Date: Thursday 14th - Friday 15th October 2021 Time: 10:00-12:30 & 14:00-16:30 BST on both days Location: Online Presenters: Linda Sharples and James Carpenter (LSHTM)
Who is this event intended for? This course is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models and want to further their knowledge of repeated measures and other clustered data. What is the benefit of attending? By the end of the course attendees will know how to analyse repeated measures of patients through time or other clustered data in randomised clinical trials and associated observational studies. Attendees will develop their knowledge on conditional models for continuous hierarchical and longitudinal data, GEE and discrete models. Pre-recorded lectures will allow trainees to go through course materials when convenient for them and have some time to think over and understand the topics. Practical exercises will allow hands-on experience when working with this type of data and presenters will be available during the course to answer any questions.
Overview
Repeated measures of patients through time and other clustered data are common in randomised clinical trials and associated observational studies. Measurements taken from the same patient (or from the same cluster) are likely to be correlated, so that the assumption that all responses will be identically distributed and independent from each other will not hold. Ignoring within-cluster correlation will result in bias in the estimate of the treatment effect standard error and therefore, incorrect confidence intervals and hypothesis tests. In some situations it can also result in bias in the treatment estimate itself. Using a range of worked examples, this course will explain how to analyse repeated measures and other clustered data, with an emphasis on estimating treatment effects using the appropriate covariance structure between measurements.
This course is presented through recorded lectures and online 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.
Topics covered include:
• Conditional models for continuous hierarchical data
• Conditional models for continuous longitudinal data
• Marginal models (GEE) for continuous longitudinal data
• Discrete data
Course cost
NB: This course has Early-Bird rates available. These are valid for bookings on or before 17:00 BST Wednesday 15th September only. Early-bird Members = £300+VAT Early-bird Non-Members = £425+VAT* Regular Members = £340+VAT Regular Non-Members = £465+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021, and entirety of the 2022 calendar year.
Registration
This course is fully booked.
Places for this course are limited and in high-demand, so please ensure you are able to attend before booking. Please note: PSI have moved to a new membership platform called GlueUp. When registering for this event, you will be directed to this platform to complete your registration. If you are an existing member of PSI and are prompted to enter your login credentials, this will require the email address associated with your member record and the new password you created when activating your GlueUp account.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Scientific Meetings
PSI Training Course: Repeated Measured and Mixed Models
Date: Thursday 14th - Friday 15th October 2021 Time: 10:00-12:30 & 14:00-16:30 BST on both days Location: Online Presenters: Linda Sharples and James Carpenter (LSHTM)
Who is this event intended for? This course is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models and want to further their knowledge of repeated measures and other clustered data. What is the benefit of attending? By the end of the course attendees will know how to analyse repeated measures of patients through time or other clustered data in randomised clinical trials and associated observational studies. Attendees will develop their knowledge on conditional models for continuous hierarchical and longitudinal data, GEE and discrete models. Pre-recorded lectures will allow trainees to go through course materials when convenient for them and have some time to think over and understand the topics. Practical exercises will allow hands-on experience when working with this type of data and presenters will be available during the course to answer any questions.
Overview
Repeated measures of patients through time and other clustered data are common in randomised clinical trials and associated observational studies. Measurements taken from the same patient (or from the same cluster) are likely to be correlated, so that the assumption that all responses will be identically distributed and independent from each other will not hold. Ignoring within-cluster correlation will result in bias in the estimate of the treatment effect standard error and therefore, incorrect confidence intervals and hypothesis tests. In some situations it can also result in bias in the treatment estimate itself. Using a range of worked examples, this course will explain how to analyse repeated measures and other clustered data, with an emphasis on estimating treatment effects using the appropriate covariance structure between measurements.
This course is presented through recorded lectures and online 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.
Topics covered include:
• Conditional models for continuous hierarchical data
• Conditional models for continuous longitudinal data
• Marginal models (GEE) for continuous longitudinal data
• Discrete data
Course cost
NB: This course has Early-Bird rates available. These are valid for bookings on or before 17:00 BST Wednesday 15th September only. Early-bird Members = £300+VAT Early-bird Non-Members = £425+VAT* Regular Members = £340+VAT Regular Non-Members = £465+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021, and entirety of the 2022 calendar year.
Registration
This course is fully booked.
Places for this course are limited and in high-demand, so please ensure you are able to attend before booking. Please note: PSI have moved to a new membership platform called GlueUp. When registering for this event, you will be directed to this platform to complete your registration. If you are an existing member of PSI and are prompted to enter your login credentials, this will require the email address associated with your member record and the new password you created when activating your GlueUp account.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Training Courses
PSI Training Course: Repeated Measured and Mixed Models
Date: Thursday 14th - Friday 15th October 2021 Time: 10:00-12:30 & 14:00-16:30 BST on both days Location: Online Presenters: Linda Sharples and James Carpenter (LSHTM)
Who is this event intended for? This course is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models and want to further their knowledge of repeated measures and other clustered data. What is the benefit of attending? By the end of the course attendees will know how to analyse repeated measures of patients through time or other clustered data in randomised clinical trials and associated observational studies. Attendees will develop their knowledge on conditional models for continuous hierarchical and longitudinal data, GEE and discrete models. Pre-recorded lectures will allow trainees to go through course materials when convenient for them and have some time to think over and understand the topics. Practical exercises will allow hands-on experience when working with this type of data and presenters will be available during the course to answer any questions.
Overview
Repeated measures of patients through time and other clustered data are common in randomised clinical trials and associated observational studies. Measurements taken from the same patient (or from the same cluster) are likely to be correlated, so that the assumption that all responses will be identically distributed and independent from each other will not hold. Ignoring within-cluster correlation will result in bias in the estimate of the treatment effect standard error and therefore, incorrect confidence intervals and hypothesis tests. In some situations it can also result in bias in the treatment estimate itself. Using a range of worked examples, this course will explain how to analyse repeated measures and other clustered data, with an emphasis on estimating treatment effects using the appropriate covariance structure between measurements.
This course is presented through recorded lectures and online 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.
Topics covered include:
• Conditional models for continuous hierarchical data
• Conditional models for continuous longitudinal data
• Marginal models (GEE) for continuous longitudinal data
• Discrete data
Course cost
NB: This course has Early-Bird rates available. These are valid for bookings on or before 17:00 BST Wednesday 15th September only. Early-bird Members = £300+VAT Early-bird Non-Members = £425+VAT* Regular Members = £340+VAT Regular Non-Members = £465+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021, and entirety of the 2022 calendar year.
Registration
This course is fully booked.
Places for this course are limited and in high-demand, so please ensure you are able to attend before booking. Please note: PSI have moved to a new membership platform called GlueUp. When registering for this event, you will be directed to this platform to complete your registration. If you are an existing member of PSI and are prompted to enter your login credentials, this will require the email address associated with your member record and the new password you created when activating your GlueUp account.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Journal Club
PSI Training Course: Repeated Measured and Mixed Models
Date: Thursday 14th - Friday 15th October 2021 Time: 10:00-12:30 & 14:00-16:30 BST on both days Location: Online Presenters: Linda Sharples and James Carpenter (LSHTM)
Who is this event intended for? This course is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models and want to further their knowledge of repeated measures and other clustered data. What is the benefit of attending? By the end of the course attendees will know how to analyse repeated measures of patients through time or other clustered data in randomised clinical trials and associated observational studies. Attendees will develop their knowledge on conditional models for continuous hierarchical and longitudinal data, GEE and discrete models. Pre-recorded lectures will allow trainees to go through course materials when convenient for them and have some time to think over and understand the topics. Practical exercises will allow hands-on experience when working with this type of data and presenters will be available during the course to answer any questions.
Overview
Repeated measures of patients through time and other clustered data are common in randomised clinical trials and associated observational studies. Measurements taken from the same patient (or from the same cluster) are likely to be correlated, so that the assumption that all responses will be identically distributed and independent from each other will not hold. Ignoring within-cluster correlation will result in bias in the estimate of the treatment effect standard error and therefore, incorrect confidence intervals and hypothesis tests. In some situations it can also result in bias in the treatment estimate itself. Using a range of worked examples, this course will explain how to analyse repeated measures and other clustered data, with an emphasis on estimating treatment effects using the appropriate covariance structure between measurements.
This course is presented through recorded lectures and online 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.
Topics covered include:
• Conditional models for continuous hierarchical data
• Conditional models for continuous longitudinal data
• Marginal models (GEE) for continuous longitudinal data
• Discrete data
Course cost
NB: This course has Early-Bird rates available. These are valid for bookings on or before 17:00 BST Wednesday 15th September only. Early-bird Members = £300+VAT Early-bird Non-Members = £425+VAT* Regular Members = £340+VAT Regular Non-Members = £465+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021, and entirety of the 2022 calendar year.
Registration
This course is fully booked.
Places for this course are limited and in high-demand, so please ensure you are able to attend before booking. Please note: PSI have moved to a new membership platform called GlueUp. When registering for this event, you will be directed to this platform to complete your registration. If you are an existing member of PSI and are prompted to enter your login credentials, this will require the email address associated with your member record and the new password you created when activating your GlueUp account.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Webinars
PSI Training Course: Repeated Measured and Mixed Models
Date: Thursday 14th - Friday 15th October 2021 Time: 10:00-12:30 & 14:00-16:30 BST on both days Location: Online Presenters: Linda Sharples and James Carpenter (LSHTM)
Who is this event intended for? This course is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models and want to further their knowledge of repeated measures and other clustered data. What is the benefit of attending? By the end of the course attendees will know how to analyse repeated measures of patients through time or other clustered data in randomised clinical trials and associated observational studies. Attendees will develop their knowledge on conditional models for continuous hierarchical and longitudinal data, GEE and discrete models. Pre-recorded lectures will allow trainees to go through course materials when convenient for them and have some time to think over and understand the topics. Practical exercises will allow hands-on experience when working with this type of data and presenters will be available during the course to answer any questions.
Overview
Repeated measures of patients through time and other clustered data are common in randomised clinical trials and associated observational studies. Measurements taken from the same patient (or from the same cluster) are likely to be correlated, so that the assumption that all responses will be identically distributed and independent from each other will not hold. Ignoring within-cluster correlation will result in bias in the estimate of the treatment effect standard error and therefore, incorrect confidence intervals and hypothesis tests. In some situations it can also result in bias in the treatment estimate itself. Using a range of worked examples, this course will explain how to analyse repeated measures and other clustered data, with an emphasis on estimating treatment effects using the appropriate covariance structure between measurements.
This course is presented through recorded lectures and online 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.
Topics covered include:
• Conditional models for continuous hierarchical data
• Conditional models for continuous longitudinal data
• Marginal models (GEE) for continuous longitudinal data
• Discrete data
Course cost
NB: This course has Early-Bird rates available. These are valid for bookings on or before 17:00 BST Wednesday 15th September only. Early-bird Members = £300+VAT Early-bird Non-Members = £425+VAT* Regular Members = £340+VAT Regular Non-Members = £465+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021, and entirety of the 2022 calendar year.
Registration
This course is fully booked.
Places for this course are limited and in high-demand, so please ensure you are able to attend before booking. Please note: PSI have moved to a new membership platform called GlueUp. When registering for this event, you will be directed to this platform to complete your registration. If you are an existing member of PSI and are prompted to enter your login credentials, this will require the email address associated with your member record and the new password you created when activating your GlueUp account.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Careers Meetings
PSI Training Course: Repeated Measured and Mixed Models
Date: Thursday 14th - Friday 15th October 2021 Time: 10:00-12:30 & 14:00-16:30 BST on both days Location: Online Presenters: Linda Sharples and James Carpenter (LSHTM)
Who is this event intended for? This course is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models and want to further their knowledge of repeated measures and other clustered data. What is the benefit of attending? By the end of the course attendees will know how to analyse repeated measures of patients through time or other clustered data in randomised clinical trials and associated observational studies. Attendees will develop their knowledge on conditional models for continuous hierarchical and longitudinal data, GEE and discrete models. Pre-recorded lectures will allow trainees to go through course materials when convenient for them and have some time to think over and understand the topics. Practical exercises will allow hands-on experience when working with this type of data and presenters will be available during the course to answer any questions.
Overview
Repeated measures of patients through time and other clustered data are common in randomised clinical trials and associated observational studies. Measurements taken from the same patient (or from the same cluster) are likely to be correlated, so that the assumption that all responses will be identically distributed and independent from each other will not hold. Ignoring within-cluster correlation will result in bias in the estimate of the treatment effect standard error and therefore, incorrect confidence intervals and hypothesis tests. In some situations it can also result in bias in the treatment estimate itself. Using a range of worked examples, this course will explain how to analyse repeated measures and other clustered data, with an emphasis on estimating treatment effects using the appropriate covariance structure between measurements.
This course is presented through recorded lectures and online 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.
Topics covered include:
• Conditional models for continuous hierarchical data
• Conditional models for continuous longitudinal data
• Marginal models (GEE) for continuous longitudinal data
• Discrete data
Course cost
NB: This course has Early-Bird rates available. These are valid for bookings on or before 17:00 BST Wednesday 15th September only. Early-bird Members = £300+VAT Early-bird Non-Members = £425+VAT* Regular Members = £340+VAT Regular Non-Members = £465+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021, and entirety of the 2022 calendar year.
Registration
This course is fully booked.
Places for this course are limited and in high-demand, so please ensure you are able to attend before booking. Please note: PSI have moved to a new membership platform called GlueUp. When registering for this event, you will be directed to this platform to complete your registration. If you are an existing member of PSI and are prompted to enter your login credentials, this will require the email address associated with your member record and the new password you created when activating your GlueUp account.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
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.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Joint PSI/EFSPI Pre-Clinical SIG Webinar: Virtual Control Groups in Toxicity Studies
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
Joint PSI/EFSPI Data Science SIG Webinar: Developing Digital Measures (Digital Biomarkers) in Drug Development – insights from Mobilise D consortium
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Webinar: Development of Gene Therapies: Strategic, Scientific, Regulatory and Access Considerations
This webinar will cover the history of cell/gene therapy, major regulatory advances, the role of quantitative scientists in drug development of these novel therapeutics, and discuss opportunities for innovation and product advancement.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Introduction to Industry Training (ITIT) Course - 2024/2025
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Statisticians in the Pharmaceutical Industry Executive Office: c/o MCI UK Ltd | Unit 24/22 South | Building 4000 | Langstone Park| Langstone Road | Havant | PO9 1SA | UK