BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260923T125312EDT-2279GKsgoZ@132.216.98.100
DTSTAMP:20260923T165312Z
DESCRIPTION:James Hanley\, PhD\n\nProfessor\, Department of Epidemiology\, 
 Biostatistics and Occupational Health\, McGill University\n\nPopulation da
 ta to measure mortality reductions produced by organized cancer screening:
  analyze with care\n\nALL ARE WELCOME\n\nAbstract:\n\nAlthough many of the
  trials were carried out decades ago\, and did not necessarily produce val
 id or precise estimates of the reductions that might be expected from a su
 stained screening program\, data from randomized cancer screening trials a
 re still relied on by many task forces. Re-analyses of the published data 
 from two trials will be used to illustrate why\, if screening does what it
  is intended to do\, hazard rates are automatically non-proportional\; the
 y cannot be handled within prevailing Cochrane meta-analysis practices.\n
 \nIncreasingly\, the focus is on non-experimental evidence\, i.e.\, data f
 rom populations where organized screening programs have been introduced.\n
 \nIn the evaluation of the impact of such programs\, before-after comparis
 ons of cancer mortality rates need to take account of concomitant improvem
 ents in cancer care over these same decades. Time-\, age- and place-matche
 d comparisons\, and attention to which deaths could/could not be averted b
 y the screening program\, are essential for valid estimates of benefit.\n
 \nUsing organized population-based programs of mammography screening for b
 reast cancer as an example\, we show that by ignoring these issues\, many 
 of the prevailing statistical approaches to the analysis of such populatio
 n-based data underestimate the mortality reductions produced by these prog
 rams. Statistical approaches that can deal with these 'dilutions' will be 
 described.\n\n[Joint work with Ailish Hannigan\, Olli Saarela and Harald W
 eedon-Fekjaer\; supported by CIHR]\n\nBio:\n\nwww.medicine.mcgill.ca/epide
 miology/hanley/\n
DTSTART:20151013T193000Z
DTEND:20151013T203000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Biostatistics Seminar
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/biostatistics-sem
 inar-256035
END:VEVENT
END:VCALENDAR