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DTSTART;VALUE=DATE:20250101
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DESCRIPTION:Dates:&nbsp\;\nSession 1 - Monday 15th September 2025\nSession 
 2 - Tuesday 16th September 2025\nSession 3 - Wednesday 17th September 2025
 \nTime:&nbsp\;13:00 - 16:00 GMT+1\nLocation:&nbsp\;Online via Zoom\n\nWho 
 is this event intended for?&nbsp\;\nThis course is aimed at biostatisticia
 ns with no or some pediatric drug development experience who are intereste
 d to further their understanding.&nbsp\;\n\nWhat is the benefit of attendi
 ng?&nbsp\;\n\n    Understand the pediatric drug development\, pediatric re
 gulation and related process.\n    Gain familiarity with the statistical m
 ethodologies\, innovative designs and tools for extrapolation.\n    Gain f
 amiliarity with requirements and considerations in pediatric safety evalua
 tion and assessment.\n\nOverview\nThis is a short course where we will giv
 e you an introduction to the pediatric drug development landscape. This wi
 ll include identifying the key regulations and processes governing pediatr
 ic development\, a discussion on the needs and challenges when conducting 
 pediatric research and a focus on the ways to overcome these challenges fr
 om a statistical perspective. In particular\, the extrapolation concept wi
 ll be presented through reviews and examples. We will list and give exampl
 es of the use of non-standard statistical methods that can and/or have bee
 n used in the pediatric development. These will include the use of adaptiv
 e designs\, platform trials and Bayesian approaches. There will be opportu
 nity to put these methods into practice during the practical session.\nDay
  1 (15th Sept\, 13:00-16:00)\n\n    Introduction - 30 min\n    \n        O
 verview of pediatric development\n        \n            Challenges and Nee
 d for pediatric research \n            Key Regulations and process\n      
       Pediatric plans across regions\n        \n        \n        Overview
  of ways to overcome challenges to conducting pediatric research \n    \n 
    \n    Types of Extrapolation: then vs now - 1.5 hours\n    \n        No
  extrapolation\n        Partial extrapolation\n        Full extrapolation\
 n        Extrapolation as a continuum\n    \n    \n    Recent Use of Pedia
 tric Extrapolation - 20 min\n\nDay 2 (16th Sept\, 13:00-16:00)\n\n    Stat
 istical Approaches to overcome challenges in pediatric development - 3 hou
 rs\n    \n        Safety evaluations\n        Efficacy evaluations\n      
   \n            Bayesian designs\n            Adaptive designs\n          
   Platform trials\n            Single arm designs and the use of real worl
 d data (RWD)\n        \n        \n    \n    \n\nDay 3 (17th Sept\, 13:00-1
 6:00)\n\n    Workshop/Practical - 2.5 hours\n    Summary\n    \n    \n\nRe
 quired software: R (&ge\; 3.5.0) with pre-installed packages: ggplot2 and 
 RBesT\n&nbsp\;\nCost\nEarly Bird PSI Members: &pound\;320 +VAT\nPSI Member
 s: &pound\;360 +VAT\n\nEarly Bird Non-PSI Members: &pound\;430 +VAT\nNon-P
 SI Members: &pound\;470 +VAT\n*Please note: Non-Member rates include PSI m
 embership until 31 Dec. 2025.\nRegistration\nTo register for this event\, 
 please click here.\nSpeaker details\n\n\n\n\n    \n        \n            \
 n            Speaker\n            \n            \n            Biography\n 
            \n        \n        \n             \n            Jingjing Ye\, 
 BeiGene\n            \n            \n            \n            &nbsp\;Dr. 
 Jingjing Ye is a Fellow of American Statistical Association and is current
 ly an executive director and global head of Data Science and Digital Innov
 ations (DSDI)\, with Global Statistics and Data Sciences (GSDS) in BeiGene
 . She leads a global team with diverse background supporting business func
 tions in R&amp\;D and outside R&amp\;D for their data\, analytical and tec
 hnology support. She has over 18 years&rsquo\; experience in pharmaceutica
 l industry and US FDA\, with focus in cancer drug discovery and developmen
 t. Her statistical and regulatory experience expands full spectrum on pati
 ents&rsquo\; treatment journey from diagnosis\, treatment\, to living with
  the condition. Her main research interest is the innovative trial designs
  and analyses related to small populations\, e.g.\, pediatric and rare dis
 eases. She received her PhD degree in statistics from University of Califo
 rnia\, Davis and BS in applied mathematics from Peking University.        
     \n        \n        \n            \n            \n            Foteini 
 Strimenopoulou\, UCB\n            &nbsp\;\n            \n            \n   
          Foteini Strimenopoulou is a Statistical Methodology Fellow at UCB
  Pharma and a member of the UCB Statistical Innovation Group. Her work cen
 ters on developing and implementing advanced statistical methods to suppor
 t both early and late-phase clinical trials. With a specialization in Baye
 sian statistics\, she primarily focuses on designing trials for small popu
 lations\, including pediatric patients and individuals with rare diseases.
  Foteini holds a PhD in Statistics from the University of Kent (UK) and a&
 nbsp\;Bachelor&rsquo\;s degree in Statistics from the Athens University of
  Economics and Business. \n            \n        \n    \n
DTEND:20250917T160000Z
DTSTAMP:20260722T050116Z
DTSTART:20250915T130000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Training Course: Pediatric Extrapolation
UID:RFCALITEM639202932767260622
X-ALT-DESC;FMTTYPE=text/html:<strong>Dates:&nbsp\;<br />\n</strong>Session 
 1 - Monday 15th September 2025<br />\nSession 2 - Tuesday 16th September 2
 025<br />\nSession 3 - Wednesday 17th September 2025<br />\n<strong>Time:<
 /strong>&nbsp\;13:00 - 16:00 GMT+1<br />\n<strong>Location:</strong>&nbsp\
 ;Online via Zoom<br />\n<br />\n<strong>Who is this event intended for?&nb
 sp\;<br />\n</strong>This course is aimed at biostatisticians with no or s
 ome pediatric drug development experience who are interested to further th
 eir understanding.&nbsp\;<br />\n<strong><br />\nWhat is the benefit of at
 tending?&nbsp\;</strong>\n<ul>\n    <li>Understand the pediatric drug deve
 lopment\, pediatric regulation and related process.</li>\n    <li>Gain fam
 iliarity with the statistical methodologies\, innovative designs and tools
  for extrapolation.</li>\n    <li>Gain familiarity with requirements and c
 onsiderations in pediatric safety evaluation and assessment.</li>\n</ul>\n
 <h4>Overview</h4>\n<p>This is a short course where we will give you an int
 roduction to the pediatric drug development landscape. This will include i
 dentifying the key regulations and processes governing pediatric developme
 nt\, a discussion on the needs and challenges when conducting pediatric re
 search and a focus on the ways to overcome these challenges from a statist
 ical perspective. In particular\, the extrapolation concept will be presen
 ted through reviews and examples. We will list and give examples of the us
 e of non-standard statistical methods that can and/or have been used in th
 e pediatric development. These will include the use of adaptive designs\, 
 platform trials and Bayesian approaches. There will be opportunity to put 
 these methods into practice during the practical session.</p>\n<p><strong>
 Day 1 (15<sup>th</sup> Sept\, 13:00-16:00)</strong></p>\n<ol>\n    <li>Int
 roduction - 30 min\n    <ol>\n        <li>Overview of pediatric developmen
 t\n        <ol>\n            <li>Challenges and Need for pediatric researc
 h </li>\n            <li>Key Regulations and process</li>\n            <li
 >Pediatric plans across regions</li>\n        </ol>\n        </li>\n      
   <li>Overview of ways to overcome challenges to conducting pediatric rese
 arch </li>\n    </ol>\n    </li>\n    <li>Types of Extrapolation: then vs 
 now - 1.5 hours\n    <ol>\n        <li>No extrapolation</li>\n        <li>
 Partial extrapolation</li>\n        <li>Full extrapolation</li>\n        <
 li>Extrapolation as a continuum</li>\n    </ol>\n    </li>\n    <li>Recent
  Use of Pediatric Extrapolation - 20 min</li>\n</ol>\n<p><strong>Day 2 (16
 <sup>th</sup> Sept\, 13:00-16:00)</strong></p>\n<ol>\n    <li>Statistical 
 Approaches to overcome challenges in pediatric development - 3 hours\n    
 <ol>\n        <li>Safety evaluations</li>\n        <li>Efficacy evaluation
 s\n        <ol>\n            <li>Bayesian designs</li>\n            <li>Ad
 aptive designs</li>\n            <li>Platform trials</li>\n            <li
 >Single arm designs and the use of real world data (RWD)</li>\n        </o
 l>\n        </li>\n    </ol>\n    </li>\n</ol>\n<p><strong>Day 3 (17<sup>t
 h</sup> Sept\, 13:00-16:00)</strong></p>\n<ol>\n    <li>Workshop/Practical
  - 2.5 hours</li>\n    <li>Summary</li>\n    <p><em><br />\n    </em></p>\
 n</ol>\n<em>Required software: R (&ge\; 3.5.0) with pre-installed packages
 : ggplot2 and RBesT</em>\n<p>&nbsp\;</p>\n<h4>Cost</h4>\n<p><strong>Early 
 Bird PSI Members: </strong>&pound\;320 +VAT<strong><br />\nPSI Members: </
 strong>&pound\;360 +VAT<strong><br />\n<br />\nEarly Bird Non-PSI Members:
  </strong>&pound\;430 +VAT<strong><br />\nNon-PSI Members: </strong>&pound
 \;470 +VAT<br />\n<em>*Please note: Non-Member rates include PSI membershi
 p until 31 Dec. 2025.</em></p>\n<h4>Registration</h4>\n<p>To register for 
 this event\, please <strong><span style="text-decoration: underline\;"><a 
 href="https://psi.glueup.com/event/maths-meets-medicine-exploring-careers-
 in-the-pharmaceutical-industry-130333"></a><strong><span style="text-decor
 ation: underline\;"><a href="https://psi.glueup.com/event/psi-training-cou
 rse-paediatric-extrapolation-132662/">click here.</a></span></strong></spa
 n></strong></p>\n<h4>Speaker details</h4>\n<table border="1" cellspacing="
 0" cellpadding="0">\n</table>\n<br />\n<table class="table table-striped t
 able-bordered">\n    <tbody>\n        <tr>\n            <td valign="top" s
 tyle="width: 151px\;">\n            <p><strong>Speaker</strong></p>\n     
        </td>\n            <td valign="top" style="width: 450px\;">\n      
       <p><strong>Biography</strong></p>\n            </td>\n        </tr>\
 n        <tr>\n            <td valign="top" style="width: 151px\;"><em><im
 g src="https://www.psiweb.org/images/default-source/default-album/jy-heads
 hot.png?sfvrsn=1942afdb_0&amp\;sf_site_temp=true&amp\;sf_site=00000000-000
 0-0000-0000-000000000000&amp\;MaxWidth=200&amp\;MaxHeight=200&amp\;ScaleUp
 =false&amp\;Quality=High&amp\;Method=ResizeFitToAreaArguments&amp\;Signatu
 re=283A1CDF814C82F94D734D7321C7C23F" data-method="ResizeFitToAreaArguments
 " data-customsizemethodproperties="{'MaxWidth':'200'\,'MaxHeight':'200'\,'
 ScaleUp':false\,'Quality':'High'}" data-displaymode="Custom" alt="JY Heads
 hot" title="JY Headshot" /> <br />\n            Jingjing Ye\, BeiGene<br /
 >\n            </em><br />\n            </td>\n            <td valign="top
 ">\n            &nbsp\;Dr. Jingjing Ye is a Fellow of American Statistical
  Association and is currently an executive director and global head of Dat
 a Science and Digital Innovations (DSDI)\, with Global Statistics and Data
  Sciences (GSDS) in BeiGene. She leads a global team with diverse backgrou
 nd supporting business functions in R&amp\;D and outside R&amp\;D for thei
 r data\, analytical and technology support. She has over 18 years&rsquo\; 
 experience in pharmaceutical industry and US FDA\, with focus in cancer dr
 ug discovery and development. Her statistical and regulatory experience ex
 pands full spectrum on patients&rsquo\; treatment journey from diagnosis\,
  treatment\, to living with the condition. Her main research interest is t
 he innovative trial designs and analyses related to small populations\, e.
 g.\, pediatric and rare diseases. She received her PhD degree in statistic
 s from University of California\, Davis and BS in applied mathematics from
  Peking University.            </td>\n        </tr>\n        <tr>\n       
      <td valign="top">\n            <em><img src="https://www.psiweb.org/i
 mages/default-source/default-album/fs-headshot.png?sfvrsn=3742afdb_0&amp\;
 sf_site_temp=true&amp\;sf_site=00000000-0000-0000-0000-000000000000&amp\;M
 axWidth=200&amp\;MaxHeight=200&amp\;ScaleUp=false&amp\;Quality=High&amp\;M
 ethod=ResizeFitToAreaArguments&amp\;Signature=044AA71CB60F3528B880BFC7EC04
 AB15" data-method="ResizeFitToAreaArguments" data-customsizemethodproperti
 es="{'MaxWidth':'200'\,'MaxHeight':'200'\,'ScaleUp':false\,'Quality':'High
 '}" data-displaymode="Custom" alt="FS Headshot" title="FS Headshot" /><br 
 />\n            Foteini Strimenopoulou\, UCB</em><br />\n            <p>&n
 bsp\;</p>\n            </td>\n            <td valign="top">\n            <
 p>Foteini Strimenopoulou is a Statistical Methodology Fellow at UCB Pharma
  and a member of the UCB Statistical Innovation Group. Her work centers on
  developing and implementing advanced statistical methods to support both 
 early and late-phase clinical trials. With a specialization in Bayesian st
 atistics\, she primarily focuses on designing trials for small populations
 \, including pediatric patients and individuals with rare diseases. Fotein
 i holds a PhD in Statistics from the University of Kent (UK) and a&nbsp\;B
 achelor&rsquo\;s degree in Statistics from the Athens University of Econom
 ics and Business. </p>\n            </td>\n        </tr>\n    </tbody>\n</
 table>
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