2002 Meeting of the SSC, Hamilton, Ontario

Activities Sponsored by the Survey Methods Section

Workshop on Survey Methods, May 26, 2002

Handling Missing Data

Speakers: David Haziza and Karla Nobrega, Statistics Canada

Most research studies (observational or experimental) have some level of nonresponse. This one-day workshop introduces attendees to the concepts, implications and methods to handle nonresponse. Survey and epidemiological study frameworks will be used to illustrate differences in nonresponse mechanisms, in methods dealing with nonresponse and in estimation in the presence of nonresponse. Issues such as unit and item survey nonresponse will be discussed along with compliance, intent to treat and complete case analysis in both observational and experimental epidemiological studies. Much of the discussion will be at an introductory level focusing on both survey and health research examples.

Invited Sessions

Joint Session of Business and Industrial Statistics/Survey Methods Sections


  • Narasimha Prasad (University of Alberta)


  • Joseph Farruggia (AC Nielson Canada)
  • Fernando Camacho (DAMOS Associates)

Spatial Sampling


  • Subash Lele (University of Alberta)


  • Steve Cumming (Boreal Ecosystems Research) and Subhash Lele (University of Alberta)
  • Steve Thompson (Pennsylvania State University)
  • Jim Zidek (University of British Columbia), Nhu D. Le (BC Cancer Agency) and Li Sun (Ericsson Berkeley Research Center)

New Research Findings in Analysis Methods for Survey Data


  • Georgia Roberts (Statistics Canada)


  • Christian Boudreau and Jerry Lawless (University of Waterloo)
  • Brajendra Sutradhar (Memorial University) and Milorad Kovacevic (Statistics Canada)
  • Roland Thomas (Carleton University) and André Cyr (Statistics Canada)


  • David Binder (Statistics Canada)

Statistical Indexes


  • Susana Rubin-Bleuer (Statistics Canada)


  • Lenka Mach and Abdelnasser Saïdi (Statistics Canada)
  • Janice Lent (U.S. Bureau of Transportation Statistics)
  • Alan Dorfmann (U.S. Bureau of Labor Statistics)
  • Jack Triplett (The Brookings Institution)