A PSI Training Course in Practical Bayesian Analysis presented by:
Phil Woodward, Pfizer
James Matcham, AstraZeneca
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.
A PSI Training Course in Practical Bayesian Analysis presented by:
Phil Woodward, Pfizer
James Matcham, AstraZeneca
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.
A PSI Training Course in Practical Bayesian Analysis presented by:
Phil Woodward, Pfizer
James Matcham, AstraZeneca
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.
A PSI Training Course in Practical Bayesian Analysis presented by:
Phil Woodward, Pfizer
James Matcham, AstraZeneca
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.
A PSI Training Course in Practical Bayesian Analysis presented by:
Phil Woodward, Pfizer
James Matcham, AstraZeneca
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.
A PSI Training Course in Practical Bayesian Analysis presented by:
Phil Woodward, Pfizer
James Matcham, AstraZeneca
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.
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