BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon-2026//speaker//HMXKYU
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-juliacon-2026-7B9YZJ@pretalx.com
DTSTART;TZID=CET:20260812T121500
DTEND;TZID=CET:20260812T123000
DESCRIPTION:The most popular modeling framework in pharmacometrics is nonli
 near mixed-effects modeling. In the pharmacometric application of the mode
 l framework\, the time dimension is typically a solution to a dynamical sy
 stem. The combination of the nonlinearity of the statistical model and the
  computational costs of numerically solving differential equations has mad
 e the use of staged programming necessary in all available software packag
 es. The staged programming requirement has historically been associated wi
 th a large maintenance burden\, but staged programming is also what Julia 
 was designed for. In this talk\, I outline the modeling class most popular
  in pharmacometrics\, give an overview of how historical solutions are use
 d\, and explain how Julia is well suited for pharmacometrics.
DTSTAMP:20260502T104016Z
LOCATION:Room 4
SUMMARY:Staged programming in pharmacometrics - Andreas Noack
URL:https://pretalx.com/juliacon-2026/talk/7B9YZJ/
END:VEVENT
END:VCALENDAR