CIRS/SWB Webinar: “An Overview of Some Methods for Statistical Analysis with Missing Data”

Map Unavailable

Date(s) - 20/09/2023
6:00 pm - 7:30 pm

Category(ies) No Categories


Dear Colleagues,

We are excited to announce our upcoming CIRS/SWB Webinar titled “An Overview of Some Methods for Statistical Analysis with Missing Data” by Professor Rod Little, to take place on September 20th, 2023, 12PM-1:30PM ET (or 6PM-7:30 CET).


Our webinar series, sponsored jointly by the American Statistical Association’s Committee on International Relations in Statistics (CIRS) and by Statistics Without Borders (SWB), provides introductory lectures by experts on important topics of current interest, and is aimed at an international audience.


Please  join us by registering [] for this webinar and help us spread the word by forwarding this to colleagues you think might be interested.  Participation is free but registration is required.   We have attached a flyer for the event and provide more information below.   We look forward to seeing you there!




Carolina Franco and Alex Schmidt, ASA CIRS, and Sloka Iyengar, SWB





Rod Little, University of Michigan


Missing data are a common problem in statistics; examples include unit and item nonresponse in surveys, attrition in longitudinal data sets, and missing data arising from noncompliance to treatments in clinical trials. I review some approaches to handling the problem. Topics include (a) pros and cons of common methods, specifically analysis of the complete cases, nonresponse weighting and extensions,  maximum likelihood, Bayes and multiple imputation; (b) approaches to missing data when the data are potentially missing not at random; (c) subsample ignorable likelihood approaches for regression with missing data, which address particular missing not at random mechanisms by selectively omitting data; and (d) causal inference under noncompliance to treatments as a missing data problem.


About the presenter:

Rod Little is Richard D. Remington Distinguished University Professor of Biostatistics at the University of Michigan, where he also holds appointments in the Department of Statistics and the Institute for Social Research. He has over 300 publications, notably on methods for the analysis of data with missing values and model-based survey inference, and the application of statistics to diverse scientific areas, including medicine, demography, economics, psychiatry, aging and the environment. Little is an elected member of the International Statistical Institute, a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and a member of the National Academy of Medicine. In 2005, Little was awarded the American Statistical Association’s prestigious Wilks Medal for research contributions, and he gave the President’s Invited Address at the Joint Statistical Meetings. He was the COPSS Fisher Lecturer at the 2012 Joint Statistics Meetings.