Evaluation of stability of directly standardized rates for sparse data using simulation methods

Evaluation of stability of directly standardized rates for sparse data using simulation methods

Abstract Background Directly standardized rates (DSRs) adjust for different age distributions in different populations and enable, say, the rates of disease between the populations to be directly compared. They are routinely published but there is concern that a DSR is not valid when it is based on...

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Bibliographic Details
Main Authors: Joan K. Morris, Joachim Tan, Paul Fryers, Jonathan Bestwick
Format: Article
Language:English
Published: BMC 2018-12-01
Series:Population Health Metrics
Subjects:
Direct standardization
Monte Carlo simulation
Confidence interval coverage
Tiwari
Dobson
Online Access:http://link.springer.com/article/10.1186/s12963-018-0177-1

Internet

http://link.springer.com/article/10.1186/s12963-018-0177-1

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