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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15705

Title: Implementation of mitigated fraction estimators in SAS based on existing R package
Authors: Nyaga, Victoriah
Advisors: SHKEDY, Ziv
LIN, Dan
Issue Date: 2013
Publisher: tUL
Abstract: Mitigated fraction is frequently used to evaluate the effect of an intervention in reducing the severity of a particular outcome, a common measure in vaccines study. It utilizes rank of the observations and measures the overlap of the two distributions using their stochastic ordering. In a vaccine trial, mitigated fraction is used to estimate the relative increase in probability that a disease will be less severe in the vaccinated group. SAS macros have been developed using SAS/IML in equivalence with existing R functions in MF package to estimate the mitigated fraction both for independent and clustered data. The macros also provide asymptotic and bootstrap-based confidence interval. The macros were evaluated using real life data from a vaccine study and were validated by comparing output generated by the equivalent existing R functions available in MF package.
Notes: Master of Statistics-Biostatistics
URI: http://hdl.handle.net/1942/15705
Category: T2
Type: Theses and Dissertations
Appears in Collections: Master theses

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