Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
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