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|Title: ||Implementation of mitigated fraction estimators in SAS based on existing R package|
|Authors: ||Nyaga, Victoriah|
|Advisors: ||SHKEDY, Ziv|
|Issue Date: ||2013|
|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|
|Type: ||Theses and Dissertations|
|Appears in Collections: ||Master theses|
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