Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
A PSI Training Course in Practical Bayesian Analysis presented by:
25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
This two day course introduces practical Bayesian analysis in the clinical trial setting.
This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.
The course will provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®, so that by the end of the course you will be able to conduct your own analyses. Some other resources that facilitate Bayesian analysis will be briefly discussed, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.
A laptop is strongly recommended to be able to follow the examples, but is not essential. SAS (version 9.2 and 9.3), WinBUGS or OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.
About the presenters:
Phil Woodward, Pfizer
After graduating with a BSc in statistics and mathematics, Phil Woodward worked for 13 years in the nuclear and automotive industries, during which time he completed an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems. Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."
James Matcham, AstraZeneca
After completing his studies at Imperial College in 1986, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.
James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).
Course runs from: 10:00 – 17:00 (registration from 9:30) on Day 1 and
9:00 – 16:30 on Day 2.
Registration
| Please register online at www.psiweb.org and click on Events; payment now available online. Registration costs (includes lunch and refreshments) | |
| Early-Bird Registration on or before 17 Jan 2014 PSI Members: £495 plus vat Non-members: £530 plus vat | Standard Registration after 17 Jan 2014 PSI Members: £595 plus vat Non-members: £630 plus vat |
PSI reserves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline, in which case the course fees and any hotel booking costs made through PSI will be refunded.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements.
For further information please contact:
Emma Lovett, Tel: +44 (0)845 180 349, Fax: +44 (0)1730 715291,
Email: PSI@mci-group.com
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
A PSI Training Course in Practical Bayesian Analysis presented by:
25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
This two day course introduces practical Bayesian analysis in the clinical trial setting.
This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.
The course will provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®, so that by the end of the course you will be able to conduct your own analyses. Some other resources that facilitate Bayesian analysis will be briefly discussed, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.
A laptop is strongly recommended to be able to follow the examples, but is not essential. SAS (version 9.2 and 9.3), WinBUGS or OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.
About the presenters:
Phil Woodward, Pfizer
After graduating with a BSc in statistics and mathematics, Phil Woodward worked for 13 years in the nuclear and automotive industries, during which time he completed an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems. Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."
James Matcham, AstraZeneca
After completing his studies at Imperial College in 1986, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.
James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).
Course runs from: 10:00 – 17:00 (registration from 9:30) on Day 1 and
9:00 – 16:30 on Day 2.
Registration
| Please register online at www.psiweb.org and click on Events; payment now available online. Registration costs (includes lunch and refreshments) | |
| Early-Bird Registration on or before 17 Jan 2014 PSI Members: £495 plus vat Non-members: £530 plus vat | Standard Registration after 17 Jan 2014 PSI Members: £595 plus vat Non-members: £630 plus vat |
PSI reserves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline, in which case the course fees and any hotel booking costs made through PSI will be refunded.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements.
For further information please contact:
Emma Lovett, Tel: +44 (0)845 180 349, Fax: +44 (0)1730 715291,
Email: PSI@mci-group.com
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
A PSI Training Course in Practical Bayesian Analysis presented by:
25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
This two day course introduces practical Bayesian analysis in the clinical trial setting.
This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.
The course will provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®, so that by the end of the course you will be able to conduct your own analyses. Some other resources that facilitate Bayesian analysis will be briefly discussed, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.
A laptop is strongly recommended to be able to follow the examples, but is not essential. SAS (version 9.2 and 9.3), WinBUGS or OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.
About the presenters:
Phil Woodward, Pfizer
After graduating with a BSc in statistics and mathematics, Phil Woodward worked for 13 years in the nuclear and automotive industries, during which time he completed an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems. Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."
James Matcham, AstraZeneca
After completing his studies at Imperial College in 1986, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.
James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).
Course runs from: 10:00 – 17:00 (registration from 9:30) on Day 1 and
9:00 – 16:30 on Day 2.
Registration
| Please register online at www.psiweb.org and click on Events; payment now available online. Registration costs (includes lunch and refreshments) | |
| Early-Bird Registration on or before 17 Jan 2014 PSI Members: £495 plus vat Non-members: £530 plus vat | Standard Registration after 17 Jan 2014 PSI Members: £595 plus vat Non-members: £630 plus vat |
PSI reserves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline, in which case the course fees and any hotel booking costs made through PSI will be refunded.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements.
For further information please contact:
Emma Lovett, Tel: +44 (0)845 180 349, Fax: +44 (0)1730 715291,
Email: PSI@mci-group.com
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
A PSI Training Course in Practical Bayesian Analysis presented by:
25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
This two day course introduces practical Bayesian analysis in the clinical trial setting.
This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.
The course will provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®, so that by the end of the course you will be able to conduct your own analyses. Some other resources that facilitate Bayesian analysis will be briefly discussed, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.
A laptop is strongly recommended to be able to follow the examples, but is not essential. SAS (version 9.2 and 9.3), WinBUGS or OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.
About the presenters:
Phil Woodward, Pfizer
After graduating with a BSc in statistics and mathematics, Phil Woodward worked for 13 years in the nuclear and automotive industries, during which time he completed an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems. Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."
James Matcham, AstraZeneca
After completing his studies at Imperial College in 1986, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.
James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).
Course runs from: 10:00 – 17:00 (registration from 9:30) on Day 1 and
9:00 – 16:30 on Day 2.
Registration
| Please register online at www.psiweb.org and click on Events; payment now available online. Registration costs (includes lunch and refreshments) | |
| Early-Bird Registration on or before 17 Jan 2014 PSI Members: £495 plus vat Non-members: £530 plus vat | Standard Registration after 17 Jan 2014 PSI Members: £595 plus vat Non-members: £630 plus vat |
PSI reserves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline, in which case the course fees and any hotel booking costs made through PSI will be refunded.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements.
For further information please contact:
Emma Lovett, Tel: +44 (0)845 180 349, Fax: +44 (0)1730 715291,
Email: PSI@mci-group.com
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
A PSI Training Course in Practical Bayesian Analysis presented by:
25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
This two day course introduces practical Bayesian analysis in the clinical trial setting.
This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.
The course will provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®, so that by the end of the course you will be able to conduct your own analyses. Some other resources that facilitate Bayesian analysis will be briefly discussed, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.
A laptop is strongly recommended to be able to follow the examples, but is not essential. SAS (version 9.2 and 9.3), WinBUGS or OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.
About the presenters:
Phil Woodward, Pfizer
After graduating with a BSc in statistics and mathematics, Phil Woodward worked for 13 years in the nuclear and automotive industries, during which time he completed an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems. Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."
James Matcham, AstraZeneca
After completing his studies at Imperial College in 1986, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.
James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).
Course runs from: 10:00 – 17:00 (registration from 9:30) on Day 1 and
9:00 – 16:30 on Day 2.
Registration
| Please register online at www.psiweb.org and click on Events; payment now available online. Registration costs (includes lunch and refreshments) | |
| Early-Bird Registration on or before 17 Jan 2014 PSI Members: £495 plus vat Non-members: £530 plus vat | Standard Registration after 17 Jan 2014 PSI Members: £595 plus vat Non-members: £630 plus vat |
PSI reserves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline, in which case the course fees and any hotel booking costs made through PSI will be refunded.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements.
For further information please contact:
Emma Lovett, Tel: +44 (0)845 180 349, Fax: +44 (0)1730 715291,
Email: PSI@mci-group.com
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
A PSI Training Course in Practical Bayesian Analysis presented by:
25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW
This two day course introduces practical Bayesian analysis in the clinical trial setting.
This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.
The course will provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®, so that by the end of the course you will be able to conduct your own analyses. Some other resources that facilitate Bayesian analysis will be briefly discussed, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.
A laptop is strongly recommended to be able to follow the examples, but is not essential. SAS (version 9.2 and 9.3), WinBUGS or OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.
About the presenters:
Phil Woodward, Pfizer
After graduating with a BSc in statistics and mathematics, Phil Woodward worked for 13 years in the nuclear and automotive industries, during which time he completed an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems. Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."
James Matcham, AstraZeneca
After completing his studies at Imperial College in 1986, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.
James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).
Course runs from: 10:00 – 17:00 (registration from 9:30) on Day 1 and
9:00 – 16:30 on Day 2.
Registration
| Please register online at www.psiweb.org and click on Events; payment now available online. Registration costs (includes lunch and refreshments) | |
| Early-Bird Registration on or before 17 Jan 2014 PSI Members: £495 plus vat Non-members: £530 plus vat | Standard Registration after 17 Jan 2014 PSI Members: £595 plus vat Non-members: £630 plus vat |
PSI reserves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline, in which case the course fees and any hotel booking costs made through PSI will be refunded.
PSI aims to be fully inclusive and endeavours to accommodate delegates with disabilities wherever possible. Please help us to help you by letting us know if you require additional facilities or have any special requirements.
For further information please contact:
Emma Lovett, Tel: +44 (0)845 180 349, Fax: +44 (0)1730 715291,
Email: PSI@mci-group.com
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.
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.
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.
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|---|---|---|---|
| _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. | |||
