BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20170803T085135Z
DTSTART:20160420T090000Z
DTEND:20160420T150000Z
SUMMARY:Assessing and adjusting for missing data in longitudinal studies
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}dkn-ih22amt
 g-qonr05
DESCRIPTION:It is intended that students attending the course will be abl
 e to assess the implications of non-response for different kinds of data
 sets that they might use.  Students new to longitudinal data should cons
 ider taking the CMIST short course running immediately before this one. 
 The course will not cover multiple imputation in any detail and students
  particularly interested in this topic should take one of the other spec
 ialist NCRM courses.\n\nThe course begins with a general overview of met
 hods for handling missing data. It is followed by an introduction to res
 ponse propensity models and their use in constructing non-response weigh
 ts\; this is linked to a practical session using data from the National 
 Child Development Study (NCDS). After lunch\, there is a session on how 
 to estimate R (for representativity) indicators and Receiver Operating C
 haracteristic (ROC) curves for assessing bias and prediction\; this is l
 inked to a practical session using data from the Millennium Cohort Study
  (MCS). The day concludes with a session on assessing missingness with r
 epeated measures data.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Basement Lab\, Humanities Bridgeford Street\, Manchester
END:VEVENT
END:VCALENDAR