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http://hdl.handle.net/1942/15705
Title: | Implementation of mitigated fraction estimators in SAS based on existing R package | Authors: | NYAGA, Victoria | 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 | Document URI: | http://hdl.handle.net/1942/15705 | Category: | T2 | Type: | Theses and Dissertations |
Appears in Collections: | Master theses |
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11317252012009.pdf | 1.14 MB | Adobe PDF | View/Open |
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