PSI Members | £495 + VAT |
| Non-Members | £570 + VAT (includes PSI membership for 1 year) |
| After 30th May 2017 | |
| PSI Members | £595 + VAT |
| Non-Members | £670 + VAT (includes PSI membership for 1 year) |
PSI are holding a limited number of hotel rooms at an extra cost until the 30th May 2017 which will be allocated on a first come first served basis. Please contact the PSI Secretariat for more information.
Registration for this course has now closed.
How to find us: Novotel, London Excel, UK
Presented by Steven A. Julious
Steven is a Professor of Medical Statistics at The University of Sheffield but through his career has worked in both the academic and pharmaceutical sector and is a former editor of the journal Pharmaceutical Statistics. He has an interest in applied methods for clinical trials and has a particular interest in clinical study design and sample size estimation. He has written two books one on early phase trials and one on sample size estimation and has also developed an App called SampSize for the estimation of sample sizes.
About the course:
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 be highlighted 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.
The following topics will be covered:
Introduction to Key Concepts
- Type I error
- Type II error
- Power
Sample Sizes for Different Clinical Trial Objectives
- Superiority
- Equivalence
- Non-inferiority
- Precision based
- Bioequivalence
- Pilot studies
Sample Sizes for Different Types of Data
- Normal
- Binary
- Ordinal
- Survival
Clinical Trial Designs
- Cross-over
- Parallel Group
How Design Considerations Impact on the Sample Size
- Baselines/covariates
- Multiple endpoints
Other Considerations when Designing a Trial
- Sensitivity analysis
- Optimising variance estimates
Considerations which Impact on the Sample Size
- Adaptive designs for efficacy
- Assessing futility
- Sample size-re-estimation
Course runs from:
10:00 – 17:30 (registration from 9:30) on Day 1
09:00 – 16:30 on Day 2.
Registration costs (includes lunch and refreshments)
| Before 30th May 2017 | |
| PSI Members | £495 + VAT |
| Non-Members | £570 + VAT (includes PSI membership for 1 year) |
| After 30th May 2017 | |
| PSI Members | £595 + VAT |
| Non-Members | £670 + VAT (includes PSI membership for 1 year) |
PSI are holding a limited number of hotel rooms at an extra cost until the 30th May 2017 which will be allocated on a first come first served basis. Please contact the PSI Secretariat for more information.
Registration for this course has now closed.
How to find us: Novotel, London Excel, UK
Presented by Steven A. Julious
Steven is a Professor of Medical Statistics at The University of Sheffield but through his career has worked in both the academic and pharmaceutical sector and is a former editor of the journal Pharmaceutical Statistics. He has an interest in applied methods for clinical trials and has a particular interest in clinical study design and sample size estimation. He has written two books one on early phase trials and one on sample size estimation and has also developed an App called SampSize for the estimation of sample sizes.
About the course:
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 be highlighted 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.
The following topics will be covered:
Introduction to Key Concepts
- Type I error
- Type II error
- Power
Sample Sizes for Different Clinical Trial Objectives
- Superiority
- Equivalence
- Non-inferiority
- Precision based
- Bioequivalence
- Pilot studies
Sample Sizes for Different Types of Data
- Normal
- Binary
- Ordinal
- Survival
Clinical Trial Designs
- Cross-over
- Parallel Group
How Design Considerations Impact on the Sample Size
- Baselines/covariates
- Multiple endpoints
Other Considerations when Designing a Trial
- Sensitivity analysis
- Optimising variance estimates
Considerations which Impact on the Sample Size
- Adaptive designs for efficacy
- Assessing futility
- Sample size-re-estimation
Course runs from:
10:00 – 17:30 (registration from 9:30) on Day 1
09:00 – 16:30 on Day 2.
Registration costs (includes lunch and refreshments)
| Before 30th May 2017 | |
| PSI Members | £495 + VAT |
| Non-Members | £570 + VAT (includes PSI membership for 1 year) |
| After 30th May 2017 | |
| PSI Members | £595 + VAT |
| Non-Members | £670 + VAT (includes PSI membership for 1 year) |
PSI are holding a limited number of hotel rooms at an extra cost until the 30th May 2017 which will be allocated on a first come first served basis. Please contact the PSI Secretariat for more information.
Registration for this course has now closed.
How to find us: Novotel, London Excel, UK
Presented by Steven A. Julious
Steven is a Professor of Medical Statistics at The University of Sheffield but through his career has worked in both the academic and pharmaceutical sector and is a former editor of the journal Pharmaceutical Statistics. He has an interest in applied methods for clinical trials and has a particular interest in clinical study design and sample size estimation. He has written two books one on early phase trials and one on sample size estimation and has also developed an App called SampSize for the estimation of sample sizes.
About the course:
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 be highlighted 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.
The following topics will be covered:
Introduction to Key Concepts
- Type I error
- Type II error
- Power
Sample Sizes for Different Clinical Trial Objectives
- Superiority
- Equivalence
- Non-inferiority
- Precision based
- Bioequivalence
- Pilot studies
Sample Sizes for Different Types of Data
- Normal
- Binary
- Ordinal
- Survival
Clinical Trial Designs
- Cross-over
- Parallel Group
How Design Considerations Impact on the Sample Size
- Baselines/covariates
- Multiple endpoints
Other Considerations when Designing a Trial
- Sensitivity analysis
- Optimising variance estimates
Considerations which Impact on the Sample Size
- Adaptive designs for efficacy
- Assessing futility
- Sample size-re-estimation
Course runs from:
10:00 – 17:30 (registration from 9:30) on Day 1
09:00 – 16:30 on Day 2.
Registration costs (includes lunch and refreshments)
| Before 30th May 2017 | |
| PSI Members | £495 + VAT |
| Non-Members | £570 + VAT (includes PSI membership for 1 year) |
| After 30th May 2017 | |
| PSI Members | £595 + VAT |
| Non-Members | £670 + VAT (includes PSI membership for 1 year) |
PSI are holding a limited number of hotel rooms at an extra cost until the 30th May 2017 which will be allocated on a first come first served basis. Please contact the PSI Secretariat for more information.
Registration for this course has now closed.
How to find us: Novotel, London Excel, UK
Presented by Steven A. Julious
Steven is a Professor of Medical Statistics at The University of Sheffield but through his career has worked in both the academic and pharmaceutical sector and is a former editor of the journal Pharmaceutical Statistics. He has an interest in applied methods for clinical trials and has a particular interest in clinical study design and sample size estimation. He has written two books one on early phase trials and one on sample size estimation and has also developed an App called SampSize for the estimation of sample sizes.
About the course:
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 be highlighted 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.
The following topics will be covered:
Introduction to Key Concepts
- Type I error
- Type II error
- Power
Sample Sizes for Different Clinical Trial Objectives
- Superiority
- Equivalence
- Non-inferiority
- Precision based
- Bioequivalence
- Pilot studies
Sample Sizes for Different Types of Data
- Normal
- Binary
- Ordinal
- Survival
Clinical Trial Designs
- Cross-over
- Parallel Group
How Design Considerations Impact on the Sample Size
- Baselines/covariates
- Multiple endpoints
Other Considerations when Designing a Trial
- Sensitivity analysis
- Optimising variance estimates
Considerations which Impact on the Sample Size
- Adaptive designs for efficacy
- Assessing futility
- Sample size-re-estimation
Course runs from:
10:00 – 17:30 (registration from 9:30) on Day 1
09:00 – 16:30 on Day 2.
Registration costs (includes lunch and refreshments)
| Before 30th May 2017 | |
| PSI Members | £495 + VAT |
| Non-Members | £570 + VAT (includes PSI membership for 1 year) |
| After 30th May 2017 | |
| PSI Members | £595 + VAT |
| Non-Members | £670 + VAT (includes PSI membership for 1 year) |
PSI are holding a limited number of hotel rooms at an extra cost until the 30th May 2017 which will be allocated on a first come first served basis. Please contact the PSI Secretariat for more information.
Registration for this course has now closed.
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.
Who is this event intended for? Statisticians with an interest understanding dose-finding in oncology. What is the benefit of attending? Learn about the state of oncology dose finding, particularly in light of current FDA guidance.
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 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.
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 Institute of Cancer Research are seeking to appoint a Research Group Leader to join The CRUK Clinical Trials and Statistics Unit at the ICR.
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.
The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.
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. | |||
