Bayesian Methods and Computation for Large Observational Datasets

Bayesian Methods and Computation for Large Observational Datasets

Much health related research depends heavily on the analysis of a rapidly expanding universe of observational data. A challenge in analysis of such data is the lack of sound statistical methods and tools that can address multiple facets of estimating treatment or exposure effects in observational st...

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Bibliographic Details
Main Author: Watts, Krista Leigh
Other Authors: Dominici, Francesca
Language:en_US
Published: Harvard University 2013
Subjects:
Biostatistics
Statistics
Adjustment Uncertainty
Bayesian Statistics
Comparative Effectiveness Research
Confounding Adjustment
Multiple Exposure
Propensity Score
Online Access:http://dissertations.umi.com/gsas.harvard:10895
http://nrs.harvard.edu/urn-3:HUL.InstRepos:11124844

Internet

http://dissertations.umi.com/gsas.harvard:10895
http://nrs.harvard.edu/urn-3:HUL.InstRepos:11124844

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