Statistical Methods for Aggregation of Indirect Information

Description

How to properly aggregate indirect information is more and more important. In this dissertation, we will present two aspects of the issue: indirect comparison of treatment effects and aggregation of ordered-based rank data. / Statistics

Links & Downloads

1. Han, Simeng. 2014. Statistical Methods for Aggregation of Indirect Information. Doctoral dissertation, Harvard University.
2. http://dissertations.umi.com/gsas.harvard:11348
3. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274529

Tags

Statistics

Indirect Comparison

Information Integration

Population Matching

Rank Aggregation

Additional Fields

Identifer	oai:union.ndltd.org:harvard.edu/oai:dash.harvard.edu:1/12274529
Date	04 June 2015
Creators	Han, Simeng
Contributors	Liu, Jun
Publisher	Harvard University
Source Sets	Harvard University
Language	en_US
Detected Language	English
Type	Thesis or Dissertation
Rights	open