RMF2010 Abstracts
Session: 52 - Thursday 8th July AM (9.15 - 12.45)
Title: Combining data: quantitative methods and applications
Name: Sylvia Richardson
Affiliation: NCRM BIAS node
Abstract Details
The papers in this session show the advantages and methods of combining and using linked data - both linked individual and aggregate data. The papers show the advantages of having such linked data and two of the papers illustrate how one can improve the consistency of estimates when you combine data sources.
Presentation downloads
Presenter: Jane Holmes
Combining individual and aggregate data to improve estimates of ethnic voting in Britain in 2001 and 2005
Presenter: A J Mason
Bayesian Graphical Models for Combining Multiple Data Sources
Presenter: Jassy Molitor
Evidence Synthesis for Longitudinal Studies of Ageing
Presentation details
1
Start time: 09:15
Presentation title: Bayesian Graphical Models for Combining Multiple Data Sources
Author: Alexina Mason
Affiliation:Imperial College
2
Start time:
09:45
Presentation
title:Combining Survey & Administrative Data to Deal with Missing Ordingal Covariates with Informative Selection
Author:Sophia Rabe-Hesketch & Alfonso Miranda
Affiliation:University of California, Berkeley & University of London
3
Start time:
10:15
Presentation
title:Combining Individual and Aggregate Data to Improve Estimates of Ethnic Voting in Britain in 2001 and 2005
Author:Jane De-Lance Holmes
Affiliation:Imperial College
4
Start time:
11:15
Presentation
title:Methods for Incorporating Follow-Up Data on ALSPAC Non-Respondents
Author:Michael Spratt & Paul Clarke
Affiliation:Bristol University
5
Start time:
11:45
Presentation
title:Jassy Molitor
Author:Bayesian Hierarchical Model for Combining Multiple Longitudinal Ageing Studies
Affiliation:Imperial College
