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DTSTART;VALUE=DATE:20250101
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BEGIN:VEVENT
DESCRIPTION:Date: Thursday 28th October 2021\nTime: 16:00-17:00 BST\nSpeake
 r:&nbsp\;Prof. Dan-Yu Lin (Department of Biostatistics\, University of Nor
 th Carolina at Chapel Hill)\n\nWho is this event intended for?&nbsp\;Stati
 sticians working on Vaccines or related topics to COVID-19.\nWhat is the b
 enefit of attending?&nbsp\;To learn how to evaluate the duration of protec
 tion of COVID -19 vaccines and about the performance of blinded and unblin
 ded crossover designs in estimating long-term vaccine efficacy.\nOverview\
 nLarge-scale deployment of safe and durably effective vaccines can curtail
  the COVID-19 pandemic. The COVID-19 vaccines currently in use were approv
 ed on the basis of efficacy and safety data from phase 3 trials with a med
 ian follow-up time of only about two months. Because of crossover\, the ph
 ase 3 trials provided little information about the efficacy of these vacci
 nes beyond 6 months. Typically\, estimates of vaccine efficacy over broad 
 time intervals are reported\, which are not informative about the level of
  waning at the end of the observation period. Observational studies can po
 tentially provide information about long-term vaccine effectiveness\, but 
 they are more difficult to be analysed. In this talk\, I will discuss how 
 to properly measure and estimate vaccine efficacy/effectiveness as a funct
 ion of time elapsed since vaccination while properly accounting for changi
 ng transmission rates over calendar time. I will present results on the lo
 ng-term effectiveness of the Pfizer\, Moderna\, and Janssen vaccines again
 st Covid-19\, hospitalisation\, and death in the United States.\nRegistrat
 ion\nYou can now register for this event. This event is&nbsp\;free of char
 ge&nbsp\;to both Members and Non Members of PSI.\nTo register your place\,
  please click here.\nSpeaker Details\n\n\n\n    \n        \n            \n
             Speaker\n            \n            \n            Abstract\n   
          \n        \n        \n            \n            \n            Pro
 f. Dan-Yu Lin\n            \n            \n            Large-scale deploym
 ent of safe and durably effective vaccines can curtail the COVID-19 pandem
 ic. However\, the high vaccine efficacy reported by ongoing phase 3 placeb
 o-controlled clinical trials is based on a median follow-up time of only a
 bout two months and thus does not pertain to long-term efficacy. To evalua
 te the duration of protection while allowing trial participants timely acc
 ess to efficacious vaccine\, investigators can sequentially cross particip
 ants over from the placebo arm to the vaccine arm. Here\, we show how to e
 stimate potentially time-varying placebo-controlled vaccine efficacy in th
 is type of staggered vaccination of participants. In addition\, we compare
  the performance of blinded and unblinded crossover designs in estimating 
 long-term vaccine efficacy.\n            \n        \n    \n\n&nbsp\;
DTEND:20211028T160000Z
DTSTAMP:20260910T220443Z
DTSTART:20211028T150000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Vaccine SIG Webinar: Evaluating the Durability of Protection fo
 r COVID-19 Vaccines
UID:RFCALITEM639246746832327651
X-ALT-DESC;FMTTYPE=text/html:<strong>Date:</strong> Thursday 28th October 2
 021<br />\n<strong>Time: </strong>16:00-17:00 BST<br />\n<strong>Speaker:&
 nbsp\;</strong>Prof. Dan-Yu Lin (Department of Biostatistics\, University 
 of North Carolina at Chapel Hill)<br />\n<br />\n<strong>Who is this event
  intended for?</strong>&nbsp\;Statisticians working on Vaccines or related
  topics to COVID-19.<br />\n<strong>What is the benefit of attending?</str
 ong>&nbsp\;To learn how to evaluate the duration of protection of COVID -1
 9 vaccines and about the performance of blinded and unblinded crossover de
 signs in estimating long-term vaccine efficacy.<br />\n<h4>Overview</h4>\n
 <p>Large-scale deployment of safe and durably effective vaccines can curta
 il the COVID-19 pandemic. The COVID-19 vaccines currently in use were appr
 oved on the basis of efficacy and safety data from phase 3 trials with a m
 edian follow-up time of only about two months. Because of crossover\, the 
 phase 3 trials provided little information about the efficacy of these vac
 cines beyond 6 months. Typically\, estimates of vaccine efficacy over broa
 d time intervals are reported\, which are not informative about the level 
 of waning at the end of the observation period. Observational studies can 
 potentially provide information about long-term vaccine effectiveness\, bu
 t they are more difficult to be analysed. In this talk\, I will discuss ho
 w to properly measure and estimate vaccine efficacy/effectiveness as a fun
 ction of time elapsed since vaccination while properly accounting for chan
 ging transmission rates over calendar time. I will present results on the 
 long-term effectiveness of the Pfizer\, Moderna\, and Janssen vaccines aga
 inst Covid-19\, hospitalisation\, and death in the United States.</p>\n<h4
 >Registration</h4>\n<p>You can now register for this event. This event is&
 nbsp\;free of charge&nbsp\;to both Members and Non Members of PSI.<br />\n
 To register your place\, please <strong><a href="https://psi.glueup.com/ev
 ent/44499/" target="_blank">click here</a></strong>.</p>\n<h4>Speaker Deta
 ils</h4>\n<table border="1" cellspacing="0" cellpadding="0">\n</table>\n<t
 able class="table table-striped table-bordered">\n    <tbody>\n        <tr
 >\n            <td valign="top" style="width: 94px\;">\n            <p><st
 rong>Speaker</strong></p>\n            </td>\n            <td valign="top"
  style="width: 507px\;">\n            <p><strong>Abstract</strong></p>\n  
           </td>\n        </tr>\n        <tr>\n            <td valign="top"
  style="width: 94px\;">\n            <p><img src="https://www.psiweb.org/i
 mages/default-source/default-album/dan-yu-linedit.png?sfvrsn=39eca6db_0&am
 p\;sf_site_temp=true&amp\;sf_site=00000000-0000-0000-0000-000000000000&amp
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 ethod=ResizeFitToAreaArguments&amp\;Signature=63196997C10990EECE0C6921A988
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  data-displaymode="Custom" alt="Dan-Yu Linedit" title="Dan-Yu Linedit" /><
 br />\n            Prof. Dan-Yu Lin</p>\n            </td>\n            <t
 d valign="top" style="width: 507px\;">\n            <p>Large-scale deploym
 ent of safe and durably effective vaccines can curtail the COVID-19 pandem
 ic. However\, the high vaccine efficacy reported by ongoing phase 3 placeb
 o-controlled clinical trials is based on a median follow-up time of only a
 bout two months and thus does not pertain to long-term efficacy. To evalua
 te the duration of protection while allowing trial participants timely acc
 ess to efficacious vaccine\, investigators can sequentially cross particip
 ants over from the placebo arm to the vaccine arm. Here\, we show how to e
 stimate potentially time-varying placebo-controlled vaccine efficacy in th
 is type of staggered vaccination of participants. In addition\, we compare
  the performance of blinded and unblinded crossover designs in estimating 
 long-term vaccine efficacy.</p>\n            </td>\n        </tr>\n    </t
 body>\n</table>\n<p>&nbsp\;</p>
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