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DTSTART:20251002T030000
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DESCRIPTION:14.00-15.30 UK Time\n\nIn September 2018 the FDA published a gu
 idance on adaptive design for clinical trials of drugs and biologics\, upd
 ating (not finalizing) its initial draft from February 2010.&nbsp\; The ma
 in focus of the webinar will be to provide an overview of its main content
 s\, which will be presented by J&uuml\;rgen Hummel (PPD). In addition\, Ka
 spar Rufibach (Roche) will introduce an open-source statistical software f
 or adaptive designs\, RPACT (an R package that enables the design and anal
 ysis of confirmatory adaptive clinical trials).&nbsp\; Kit Roes will also 
 comment on the guidance from a European Regulatory perspective\, which wil
 l be followed by a brief panel discussion.\n\nRegistration\n\nThis Webinar
  is free to attend\, to register please click here.\n\n    \n        \n   
          \n            &nbsp\;\n            J&uuml\;rgen Hummel joined PPD
  near Glasgow (Scotland) in 2006\, where he is Senior Director\, Statistic
 al Science. He heads up the statistical science track within PPD Biostatis
 tics and provides statistical consultancy both internally and externally. 
 Specifically\, he has been leading PPD&rsquo\;s cross-departmental Adaptiv
 e Design Working Group since it was set up 8 year ago.&nbsp\; In his caree
 r he held a variety of technical and managerial positions within the biost
 atistics department of different organizations\, predominantly within the 
 CRO industry.&nbsp\; J&uuml\;rgen earned a Diplom (German equivalent of a 
 master&rsquo\;s degree) in mathematics and economics at Augsburg Universit
 y\, Germany\, and has been a chartered statistician with the Royal Statist
 ical Society since 2006. &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;\n        
 \n        \n            \n            &nbsp\;\n            Kaspar Rufibach
  is a member of Roche's Methods\, Collaboration\, and Outreach group and l
 ocated in Basel. He does methodological research\, provides consulting to 
 Roche statisticians and broader project teams\, gives biostatistics traini
 ngs for statisticians and non-statisticians in- and externally\, mentors s
 tudents\, and interacts with external partners in industry and the academi
 c community in various working groups. He has co-founded and co-leads the 
 Oncology estimand Working group that currently has 31 members from 19 comp
 anies and works on various topics around estimands in oncology. Research i
 nterests are methods to optimize study designs\, advanced survival analysi
 s\, probability of success\, estimands\, estimation of treatment effects i
 n subgroups\, and general nonparametric statistics. Before joining Roche\,
  Kaspar received training and worked as a statistician at the Universities
  of Bern\, Stanford\, and Zurich.\n        \n        \n            \n     
        &nbsp\;\n            Kit Roes is Professor of Clinical Trial Method
 ology at the Julius Center of the University Medical Center Utrecht. His r
 esearch focus is on design and analysis of clinical trials\, with an empha
 sis of innovative designs\, rare diseases and bridging the gap between cli
 nical trials and real world evidence. He participates in the Regulatory Sc
 ience Network Netherlands\, is chair of Methodology at the Dutch Medicine 
 Evaluation Board and member of the Biostatistics Working Party of the EMA.
  He serves on multiple Data and Safety Monitoring Boards. His experience i
 ncludes over 20 years in clinical research and development in the pharmace
 utical industry and academic life sciences\, serving clinical research and
  drug development as expert as well as in different (international) senior
  management positions.\n        \n    \n\n
DTEND:20190704T133000Z
DTSTAMP:20260807T191730Z
DTSTART:20190704T120000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Webinar: Adaptive design: updated draft FDA guidance and its im
 plications
UID:RFCALITEM639217270507024209
X-ALT-DESC;FMTTYPE=text/html:<p>14.00-15.30 UK Time<br />\n<br />\nIn Septe
 mber 2018 the FDA published a guidance on adaptive design for clinical tri
 als of drugs and biologics\, updating (not finalizing) its initial draft f
 rom February 2010.&nbsp\; The main focus of the webinar will be to provide
  an overview of its main contents\, which will be presented by J&uuml\;rge
 n Hummel (PPD). In addition\, Kaspar Rufibach (Roche) will introduce an op
 en-source statistical software for adaptive designs\, RPACT (an R package 
 that enables the design and analysis of confirmatory adaptive clinical tri
 als).&nbsp\; Kit Roes will also comment on the guidance from a European Re
 gulatory perspective\, which will be followed by a brief panel discussion.
 <br />\n<strong><br />\nRegistration<br />\n<br />\n</strong>This Webinar 
 is free to attend\, to register please <a href="https://members.psiweb.org
 /Core_Content_PSI/Events/Event_Display.aspx?EventKey=181">click here</a>.<
 /p>\n<table class="PSI-default-table">\n    <tbody>\n        <tr class="PS
 I-default-tableTableHeaderRow">\n            <td class="PSI-default-tableT
 ableHeaderFirstCol"><br />\n            &nbsp\;<img title="Photo Jurgen Hu
 mmel (2019)" alt="Photo Jurgen Hummel (2019)" src="https://psiweb.org/imag
 es/default-source/default-album/photo-jurgen-hummel-(2019)deb2bdff3ad665b3
 a176ff00001f6b97.tmb-medium.jpg?Culture=en&sfvrsn=1364d8db_1&sf_site_temp=
 true&sf_site=00000000-0000-0000-0000-000000000000" data-displaymode="Thumb
 nail" /></td>\n            <td class="PSI-default-tableTableHeaderLastCol"
 ><span style="font-size: 13px\;">J&uuml\;rgen Hummel joined PPD near Glasg
 ow (Scotland) in 2006\, where he is Senior Director\, Statistical Science.
  He heads up the statistical science track within PPD Biostatistics and pr
 ovides statistical consultancy both internally and externally. Specificall
 y\, he has been leading PPD&rsquo\;s cross-departmental Adaptive Design Wo
 rking Group since it was set up 8 year ago.&nbsp\; In his career he held a
  variety of technical and managerial positions within the biostatistics de
 partment of different organizations\, predominantly within the CRO industr
 y.&nbsp\; J&uuml\;rgen earned a Diplom (German equivalent of a master&rsqu
 o\;s degree) in mathematics and economics at Augsburg University\, Germany
 \, and has been a chartered statistician with the Royal Statistical Societ
 y since 2006.</span> &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;</td>\n       
  </tr>\n        <tr class="PSI-default-tableTableOddRow">\n            <td
  class="PSI-default-tableTableFirstCol"><br />\n            &nbsp\;<img ti
 tle="Photo Kaspar Rufibach" alt="Photo Kaspar Rufibach" src="https://psiwe
 b.org/images/default-source/default-album/photo-kaspar-rufibach0ab3bdff3ad
 665b3a176ff00001f6b97.tmb-thumbnail.jpg?Culture=en&sfvrsn=c765d8db_1&sf_si
 te_temp=true&sf_site=00000000-0000-0000-0000-000000000000" data-displaymod
 e="Thumbnail" /></td>\n            <td class="PSI-default-tableTableLastCo
 l"><span style="font-size: 13px\;">Kaspar Rufibach is a member of Roche's 
 Methods\, Collaboration\, and Outreach group and located in Basel. He does
  methodological research\, provides consulting to Roche statisticians and 
 broader project teams\, gives biostatistics trainings for statisticians an
 d non-statisticians in- and externally\, mentors students\, and interacts 
 with external partners in industry and the academic community in various w
 orking groups. He has co-founded and co-leads the Oncology estimand Workin
 g group that currently has 31 members from 19 companies and works on vario
 us topics around estimands in oncology. Research interests are methods to 
 optimize study designs\, advanced survival analysis\, probability of succe
 ss\, estimands\, estimation of treatment effects in subgroups\, and genera
 l nonparametric statistics. Before joining Roche\, Kaspar received trainin
 g and worked as a statistician at the Universities of Bern\, Stanford\, an
 d Zurich.</span></td>\n        </tr>\n        <tr class="PSI-default-table
 TableEvenRow">\n            <td class="PSI-default-tableTableFirstCol"><br
  />\n            &nbsp\;<img title="RoesK" alt="RoesK" src="https://psiweb
 .org/images/default-source/default-album/roesk1fb3bdff3ad665b3a176ff00001f
 6b97.tmb-thumbnail.jpg?Culture=en&sfvrsn=d265d8db_1&sf_site_temp=true&sf_s
 ite=00000000-0000-0000-0000-000000000000" data-displaymode="Thumbnail" /><
 /td>\n            <td class="PSI-default-tableTableLastCol"><span style="f
 ont-size: 13px\;">Kit Roes is Professor of Clinical Trial Methodology at t
 he Julius Center of the University Medical Center Utrecht. His research fo
 cus is on design and analysis of clinical trials\, with an emphasis of inn
 ovative designs\, rare diseases and bridging the gap between clinical tria
 ls and real world evidence. He participates in the Regulatory Science Netw
 ork Netherlands\, is chair of Methodology at the Dutch Medicine Evaluation
  Board and member of the Biostatistics Working Party of the EMA. He serves
  on multiple Data and Safety Monitoring Boards. His experience includes ov
 er 20 years in clinical research and development in the pharmaceutical ind
 ustry and academic life sciences\, serving clinical research and drug deve
 lopment as expert as well as in different (international) senior managemen
 t positions.</span></td>\n        </tr>\n    </tbody>\n</table>\n<br />
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