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:682a0d9edab48 DTSTART;TZID=America/Toronto:20220922T160000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20220922T160000 URL:/statistics-and-actuarial-science/events/david-spro tt-distinguished-lecture-stephen-senn SUMMARY:David Sprott Distinguished Lecture by Stephen Senn CLASS:PUBLIC DESCRIPTION:Summary \n\nPlease Note: This seminar will be given online.\n\ nDistinguished Lecture Series\n\nSTEPHEN SENN\n_Consultant Statistician_\n \nWHATEVER HAPPENED TO DESIGN-BASED INFERENCE?\n\n------------------------ -\n\nWhat exactly 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 modelli ng? The Rothamsted School held that design matters. Taking\nan example of applying John Nelder’s general balance approach to a\nnotorious problem\ , Lord’s paradox\, I shall show that there may be\nsome lessons for two fashionable topics: causal analysis and big data.\nI shall conclude that i f we want not only to make good estimates but\nestimate how good our estim ates are\, design does matter.\n\n-------------------------\n DTSTAMP:20250518T164102Z END:VEVENT END:VCALENDAR