BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Bio: Judith Lok is a Professor of Mathematics and Statistics a
 t Boston University. She has been on the faculty of the Department of Mat
 hematics and Statistics at Boston University since 2018. She does researc
 h on adaptive clinical trial designs (LAGO)\, causal inference\, and surv
 ival analysis. Her application areas include HIV\, COVID-19 in the ICU\, 
 bacterial infections\, HCV\, overdoses\, and mother and child health. She
  obtained her PhD in Mathematical Statistics from the Free University of 
 Amsterdam in 2001. Before her PhD\, she worked as an MS statistician at t
 he Amsterdam Medical Center\, and after her PhD\, she was a postdoc in ma
 thematical statistics (Utrecht) and then medical statistics (Leiden)\, al
 l in The Netherlands. In 2005 she became a visiting scholar at the Depart
 ments of Epidemiology and Biostatistics of the Harvard TH Chan School of 
 Public Health\, and in 2006 an Assistant Professor and then an Associate 
 Professor of Biostatistics at the Harvard TH Chan School of Public Health
 . At Boston University she teaches a causal inference course that she pro
 posed and developed\, for undergraduates\, MS students\, and PhD students
 \, and she also teaches other statistics courses. Judith Lok is MPI on an
 d R01 on LAGO with Donna Spiegelman. Abstract: Mediation analysis\, which
  started in the mid-1980s\, is used extensively by applied researchers. I
 ndirect and direct effects are the parts of a treatment effect that is me
 diated by a covariate (indirect effect) and the part that is not (direct 
 effect). Subsequent work on natural and pure indirect and direct effects 
 provides a formal causal interpretation\, based on cross-worlds counterfa
 ctuals: outcomes under treatment with the mediator set to its value witho
 ut treatment. Organic indirect and direct effects avoid cross-worlds coun
 terfactuals\, using so-called organic interventions on the mediator while
  keeping the initial treatment fixed. We argue that pure and organic indi
 rect effects are very relevant for drug development. 1] They are often th
 e effect of a treatment through its intended pathway\, and 2] they can be
  estimated without on-treatment outcome data. We illustrate our approach 
 by estimating the pure/organic indirect effect of alpha-DEspR\, a potenti
 al treatment for COVID-19 in the ICU\, mediated by DEspR+ neutrophil nets
 . alpha-DEspR targets elimination of DEspR+[NET+Ns] to attenuate or preve
 nt multi-organ failure in critical COVID-19. alpha-DEspR eliminates DEspR
 + neutrophil nets in rats and in petri dishes\; it is hoped\, also in hum
 ans. Using the sequential organ failure assessment (SOFA)-score as a meas
 ure of disease severity\, we estimated the pure/organic indirect effect o
 f alpha-DEspR using data from patients with COVID-19 not treated with alp
 ha-DEspR. Our analysis illustrates the pre-clinical promise of alpha-DEsp
 R\, to be used as an argument to fund an early-stage randomized clinical 
 trial to collect on-treatment outcomes and estimate the overall effect of
  alpha-DEspR – thus giving insight into clinical trial design. This illus
 trates how causal mediation analysis can be used as a potential translati
 onal bridge from petri dish and/or animal model testing towards clinical 
 trial testing.\n\nSpeaker:\nJudith Lok\n\nAdmission:\nFree\n\nFood:\nLunc
 h: Boxed lunches with vegan and vegetarian options will be available\n\nD
 etails URL:\nhttps://medicine.yale.edu/event/cmips-seminar-judith-lok-cop
 y/\n
DTEND;TZID=America/New_York:20251111T130000
DTSTAMP:20260411T192006Z
DTSTART;TZID=America/New_York:20251111T120000
LOCATION:URL: https://yale.zoom.us/j/93826464895?from=addon
SEQUENCE:0
STATUS:Confirmed
SUMMARY:CMIPS Seminar: Judith Lok "Causal mediation analysis and the promi
 se of alpha-DEspR\, a preclinical potential COVID-19 treatment in the ICU
 "
UID:30a35fde-7758-41da-aa65-93dc75ab9eb6
END:VEVENT
END:VCALENDAR