BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.4//EN BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD DTSTART;VALUE=DATE:20250101 TZNAME:UTC TZOFFSETFROM:+0000 TZOFFSETTO:+0000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:Dates &\; Times:\nModule 1 - Wednesday 20th November: 09:00- 12:30 BST\nModule 2 - Tuesday 26th November: 09:00-12:30 BST\nModule 3 - T hursday 28th November: 09:00-12:30 BST\n\nLocation:\nOnline via Zoom\n\nSp eakers: \;Andy Grieve (Statistical Consultant)\, Gemma Hodgson (Qi Sta tistics Ltd.)\n\nWho is this event intended for? \;This online course is aimed at beginner Bayesians who have little or no experience in Bayesia n statistics.\nWhat is the benefit of attending? \;After attending par ticipants should be able to understand the background\, concepts\, benefit s and risks of using it using examples form the pharmaceutical industry an d evaluate for their projects whether using Bayesian methods would be appr opriate\, as well as understanding the basic steps needed to take in desig ning a Bayesian study.\nCost\nEarly Bird PSI Members = \;£\;320+V AT\nPSI Members \;= £\;360+VAT\n\nEarly Bird Non-Members \;= £\;430+VAT\nNon-Members \;= £\;470+VAT\n*Please note: \; Non-Member rates include PSI membership until 31 Dec. 2025.\n\nRegistratio n\nTo book your place\, please \;click here.\n\nRegistration for this event has now closed. \;If you would like to attend this event in the future\, please contact admin@psiweb.org \;so we can get in touch with you directly when registration opens.\n\n\nOverview\nThis interactive and hands on online course\, aimed at beginner Bayesians who have little or n o experience in Bayesian statistics\, is split into 3 modules. Module 1 in troduces Bayesian concepts and looks at how Bayes has been used recently i n the Pharmaceutical Industry\, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Modu le 2 takes a look at the concepts of Bayesian statistics and key terminolo gy and provides a chance to analyse some data using a simple Bayesian appr oach. Module 3 takes a further look at the use of Bayesian statistics in d rug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate la nguage will be provided.\nBy the end of the course\, participants should b e able to:\n \;- Understand Bayes theorem and the basic maths behind t he Bayesian approach\n \;- Understand the concepts and benefits of Bay esian approach\n \;- Be confident in explaining to a project team why a Bayeisan approach may be \n \;  \;appropriate\n \;- Know how to setup a basic Bayesian analysis in SAS or R\n \;- Understand the n ecessary model checking and caveats when using Bayesian Methods\n \;- Be aware of case studies in drug development that use Bayesian Methods\n&n bsp\;- Know where to go for further help setting up and running a Bayesian study\nSpeaker details\n\n\n\n \n \n \n S peaker\n \n \n Biography\n \n \n \n \n Andy Grieve\n Andr ew P. Grieve is a Visiting Professor at King&rsquo\;s College London and a Statistical Consultant with Weatherden Ltd having recently retired from t he position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical I ndustry) and a past-President of the Royal Statistical Society. He has ove r 45 years of experience as a biostatistician working in the pharmaceutica l industry and academia. He has been active in the majority of areas of ph armaceutical R&\;D in which statistical methods and statisticians are i ntimately involved including drug discovery\, pre-clinical toxicology\, ph armaceutical development\, pharmacokinetics and pharmacodynamics\, phase I -IV of clinical development\, manufacturing\, health economics and clinica l operations. Since the early 1980s he has promoted the use of Bayesian me thods in pharmaceutical R&\;D and his statistical research has been pri marily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials\, and the Probability of Success (PoS) of studies and dru g development programs. He has published over 140 articles and is the auth or of two. He has been an invited speaker at national and international co nferences on over 300 occasions.\n \n \n \n \n Gemma Hodgson\n \n \n Gemma Hodgson is a Chartered Statistician and has worked with clients app lying statistics in several industries. Gemma&rsquo\;s career began with w ork as a Medical Statistician in the Pharmaceutical industry for over 20 y ears\, working for large multinational pharmaceutical companies\, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statis tics Ltd. which offers statistical training and consultancy services for a ll industries\, including R&\;D\, manufacturing\, food &\; consumer goods and general business.\n Gemma has considerable experience in rolling out statistical training programmes to both statisticians and non-statisticians in a variety of industries where in modern global compan ies it is becoming increasingly important for non-statisticians to underst and the value and applications of statistics in order to maximise the valu e of their data.\n Gemma has a broad interest in the applicatio n of statistics and is an experienced trainer to all types of audience\, s pecialising in translating technical concepts into everyday English.\n \n \n \n\n \; DTEND:20241128T123000Z DTSTAMP:20260417T055424Z DTSTART:20241120T090000Z LOCATION: SEQUENCE:0 SUMMARY:PSI Training Course: Introduction to Bayesian Methods UID:RFCALITEM639120020640267602 X-ALT-DESC;FMTTYPE=text/html:Dates &\; Times:
\nMo dule 1 - Wednesday 20th November: 09:00-12:30 BST
\nModule 2 - Tuesda y 26th November: 09:00-12:30 BST
\nModule 3 - Thursday 28th November: 09:00-12:30 BST
\n
\nLocation:
\nOnline v ia Zoom
\n
\nSpeakers: \;Andy Grie ve (Statistical Consultant)\, Gemma Hodgson (Qi Statistics Ltd.)
\n
\nWho is th is event intended for? \;This online course is aimed at begin ner Bayesians who have little or no experience in Bayesian statistics.
\nWhat is the benefit of attending? \;After attendi ng participants should be able to understand the background\, concepts\, b enefits and risks of using it using examples form the pharmaceutical indus try and evaluate for their projects whether using Bayesian methods would b e appropriate\, as well as understanding the basic steps needed to take in designing a Bayesian study.\n

Cost

\n

Early Bird PSI Mem bers = \;£\;320+VAT
\nPSI Members& nbsp\;= £\;360+VAT
\n
\nEarly Bird Non-Members \;= £\;430+VAT
\nNon-Members \;= & pound\;470+VAT
\n*Please note: \;Non-Member rates include PSI membership until 31 Dec. 2025.
\n

\n

Registration

\n< p>To book your place\, please \;click here.
\n
\nRegistration for this event has now cl osed. \;If you would like to attend this event in the future\, please contact admin@psiweb.org \;so we can get in touch with y ou directly when registration opens.
\n
\n

\n

Ove rview

\n

This interactive and hands on online course\, aimed at begi nner Bayesians who have little or no experience in Bayesian statistics\, i s split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry\, and par ticipants will undertake their own data collection exercise in order to an alyse a simple Bayesian trial. Module 2 takes a look at the concepts of Ba yesian statistics and key terminology and provides a chance to analyse som e data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirem ents and digs deeper into analysis issues. Workshops will be provided to d o as homework between the sessions. Participants can use R or SAS and a wo rked solution in the appropriate language will be provided.
\nBy the end of the course\, participants should be able to:
\n \;- Unders tand Bayes theorem and the basic maths behind the Bayesian approach
\ n \;- Understand the concepts and benefits of Bayesian approach
\ n \;- Be confident in explaining to a project team why a Bayeisan appr oach may be
\n \;  \;appropriate
\n \;- Know how to setup a basic Bayesian analysis in SAS or R
\n \;- Understand th e necessary model checking and caveats when using Bayesian Methods
\n  \;- Be aware of case studies in drug development that use Bayesian Me thods
\n \;- Know where to go for further help setting up and run ning a Bayesian study

\n

Speaker details

\n\n
\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
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Speaker< /p>\n

\n

Biography

\n
Andy Grieve
\n Andy Grieve		Andrew P. Grieve is a Visiting Professor at King&rsquo\;s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position o f Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry an d academia. He has been active in the majority of areas of pharmaceutical R&\;D in which statistical methods and statisticians are intimately inv olved including drug discovery\, pre-clinical toxicology\, pharmaceutical development\, pharmacokinetics and pharmacodynamics\, phase I-IV of clinic al development\, manufacturing\, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in phar maceutical R&\;D and his statistical research has been primarily concer ned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive tri als\, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions.
\n

Gemma Hodgson
\n Gemma Hodgson

\n 		\n

Gemma Hodgson is a Chartered Statistician and has wo rked with clients applying statistics in several industries. Gemma&rsquo\; s career began with work as a Medical Statistician in the Pharmaceutical i ndustry for over 20 years\, working for large multinational pharmaceutical companies\, from ph I through to ph IV. Since 2012 Gemma has worked for a nd now owns Qi Statistics Ltd. which offers statistical training and consu ltancy services for all industries\, including R&\;D\, manufacturing\, food &\; consumer goods and general business.
\n Gemma has considerable experience in rolling out statistical training programmes to both statisticians and non-statisticians in a variety of industries wh ere in modern global companies it is becoming increasingly important for n on-statisticians to understand the value and applications of statistics in order to maximise the value of their data.
\n Gemma has a broad interest in the application of statistics and is an experienced tra iner to all types of audience\, specialising in translating technical conc epts into everyday English.

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