BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69d93423bc505
DTSTART;TZID=America/Toronto:20220922T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20220922T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-stephen-senn
SUMMARY:David Sprott Distinguished Lecture by Stephen Senn
CLASS:PUBLIC
DESCRIPTION:Please Note: This seminar will be given online.\n\nWHATEVER HA
 PPENED TO DESIGN-BASED INFERENCE?\n\n-------------------------\n\nWhat exa
 ctly should we think about appropriate analyses for designed\nexperiments 
 and why? If conditional inference trumps marginal\ninference\, why should 
 we care about randomisation? Isn’t everything\njust modelling? The Rotha
 msted School held that design matters. Taking\nan example of applying John
  Nelder’s general balance approach to a\nnotorious problem\, Lord’s pa
 radox\, I shall show that there may be\nsome lessons for two fashionable t
 opics: causal analysis and big data.\nI shall conclude that if we want not
  only to make good estimates but\nestimate how good our estimates are\, de
 sign does matter.\n\n-------------------------
DTSTAMP:20260410T173219Z
END:VEVENT
END:VCALENDAR