A A A

Click below to share this page

Latest Human Wellbeing News

Professor Sibylle Mittnacht interviewed by Clare Hastings at The Institute of Cancer Research, London

New role uncovered for ‘oldest’ tumour suppressor gene

Published: Mar 27, 2015 12:25:07 PM

Approximate geographic sampling location of donor (circles) and recipient (diamonds) populations analyzed.

Complex genetic ancestry of Americans uncovered

Published: Mar 24, 2015 5:01:13 PM

Mother brushing child's teeth

More than a third of 12-year-olds embarrassed to smile because of their teeth

Published: Mar 19, 2015 12:46:19 PM




Missing data: analysis and design

Monday 29 July, 2pm-5pm (break at 3.15pm for 10 mins)

Venue: Archaeology G6 Lecture Theatre, UCL Institute of Archaeology, 31-34 Gordon Square, London, WC1H 0PY

Register here

Workshop will be led by John W. Graham, Pennsylvania State University:
In this half-day workshop, I will draw heavily on material from his recently published book, Missing Data: Analysis and Design, and other recent publications. He will present a sketch of missing data theory, including descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. I discuss attrition and nonignorable missingness, emphasizing the need for longitudinal diagnostics and for reducing the uncertainty about the missing data mechanism under attrition. Strategies suggested for reducing attrition bias include using auxiliary variables, collecting follow-up data on a sample of those initially missing, and collecting data on intent to drop out. I also present a description of a planned missing data design known as two method measurement (TMM). The TMM design offers researchers a cost-effective strategy for maximizing power and construct validity when the best measures of key constructs are very costly. I discuss recent advances in the use of the TMM design in the context of assessing blood pressure, body fat, and physical activity. The workshop will consist of lectures, computer demonstrations, and open discussion.

Relevant readings:

Graham, J. W. (2012). Missing Data: Analysis and Design. New York: Springer.

Graham, J. W. (2009). Missing data analysis: making it work in the real world. Annual Review of Psychology, 60, 549-576.

Page last modified on 26 jun 13 14:56